Command Line

Help:

plottoolbox --help

about

$ plottoolbox about --help
usage: plottoolbox about [-h]

Display version number and system information.

options:
  -h, --help  show this help message and exit

autocorrelation

$ plottoolbox autocorrelation --help
usage: plottoolbox autocorrelation [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--xlim XLIM]
  [--ylim YLIM] [--grid] [--xlabel_rotation XLABEL_ROTATION]
  [--ylabel_rotation YLABEL_ROTATION] [--por] [--round_index ROUND_INDEX]
  [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--plot_styles PLOT_STYLES]

The "autocorrelation" creates an autocorrelation plot.

The horizontal lines in the plot correspond to 95% and 99% confidence bands.

The dashed line is 99% confidence band.

Only available for a single time-series.

Data must be organized as 'index,y1'. Can only plot one series.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --xlabel_rotation XLABEL_ROTATION
      [optional]
      Rotation for major x-axis labels for plots.
  --ylabel_rotation YLABEL_ROTATION
      [optional]
      Rotation for major y-axis labels for plots.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

bar

$ plottoolbox bar --help
usage: plottoolbox bar [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--bar_hatchstyles
  BAR_HATCHSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim
  XLIM] [--ylim YLIM] [--grid] [--label_rotation LABEL_ROTATION] [--label_skip
  LABEL_SKIP] [--force_freq FORCE_FREQ] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"bar" make a bar or column plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --bar_hatchstyles BAR_HATCHSTYLES
      [optional, default to "auto", only used if type equal to "bar", "barh",
      "bar_stacked", and "barh_stacked"]
      If 'auto' will iterate through the available matplotlib hatch types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      ┌─────────────────┬───────────────────┐
      │ bar_hatchstyles │ Description       │
      ╞═════════════════╪═══════════════════╡
      │ /               │ diagonal hatching │
      ├─────────────────┼───────────────────┤
      │ \               │ back diagonal     │
      ├─────────────────┼───────────────────┤
      │ |               │ vertical          │
      ├─────────────────┼───────────────────┤
      │ -               │ horizontal        │
      ├─────────────────┼───────────────────┤
      │ +               │ crossed           │
      ├─────────────────┼───────────────────┤
      │ x               │ crossed diagonal  │
      ├─────────────────┼───────────────────┤
      │ o               │ small circle      │
      ├─────────────────┼───────────────────┤
      │ O               │ large circle      │
      ├─────────────────┼───────────────────┤
      │ .               │ dots              │
      ├─────────────────┼───────────────────┤
      │ *               │ stars             │
      ╘═════════════════╧═══════════════════╛

  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --label_rotation LABEL_ROTATION
      [optional]
      Rotation for major labels for bar plots.
  --label_skip LABEL_SKIP
      [optional]
      Skip for major labels for bar plots.
  --force_freq FORCE_FREQ
      [optional, output format]
      Force this frequency for the output. Typically you will only want to
      enforce a smaller interval where toolbox_utils will insert missing
      values as needed. WARNING: you may lose data if not careful with
      this option. In general, letting the algorithm determine the
      frequency should always work, but this option will override. Use
      PANDAS offset codes.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

barh

$ plottoolbox barh --help
usage: plottoolbox barh [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--bar_hatchstyles
  BAR_HATCHSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim
  XLIM] [--ylim YLIM] [--grid] [--label_rotation LABEL_ROTATION] [--label_skip
  LABEL_SKIP] [--force_freq FORCE_FREQ] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"barh" creates a horizontal bar plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --bar_hatchstyles BAR_HATCHSTYLES
      [optional, default to "auto", only used if type equal to "bar", "barh",
      "bar_stacked", and "barh_stacked"]
      If 'auto' will iterate through the available matplotlib hatch types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      ┌─────────────────┬───────────────────┐
      │ bar_hatchstyles │ Description       │
      ╞═════════════════╪═══════════════════╡
      │ /               │ diagonal hatching │
      ├─────────────────┼───────────────────┤
      │ \               │ back diagonal     │
      ├─────────────────┼───────────────────┤
      │ |               │ vertical          │
      ├─────────────────┼───────────────────┤
      │ -               │ horizontal        │
      ├─────────────────┼───────────────────┤
      │ +               │ crossed           │
      ├─────────────────┼───────────────────┤
      │ x               │ crossed diagonal  │
      ├─────────────────┼───────────────────┤
      │ o               │ small circle      │
      ├─────────────────┼───────────────────┤
      │ O               │ large circle      │
      ├─────────────────┼───────────────────┤
      │ .               │ dots              │
      ├─────────────────┼───────────────────┤
      │ *               │ stars             │
      ╘═════════════════╧═══════════════════╛

  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --label_rotation LABEL_ROTATION
      [optional]
      Rotation for major labels for bar plots.
  --label_skip LABEL_SKIP
      [optional]
      Skip for major labels for bar plots.
  --force_freq FORCE_FREQ
      [optional, output format]
      Force this frequency for the output. Typically you will only want to
      enforce a smaller interval where toolbox_utils will insert missing
      values as needed. WARNING: you may lose data if not careful with
      this option. In general, letting the algorithm determine the
      frequency should always work, but this option will override. Use
      PANDAS offset codes.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

barh_stacked

$ plottoolbox barh_stacked --help
usage: plottoolbox barh_stacked [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--bar_hatchstyles
  BAR_HATCHSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim
  XLIM] [--ylim YLIM] [--grid] [--label_rotation LABEL_ROTATION] [--label_skip
  LABEL_SKIP] [--force_freq FORCE_FREQ] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"barh_stacked" makes a horizontal stacked bar plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --bar_hatchstyles BAR_HATCHSTYLES
      [optional, default to "auto", only used if type equal to "bar", "barh",
      "bar_stacked", and "barh_stacked"]
      If 'auto' will iterate through the available matplotlib hatch types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      ┌─────────────────┬───────────────────┐
      │ bar_hatchstyles │ Description       │
      ╞═════════════════╪═══════════════════╡
      │ /               │ diagonal hatching │
      ├─────────────────┼───────────────────┤
      │ \               │ back diagonal     │
      ├─────────────────┼───────────────────┤
      │ |               │ vertical          │
      ├─────────────────┼───────────────────┤
      │ -               │ horizontal        │
      ├─────────────────┼───────────────────┤
      │ +               │ crossed           │
      ├─────────────────┼───────────────────┤
      │ x               │ crossed diagonal  │
      ├─────────────────┼───────────────────┤
      │ o               │ small circle      │
      ├─────────────────┼───────────────────┤
      │ O               │ large circle      │
      ├─────────────────┼───────────────────┤
      │ .               │ dots              │
      ├─────────────────┼───────────────────┤
      │ *               │ stars             │
      ╘═════════════════╧═══════════════════╛

  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --label_rotation LABEL_ROTATION
      [optional]
      Rotation for major labels for bar plots.
  --label_skip LABEL_SKIP
      [optional]
      Skip for major labels for bar plots.
  --force_freq FORCE_FREQ
      [optional, output format]
      Force this frequency for the output. Typically you will only want to
      enforce a smaller interval where toolbox_utils will insert missing
      values as needed. WARNING: you may lose data if not careful with
      this option. In general, letting the algorithm determine the
      frequency should always work, but this option will override. Use
      PANDAS offset codes.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

bar_stacked

$ plottoolbox bar_stacked --help
usage: plottoolbox bar_stacked [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--bar_hatchstyles
  BAR_HATCHSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim
  XLIM] [--ylim YLIM] [--grid] [--label_rotation LABEL_ROTATION] [--label_skip
  LABEL_SKIP] [--force_freq FORCE_FREQ] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"barh_stacked" creates a horizontal stacked bar plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --bar_hatchstyles BAR_HATCHSTYLES
      [optional, default to "auto", only used if type equal to "bar", "barh",
      "bar_stacked", and "barh_stacked"]
      If 'auto' will iterate through the available matplotlib hatch types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      ┌─────────────────┬───────────────────┐
      │ bar_hatchstyles │ Description       │
      ╞═════════════════╪═══════════════════╡
      │ /               │ diagonal hatching │
      ├─────────────────┼───────────────────┤
      │ \               │ back diagonal     │
      ├─────────────────┼───────────────────┤
      │ |               │ vertical          │
      ├─────────────────┼───────────────────┤
      │ -               │ horizontal        │
      ├─────────────────┼───────────────────┤
      │ +               │ crossed           │
      ├─────────────────┼───────────────────┤
      │ x               │ crossed diagonal  │
      ├─────────────────┼───────────────────┤
      │ o               │ small circle      │
      ├─────────────────┼───────────────────┤
      │ O               │ large circle      │
      ├─────────────────┼───────────────────┤
      │ .               │ dots              │
      ├─────────────────┼───────────────────┤
      │ *               │ stars             │
      ╘═════════════════╧═══════════════════╛

  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --label_rotation LABEL_ROTATION
      [optional]
      Rotation for major labels for bar plots.
  --label_skip LABEL_SKIP
      [optional]
      Skip for major labels for bar plots.
  --force_freq FORCE_FREQ
      [optional, output format]
      Force this frequency for the output. Typically you will only want to
      enforce a smaller interval where toolbox_utils will insert missing
      values as needed. WARNING: you may lose data if not careful with
      this option. In general, letting the algorithm determine the
      frequency should always work, but this option will override. Use
      PANDAS offset codes.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

bootstrap

$ plottoolbox bootstrap --help
<string>:375: (WARNING/2) Option list ends without a blank line; unexpected unindent.
<string>:377: (ERROR/3) Unexpected indentation.
<string>:384: (WARNING/2) Block quote ends without a blank line; unexpected unindent.
usage: plottoolbox bootstrap [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--bootstrap_size BOOTSTRAP_SIZE] [--bootstrap_samples BOOTSTRAP_SAMPLES]
  [--grid] [--por] [--invert_xaxis] [--invert_yaxis] [--round_index
  ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y]
  [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors
  HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X]
  [--vlines_ymin VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors
  VLINES_COLORS] [--vlines_linestyles VLINES_LINESTYLES]

"bootstrap" creates a plot that visually assess aspects of a data set by
plotting random selections of values. Only available for a single time-series.

Data must be organized as 'index,y1'. Can only plot one series.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --bootstrap_size BOOTSTRAP_SIZE
      Defaults to 50.
      The size of the bootstrap.
  --bootstrap_samples BOOTSTRAP_SAMPLES
      Defaults to 500.
      The number of samples in the bootstrap.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  Option list ends without a blank line; unexpected unindent.
  --dropna DROPNA --source_units SOURCE_UNITS
  Unexpected indentation.
    [optional, default is None, transformation]
    If unit is specified for the column as the second field of a ':' delimited
    column name, then the specified units and the 'source_units' must match
    exactly.
    Any unit string compatible with the 'pint' library can be used.
  Block quote ends without a blank line; unexpected unindent.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

boxplot

$ plottoolbox boxplot --help
usage: plottoolbox boxplot [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid] [--por]
  [--invert_xaxis] [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna
  DROPNA] [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS]
  [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin
  HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

Box extends from lower to upper quartile, with line at the median. Depending on
the statistics, the wiskers represent the range of the data or 1.5 times the
inter-quartile range (Q3 - Q1).

Data must be organized as 'index,y1,y2,y3,...,yN'.  The 'index' is
  ignored and all data columns are plotted. The "columns" keyword can be used to
  duplicate or change the order of all the data columns.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

double_mass

$ plottoolbox double_mass --help
usage: plottoolbox double_mass [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS]
  [--target_units TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y
  HLINES_Y] [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX]
  [--hlines_colors HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES]
  [--vlines_x VLINES_X] [--vlines_ymin VLINES_YMIN] [--vlines_ymax
  VLINES_YMAX] [--vlines_colors VLINES_COLORS] [--vlines_linestyles
  VLINES_LINESTYLES]

"double_mass" creates a 'x,y' plot of the cumulative sum of x and y.

If the input 'x,y' dataset(s) is organized as
  'index,x1,y1,x2,y2,x3,y3,...,xN,yN' then the 'index' is ignored. If there is
  one 'x,y' dataset then it can be organized as 'index,y' where 'index' is
  used for 'x'. The "columns" keyword can be used to duplicate or change the
  order of all the data columns.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

handh

$ plottoolbox handh --help
usage: plottoolbox handh [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--subplots] [--sharex]
  [--sharey] [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles
  MARKERSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM]
  [--ylim YLIM] [--secondary_y] [--mark_right] [--grid] [--drawstyle
  DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis] [--round_index
  ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y]
  [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors
  HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X]
  [--vlines_ymin VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors
  VLINES_COLORS] [--vlines_linestyles VLINES_LINESTYLES]

"handh" creates a time series plot of a hydrograph (flow) and hyetograph
(precipitation).

Data must be organized as 'index,Q,P'. The 'index' must be a date/time and all
data columns are plotted. Legend names are taken from the column names in the
first row unless over-ridden by the legend_names keyword.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --subplots
      [optional, defaults to False]
      Make separate subplots for each time series.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --secondary_y
      [optional, default is False]
        • list/tuple: Give the column numbers or names to plot on secondary
        y-axis.
        • (string, string): The first string is the units of the primary axis,
        the second string is the units of the secondary axis if you want
        just unit conversion. Use any units or combination thereof from
        the "pint" library.
        • (callable, callable): Functions relating relationship between primary
        and secondary axis. First function will be given the values on
        primary axis and returns values on secondary axis. Second
        function will be do the inverse. Python API only.
        • string: One of pre-built (callable, callable) combinations. Can be one
        of "period".
  --mark_right
      [optional, default is True]
      When using a secondary_y axis, should the legend label the axis of the
      various time-series automatically.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

heatmap

$ plottoolbox heatmap --help
usage: plottoolbox heatmap [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--grid] [--por] [--invert_xaxis] [--invert_yaxis] [--round_index
  ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y]
  [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors
  HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X]
  [--vlines_ymin VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors
  VLINES_COLORS] [--vlines_linestyles VLINES_LINESTYLES]

"heatmap" creates a 2D heatmap of daily data, day of year x-axis, and year for
y-axis. Only available for a single, daily time-series.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

hexbin

$ plottoolbox hexbin --help
usage: plottoolbox hexbin [-h] [--input_ts INPUT_TS]
  [--reduce_C_function REDUCE_C_FUNCTION] [--gridsize GRIDSIZE] [--columns
  COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--por]
  [--invert_xaxis] [--invert_yaxis] [--source_units SOURCE_UNITS]
  [--target_units TARGET_UNITS] [--plot_styles PLOT_STYLES]

Only available for a single x,y pair with an additional, optional data column.

If the data column is not provided, the number of points in each bin is shown.

If the data column is provided, the reduce_C_function is applied to all values
within each hexagon cell.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --reduce_C_function REDUCE_C_FUNCTION
      Function of one argument that reduces all the values in a bin to a single
      number. The available options at the command line are "np.mean",
      "np.max", "np.sum", "np.std". Using the Python API can use any
      callable.
  --gridsize GRIDSIZE
      The number of hexagons in the x-direction. The corresponding number of
      hexagons in the y-direction is chosen in a way that the hexagons are
      approximately regular. Alternatively, gridsize can be a tuple with
      two elements specifying the number of hexagons in the x-direction
      and the y-direction.
  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

histogram

$ plottoolbox histogram --help
usage: plottoolbox histogram [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--sharex] [--sharey]
  [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES]
  [--style STYLE] [--grid] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS]
  [--target_units TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y
  HLINES_Y] [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX]
  [--hlines_colors HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES]
  [--vlines_x VLINES_X] [--vlines_ymin VLINES_YMIN] [--vlines_ymax
  VLINES_YMAX] [--vlines_colors VLINES_COLORS] [--vlines_linestyles
  VLINES_LINESTYLES]

"histogram" will calculate and create a histogram plot. See 'kde' for a smooth
representation of a histogram.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

kde

$ plottoolbox kde --help
usage: plottoolbox kde [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--subplots] [--sharex]
  [--sharey] [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles
  MARKERSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM]
  [--ylim YLIM] [--secondary_y] [--grid] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"kde" will create a plot of estimation of the probability density function based
on the data called kernel density estimation (KDE).

Data must be organized as 'index,y1,y2,y3,...,yN'.  The 'index' is
  ignored and all data columns are plotted. The "columns" keyword can be used to
  duplicate or change the order of all the data columns.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --subplots
      [optional, defaults to False]
      Make separate subplots for each time series.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --secondary_y
      [optional, default is False]
        • list/tuple: Give the column numbers or names to plot on secondary
        y-axis.
        • (string, string): The first string is the units of the primary axis,
        the second string is the units of the secondary axis if you want
        just unit conversion. Use any units or combination thereof from
        the "pint" library.
        • (callable, callable): Functions relating relationship between primary
        and secondary axis. First function will be given the values on
        primary axis and returns values on secondary axis. Second
        function will be do the inverse. Python API only.
        • string: One of pre-built (callable, callable) combinations. Can be one
        of "period".
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

kde_time

$ plottoolbox kde_time --help
usage: plottoolbox kde_time [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--subplots] [--sharex]
  [--sharey] [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles
  MARKERSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM]
  [--ylim YLIM] [--secondary_y] [--mark_right] [--grid] [--drawstyle
  DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis] [--round_index
  ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y]
  [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors
  HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X]
  [--vlines_ymin VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors
  VLINES_COLORS] [--vlines_linestyles VLINES_LINESTYLES]

This plot is an estimation of the probability density function based on the data
called kernel density estimation (KDE) combined with a time-series plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --subplots
      [optional, defaults to False]
      Make separate subplots for each time series.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --secondary_y
      [optional, default is False]
        • list/tuple: Give the column numbers or names to plot on secondary
        y-axis.
        • (string, string): The first string is the units of the primary axis,
        the second string is the units of the secondary axis if you want
        just unit conversion. Use any units or combination thereof from
        the "pint" library.
        • (callable, callable): Functions relating relationship between primary
        and secondary axis. First function will be given the values on
        primary axis and returns values on secondary axis. Second
        function will be do the inverse. Python API only.
        • string: One of pre-built (callable, callable) combinations. Can be one
        of "period".
  --mark_right
      [optional, default is True]
      When using a secondary_y axis, should the legend label the axis of the
      various time-series automatically.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

lag_plot

$ plottoolbox lag_plot --help
usage: plottoolbox lag_plot [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--grid] [--por] [--invert_xaxis] [--invert_yaxis] [--round_index
  ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS] [--target_units
  TARGET_UNITS] [--lag_plot_lag LAG_PLOT_LAG] [--plot_styles PLOT_STYLES]
  [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN] [--hlines_xmax
  HLINES_XMAX] [--hlines_colors HLINES_COLORS] [--hlines_linestyles
  HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin VLINES_YMIN]
  [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"lag_plot" indicates structure in the data.

Data must be organized as 'index,y1'. Can only plot one series.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --lag_plot_lag LAG_PLOT_LAG
      Defaults to 1.
      The lag used in the plot.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

lognorm_xaxis

$ plottoolbox lognorm_xaxis --help
<string>:396: (WARNING/2) Option list ends without a blank line; unexpected unindent.
<string>:398: (ERROR/3) Unexpected indentation.
<string>:442: (WARNING/2) Block quote ends without a blank line; unexpected unindent.
usage: plottoolbox lognorm_xaxis [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"lognorm_yaxis" will sort, calculate probabilities, and plot data against a y
axis lognormal distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  Option list ends without a blank line; unexpected unindent.
  --dropna DROPNA --plotting_position PLOTTING_POSITION
  Unexpected indentation.
    [optional, default is 'weibull']
    ┌────────────┬────────┬──────────────────────┬────────────────────┐
    │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
    │            │        │ -2*a)                │                    │
    ╞════════════╪════════╪══════════════════════╪════════════════════╡
    │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
    │ (default)  │        │                      │ distribution       │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
    │            │        │                      │ sampling distribu- │
    │            │        │                      │ tion               │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
    │            │        │                      │ equal intervals    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
    │            │        │                      │ distribution       │
    ├────────────┼────────┼──────────────────────┼────────────────────┤
    │ california │ NA     │ i/n                  │                    │
    ╘════════════╧════════╧══════════════════════╧════════════════════╛

    Where 'i' is the sorted rank of the y value, and 'n' is the total number of
    values to be plotted.
    The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
    Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
    weibull_xaxis, and weibull_yaxis.
  Block quote ends without a blank line; unexpected unindent.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

lognorm_yaxis

$ plottoolbox lognorm_yaxis --help
usage: plottoolbox lognorm_yaxis [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"lognorm_yaxis" will sort, calculate probabilities, and plot data against an y
axis lognormal distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --plotting_position PLOTTING_POSITION
      [optional, default is 'weibull']
      ┌────────────┬────────┬──────────────────────┬────────────────────┐
      │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
      │            │        │ -2*a)                │                    │
      ╞════════════╪════════╪══════════════════════╪════════════════════╡
      │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
      │ (default)  │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
      │            │        │                      │ sampling distribu- │
      │            │        │                      │ tion               │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
      │            │        │                      │ equal intervals    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
      │            │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ california │ NA     │ i/n                  │                    │
      ╘════════════╧════════╧══════════════════════╧════════════════════╛

      Where 'i' is the sorted rank of the y value, and 'n' is the total number
      of values to be plotted.
      The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

norm_xaxis

$ plottoolbox norm_xaxis --help
usage: plottoolbox norm_xaxis [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"norm_xaxis" will sort, calculate probabilities, and plot data against an x axis
normal distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --plotting_position PLOTTING_POSITION
      [optional, default is 'weibull']
      ┌────────────┬────────┬──────────────────────┬────────────────────┐
      │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
      │            │        │ -2*a)                │                    │
      ╞════════════╪════════╪══════════════════════╪════════════════════╡
      │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
      │ (default)  │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
      │            │        │                      │ sampling distribu- │
      │            │        │                      │ tion               │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
      │            │        │                      │ equal intervals    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
      │            │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ california │ NA     │ i/n                  │                    │
      ╘════════════╧════════╧══════════════════════╧════════════════════╛

      Where 'i' is the sorted rank of the y value, and 'n' is the total number
      of values to be plotted.
      The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

norm_yaxis

$ plottoolbox norm_yaxis --help
usage: plottoolbox norm_yaxis [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"norm_yaxis" will sort, calculate probabilities, and plot data against an y axis
normal distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --plotting_position PLOTTING_POSITION
      [optional, default is 'weibull']
      ┌────────────┬────────┬──────────────────────┬────────────────────┐
      │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
      │            │        │ -2*a)                │                    │
      ╞════════════╪════════╪══════════════════════╪════════════════════╡
      │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
      │ (default)  │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
      │            │        │                      │ sampling distribu- │
      │            │        │                      │ tion               │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
      │            │        │                      │ equal intervals    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
      │            │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ california │ NA     │ i/n                  │                    │
      ╘════════════╧════════╧══════════════════════╧════════════════════╛

      Where 'i' is the sorted rank of the y value, and 'n' is the total number
      of values to be plotted.
      The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

probability_density

$ plottoolbox probability_density --help
usage: plottoolbox probability_density [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--subplots]
  [--sharex] [--sharey] [--colors COLORS] [--linestyles LINESTYLES]
  [--markerstyles MARKERSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis
  YAXIS] [--xlim XLIM] [--ylim YLIM] [--secondary_y] [--grid] [--por]
  [--invert_xaxis] [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna
  DROPNA] [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS]
  [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin
  HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

Probability plot.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --subplots
      [optional, defaults to False]
      Make separate subplots for each time series.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --secondary_y
      [optional, default is False]
        • list/tuple: Give the column numbers or names to plot on secondary
        y-axis.
        • (string, string): The first string is the units of the primary axis,
        the second string is the units of the secondary axis if you want
        just unit conversion. Use any units or combination thereof from
        the "pint" library.
        • (callable, callable): Functions relating relationship between primary
        and secondary axis. First function will be given the values on
        primary axis and returns values on secondary axis. Second
        function will be do the inverse. Python API only.
        • string: One of pre-built (callable, callable) combinations. Can be one
        of "period".
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

scatter_matrix

$ plottoolbox scatter_matrix --help
usage: plottoolbox scatter_matrix [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--scatter_matrix_diagonal SCATTER_MATRIX_DIAGONAL] [--grid] [--por]
  [--invert_xaxis] [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna
  DROPNA] [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS]
  [--plot_styles PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin
  HLINES_XMIN] [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"scatter_matrix" will plots all columns against each other in a matrix, with the
diagonal plots either histogram or KDE probability distribution depending on
scatter_matrix_diagonal keyword.

Data must be organized as 'index,y1,y2,y3,...,yN'.  The 'index' is
  ignored and all data columns are plotted. The "columns" keyword can be used to
  duplicate or change the order of all the data columns.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --scatter_matrix_diagonal SCATTER_MATRIX_DIAGONAL
      [optional, defaults to "kde"]
      What to plot on the diagonal of the scatter matrix.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

target

$ plottoolbox target --help
<string>:348: (WARNING/2) Option list ends without a blank line; unexpected unindent.
<string>:350: (ERROR/3) Unexpected indentation.
<string>:357: (WARNING/2) Block quote ends without a blank line; unexpected unindent.
usage: plottoolbox target [-h] [--obs_col OBS_COL] [--sim_col SIM_COL]
  [--input_ts INPUT_TS] [--columns COLUMNS] [--start_date START_DATE]
  [--end_date END_DATE] [--clean] [--skiprows SKIPROWS] [--index_type
  INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME] [--title TITLE]
  [--figsize FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES]
  [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES]
  [--style STYLE] [--por] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES]

"target" creates a target diagram that compares three goodness of fit statistics
on one plot. The three goodness of fit statistics calculated and displayed are
bias, root mean square deviation, and centered root mean square deviation. The
data columns have to be organized as 'observed,simulated1,simulated2,simulated3-
,...etc.'

options:
  -h | --help
      show this help message and exit
  --obs_col OBS_COL
      If integer represents the column number of standard input. Can be If
      integer represents the column number of standard input. Can be a
      csv, wdm, hdf or xlsx file following format specified in 'tstoolbox
      read ...'.
  --sim_col SIM_COL
      If integer represents the column number of standard input. Can be a csv,
      wdm, hdf or xlsx file following format specified in 'tstoolbox read
      ...'.
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  Option list ends without a blank line; unexpected unindent.
  --dropna DROPNA --source_units SOURCE_UNITS
  Unexpected indentation.
    [optional, default is None, transformation]
    If unit is specified for the column as the second field of a ':' delimited
    column name, then the specified units and the 'source_units' must match
    exactly.
    Any unit string compatible with the 'pint' library can be used.
  Block quote ends without a blank line; unexpected unindent.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

taylor

$ plottoolbox taylor --help
usage: plottoolbox taylor [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--title TITLE] [--figsize FIGSIZE] [--legend LEGEND] [--legend_names
  LEGEND_NAMES] [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles
  MARKERSTYLES] [--style STYLE] [--por] [--round_index ROUND_INDEX] [--dropna
  DROPNA] [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS]
  [--plot_styles PLOT_STYLES]

"taylor" will create a taylor diagram that compares three goodness of fit
statistics on one plot. The three goodness of fit statistics calculated and
displayed are standard deviation, correlation coefficient, and centered root
mean square deviation. The data columns have to be organized as
'observed,simulated1,simulated2,simulated3,...etc.'

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

time

$ plottoolbox time --help
usage: plottoolbox time [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--subplots] [--sharex]
  [--sharey] [--colors COLORS] [--linestyles LINESTYLES] [--markerstyles
  MARKERSTYLES] [--style STYLE] [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM]
  [--ylim YLIM] [--secondary_y SECONDARY_Y] [--mark_right] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--source_units SOURCE_UNITS]
  [--target_units TARGET_UNITS] [--plot_styles PLOT_STYLES] [--hlines_y
  HLINES_Y] [--hlines_xmin HLINES_XMIN] [--hlines_xmax HLINES_XMAX]
  [--hlines_colors HLINES_COLORS] [--hlines_linestyles HLINES_LINESTYLES]
  [--vlines_x VLINES_X] [--vlines_ymin VLINES_YMIN] [--vlines_ymax
  VLINES_YMAX] [--vlines_colors VLINES_COLORS] [--vlines_linestyles
  VLINES_LINESTYLES]

"time" creates a standard time series plot.

Data must be organized as 'index,y1,y2,y3,...,yN'. The 'index' must be a
date/time and all data columns are plotted. Legend names are taken from the
column names in the first row unless over-ridden by the legend_names keyword.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --subplots
      [optional, defaults to False]
      Make separate subplots for each time series.
  --sharex
      [optional, default to True]
      In case subplots=True, share x axis.
  --sharey
      [optional, default to False]
      In case subplots=True, share y axis.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --secondary_y SECONDARY_Y
      [optional, default is False]
        • list/tuple: Give the column numbers or names to plot on secondary
        y-axis.
        • (string, string): The first string is the units of the primary axis,
        the second string is the units of the secondary axis if you want
        just unit conversion. Use any units or combination thereof from
        the "pint" library.
        • (callable, callable): Functions relating relationship between primary
        and secondary axis. First function will be given the values on
        primary axis and returns values on secondary axis. Second
        function will be do the inverse. Python API only.
        • string: One of pre-built (callable, callable) combinations. Can be one
        of "period".
  --mark_right
      [optional, default is True]
      When using a secondary_y axis, should the legend label the axis of the
      various time-series automatically.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

waterfall

$ plottoolbox waterfall --help
<string>:396: (WARNING/2) Option list ends without a blank line; unexpected unindent.
<string>:400: (ERROR/3) Unexpected indentation.
<string>:407: (WARNING/2) Block quote ends without a blank line; unexpected unindent.
usage: plottoolbox waterfall [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

Create a waterfall plot from a time series.

Data must be organized as 'index,y1,y2,y3,...,yN'. The 'index' must be a
date/time and all data columns are plotted. Legend names are taken from the
column names in the first row unless over-ridden by the legend_names keyword.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  Option list ends without a blank line; unexpected unindent.
  --dropna DROPNA --plotting_position PLOTTING_POSITION --prob_plot_sort_values
  PROB_PLOT_SORT_VALUES --source_units SOURCE_UNITS
  Unexpected indentation.
    [optional, default is None, transformation]
    If unit is specified for the column as the second field of a ':' delimited
    column name, then the specified units and the 'source_units' must match
    exactly.
    Any unit string compatible with the 'pint' library can be used.
  Block quote ends without a blank line; unexpected unindent.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

weibull_xaxis

$ plottoolbox weibull_xaxis --help
usage: plottoolbox weibull_xaxis [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"weibull_xaxis" will sort, calculate and plot data against an y axis weibull
distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --plotting_position PLOTTING_POSITION
      [optional, default is 'weibull']
      ┌────────────┬────────┬──────────────────────┬────────────────────┐
      │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
      │            │        │ -2*a)                │                    │
      ╞════════════╪════════╪══════════════════════╪════════════════════╡
      │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
      │ (default)  │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
      │            │        │                      │ sampling distribu- │
      │            │        │                      │ tion               │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
      │            │        │                      │ equal intervals    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
      │            │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ california │ NA     │ i/n                  │                    │
      ╘════════════╧════════╧══════════════════════╧════════════════════╛

      Where 'i' is the sorted rank of the y value, and 'n' is the total number
      of values to be plotted.
      The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

weibull_yaxis

$ plottoolbox weibull_yaxis --help
usage: plottoolbox weibull_yaxis [-h] [--input_ts INPUT_TS]
  [--columns COLUMNS] [--start_date START_DATE] [--end_date END_DATE] [--clean]
  [--skiprows SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename
  OFILENAME] [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize
  FIGSIZE] [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--grid]
  [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis] [--invert_yaxis]
  [--round_index ROUND_INDEX] [--dropna DROPNA] [--plotting_position
  PLOTTING_POSITION] [--prob_plot_sort_values PROB_PLOT_SORT_VALUES]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

"weibull_yaxis" will sort, calculate and plot data against an y axis weibull
distribution.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --plotting_position PLOTTING_POSITION
      [optional, default is 'weibull']
      ┌────────────┬────────┬──────────────────────┬────────────────────┐
      │ Name       │ a      │ Equation (i-a)/(n+1- │ Description        │
      │            │        │ -2*a)                │                    │
      ╞════════════╪════════╪══════════════════════╪════════════════════╡
      │ weibull    │ 0      │ i/(n+1)              │ mean of sampling   │
      │ (default)  │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ filliben   │ 0.3175 │ (i-0.3175)/(n+0.365) │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ yu         │ 0.326  │ (i-0.326)/(n+0.348)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ tukey      │ 1/3    │ (i-1/3)/(n+1/3)      │ approx. median of  │
      │            │        │                      │ sampling distribu- │
      │            │        │                      │ tion               │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ blom       │ 0.375  │ (i-0.375)/(n+0.25)   │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ cunnane    │ 2/5    │ (i-2/5)/(n+1/5)      │ subjective         │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gringorton │ 0.44   │ (1-0.44)/(n+0.12)    │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ hazen      │ 1/2    │ (i-1/2)/n            │ midpoints of n     │
      │            │        │                      │ equal intervals    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ larsen     │ 0.567  │ (i-0.567)/(n-0.134)  │                    │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ gumbel     │ 1      │ (i-1)/(n-1)          │ mode of sampling   │
      │            │        │                      │ distribution       │
      ├────────────┼────────┼──────────────────────┼────────────────────┤
      │ california │ NA     │ i/n                  │                    │
      ╘════════════╧════════╧══════════════════════╧════════════════════╛

      Where 'i' is the sorted rank of the y value, and 'n' is the total number
      of values to be plotted.
      The 'blom' plotting position is also known as the 'Sevruk and Geiger'.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --prob_plot_sort_values PROB_PLOT_SORT_VALUES
      [optional, default is 'descending']
      How to sort the values for the probability plots.
      Only used for norm_xaxis, norm_yaxis, lognorm_xaxis, lognorm_yaxis,
      weibull_xaxis, and weibull_yaxis.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.

xy

$ plottoolbox xy --help
usage: plottoolbox xy [-h] [--input_ts INPUT_TS] [--columns COLUMNS]
  [--start_date START_DATE] [--end_date END_DATE] [--clean] [--skiprows
  SKIPROWS] [--index_type INDEX_TYPE] [--names NAMES] [--ofilename OFILENAME]
  [--xtitle XTITLE] [--ytitle YTITLE] [--title TITLE] [--figsize FIGSIZE]
  [--legend LEGEND] [--legend_names LEGEND_NAMES] [--colors COLORS]
  [--linestyles LINESTYLES] [--markerstyles MARKERSTYLES] [--style STYLE]
  [--xaxis XAXIS] [--yaxis YAXIS] [--xlim XLIM] [--ylim YLIM] [--xy_match_line
  XY_MATCH_LINE] [--grid] [--drawstyle DRAWSTYLE] [--por] [--invert_xaxis]
  [--invert_yaxis] [--round_index ROUND_INDEX] [--dropna DROPNA]
  [--source_units SOURCE_UNITS] [--target_units TARGET_UNITS] [--plot_styles
  PLOT_STYLES] [--hlines_y HLINES_Y] [--hlines_xmin HLINES_XMIN]
  [--hlines_xmax HLINES_XMAX] [--hlines_colors HLINES_COLORS]
  [--hlines_linestyles HLINES_LINESTYLES] [--vlines_x VLINES_X] [--vlines_ymin
  VLINES_YMIN] [--vlines_ymax VLINES_YMAX] [--vlines_colors VLINES_COLORS]
  [--vlines_linestyles VLINES_LINESTYLES]

If the input 'x,y' dataset(s) is organized as
  'index,x1,y1,x2,y2,x3,y3,...,xN,yN' then the 'index' is ignored. If there is
  one 'x,y' dataset then it can be organized as 'index,y' where 'index' is
  used for 'x'. The "columns" keyword can be used to duplicate or change the
  order of all the data columns.

options:
  -h | --help
      show this help message and exit
  --input_ts INPUT_TS
      [optional though required if using within Python, default is '-' (stdin)]
      Whether from a file or standard input, data requires a single line header
      of column names. The default header is the first line of the input,
      but this can be changed for CSV files using the 'skiprows' option.
      Most common date formats can be used, but the closer to ISO 8601 date/time
      standard the better.
      Comma-separated values (CSV) files or tab-separated values (TSV):
      File separators will be automatically detected.
      
      Columns can be selected by name or index, where the index for
      data columns starts at 1.

      Command line examples:
        ┌─────────────────────────────────┬───────────────────────────┐
        │ Keyword Example                 │ Description               │
        ╞═════════════════════════════════╪═══════════════════════════╡
        │ --input_ts=fn.csv               │ read all columns from     │
        │                                 │ 'fn.csv'                  │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,1           │ read data columns 2 and 1 │
        │                                 │ from 'fn.csv'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.csv,2,skiprows=2  │ read data column 2 from   │
        │                                 │ 'fn.csv', skipping first  │
        │                                 │ 2 rows so header is read  │
        │                                 │ from third row            │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.xlsx,2,Sheet21    │ read all data from 2nd    │
        │                                 │ sheet all data from       │
        │                                 │ "Sheet21" of 'fn.xlsx'    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.hdf5,Table12,T2   │ read all data from table  │
        │                                 │ "Table12" then all data   │
        │                                 │ from table "T2" of        │
        │                                 │ 'fn.hdf5'                 │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts=fn.wdm,210,110       │ read DSNs 210, then 110   │
        │                                 │ from 'fn.wdm'             │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-'                  │ read all columns from     │
        │                                 │ standard input (stdin)    │
        ├─────────────────────────────────┼───────────────────────────┤
        │ --input_ts='-' --columns=4,1    │ read column 4 and 1 from  │
        │                                 │ standard input (stdin)    │
        ╘═════════════════════════════════╧═══════════════════════════╛

      If working with CSV or TSV files you can use redirection rather than use
      --input_ts=fname.csv. The following are identical:
      From a file:
        command subcmd --input_ts=fname.csv
      From standard input (since '--input_ts=-' is the default:
        command subcmd < fname.csv
      Can also combine commands by piping:
        command subcmd < filein.csv | command subcmd1 > fileout.csv
      Python library examples:
      You must use the `input_ts=...` option where `input_ts` can be
      one of a [pandas DataFrame, pandas Series, dict, tuple, list,
      StringIO, or file name].

  --columns COLUMNS
      [optional, defaults to all columns, input filter]
      Columns to select out of input. Can use column names from the first line
      header or column numbers. If using numbers, column number 1 is the
      first data column. To pick multiple columns; separate by commas with
      no spaces. As used in toolbox_utils pick command.
      This solves a big problem so that you don't have to create a data set with
      a certain column order, you can rearrange columns when data is read
      in.
  --start_date START_DATE
      [optional, defaults to first date in time-series, input filter]
      The start_date of the series in ISOdatetime format, or 'None' for
      beginning.
  --end_date END_DATE
      [optional, defaults to last date in time-series, input filter]
      The end_date of the series in ISOdatetime format, or 'None' for end.
  --clean
      [optional, default is False, input filter]
      The 'clean' command will repair a input index, removing duplicate index
      values and sorting.
  --skiprows SKIPROWS
      [optional, default is None which will infer header from first line, input
      filter]
      Line numbers to skip (0-indexed) if a list or number of lines to skip at
      the start of the file if an integer.
      If used in Python can be a callable, the callable function will be
      evaluated against the row indices, returning True if the row should
      be skipped and False otherwise. An example of a valid callable
      argument would be
      lambda x: x in [0, 2].
  --index_type INDEX_TYPE
      [optional, default is 'datetime', output format]
      Can be either 'number' or 'datetime'. Use 'number' with index values that
      are Julian dates, or other epoch reference.
  --names NAMES
      [optional, default is None, transformation]
      If None, the column names are taken from the first row after 'skiprows'
      from the input dataset.
      MUST include a name for all columns in the input dataset, including the
      index column.
  --ofilename OFILENAME
      [optional, defaults to 'plot.png']
      Output filename for the plot. Extension defines the type, for example
      'filename.png' will create a PNG file.
      If used within Python, and ofilename is None will return the Matplotlib
      figure that can then be changed or added to as needed.
  --xtitle XTITLE
      [optional, default depends on type]
      Title of x-axis.
  --ytitle YTITLE
      [optional, default depends on type]
      Title of y-axis.
  --title TITLE
      [optional, defaults to '']
      Title of chart.
  --figsize FIGSIZE
      [optional, defaults to '10,6.5']
      The 'width,height' of plot in inches.
  --legend LEGEND
      [optional, default is True]
      Whether to create a legend or not.
  --legend_names LEGEND_NAMES
      [optional, default is None]
      If the default of None will take legend names from columns tiles in the
      input dataset. Otherwise will take names from the legend_names list.
  --colors COLORS
      [optional, default is 'auto']
      The default 'auto' will cycle through matplotlib colors in the chosen
      style.
      At the command line supply a comma separated matplotlib color codes, or
      within Python a list of color code strings.
      Can identify colors in four different ways.
      1. Use 'CN' where N is a number from 0 to 9 that gets the Nth color from
      the current style.
      2. Single character code from the table below.
        ┌──────┬─────────┐
        │ Code │ Color   │
        ╞══════╪═════════╡
        │ b    │ blue    │
        ├──────┼─────────┤
        │ g    │ green   │
        ├──────┼─────────┤
        │ r    │ red     │
        ├──────┼─────────┤
        │ c    │ cyan    │
        ├──────┼─────────┤
        │ m    │ magenta │
        ├──────┼─────────┤
        │ y    │ yellow  │
        ├──────┼─────────┤
        │ k    │ black   │
        ╘══════╧═════════╛

      3. Number between 0 and 1 that represents the level of gray, where 0 is
      white an 1 is black.
      4. Any of the HTML color names.
        ┌──────────────────┐
        │ HTML Color Names │
        ╞══════════════════╡
        │ red              │
        ├──────────────────┤
        │ burlywood        │
        ├──────────────────┤
        │ chartreuse       │
        ├──────────────────┤
        │ ...etc.          │
        ╘══════════════════╛

      Color reference: <http://matplotlib.org/api/colors_api.html>
  --linestyles LINESTYLES
      [optional, default to 'auto']
      If 'auto' will iterate through the available matplotlib line types.
      Otherwise on the command line a comma separated list, or a list of
      strings if using the Python API.
      To not display lines use a space (' ') as the linestyle code.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌─────────┬──────────────┐
      │ Code    │ Lines        │
      ╞═════════╪══════════════╡
      │ -       │ solid        │
      ├─────────┼──────────────┤
      │ --      │ dashed       │
      ├─────────┼──────────────┤
      │ -.      │ dash_dot     │
      ├─────────┼──────────────┤
      │ :       │ dotted       │
      ├─────────┼──────────────┤
      │ None    │ draw nothing │
      ├─────────┼──────────────┤
      │ ' '     │ draw nothing │
      ├─────────┼──────────────┤
      │ ''      │ draw nothing │
      ╘═════════╧══════════════╛

      Line reference: <http://matplotlib.org/api/artist_api.html>
  --markerstyles MARKERSTYLES
      [optional, default to ' ']
      The default ' ' will not plot a marker. If 'auto' will iterate through the
      available matplotlib marker types. Otherwise on the command line a
      comma separated list, or a list of strings if using the Python API.
      Separated 'colors', 'linestyles', and 'markerstyles' instead of using the
      'style' keyword.
      ┌───────┬────────────────┐
      │ Code  │ Markers        │
      ╞═══════╪════════════════╡
      │ .     │ point          │
      ├───────┼────────────────┤
      │ o     │ circle         │
      ├───────┼────────────────┤
      │ v     │ triangle down  │
      ├───────┼────────────────┤
      │ ^     │ triangle up    │
      ├───────┼────────────────┤
      │ <     │ triangle left  │
      ├───────┼────────────────┤
      │ >     │ triangle right │
      ├───────┼────────────────┤
      │ 1     │ tri_down       │
      ├───────┼────────────────┤
      │ 2     │ tri_up         │
      ├───────┼────────────────┤
      │ 3     │ tri_left       │
      ├───────┼────────────────┤
      │ 4     │ tri_right      │
      ├───────┼────────────────┤
      │ 8     │ octagon        │
      ├───────┼────────────────┤
      │ s     │ square         │
      ├───────┼────────────────┤
      │ p     │ pentagon       │
      ├───────┼────────────────┤
      │ *     │ star           │
      ├───────┼────────────────┤
      │ h     │ hexagon1       │
      ├───────┼────────────────┤
      │ H     │ hexagon2       │
      ├───────┼────────────────┤
      │ +     │ plus           │
      ├───────┼────────────────┤
      │ x     │ x              │
      ├───────┼────────────────┤
      │ D     │ diamond        │
      ├───────┼────────────────┤
      │ d     │ thin diamond   │
      ├───────┼────────────────┤
      │ _     │ hline          │
      ├───────┼────────────────┤
      │ None  │ nothing        │
      ├───────┼────────────────┤
      │ ' '   │ nothing        │
      ├───────┼────────────────┤
      │ ''    │ nothing        │
      ╘═══════╧════════════════╛

      Marker reference: <http://matplotlib.org/api/markers_api.html>
  --style STYLE
      [optional, default is None]
      Still available, but if None is replaced by 'colors', 'linestyles', and
      'markerstyles' options. Currently the 'style' option will override
      the others.
      Comma separated matplotlib style strings per time-series. Just combine
      codes in 'ColorMarkerLine' order, for example 'r*--' is a red dashed
      line with star marker.
  --xaxis XAXIS
      [optional, default is 'arithmetic']
      Defines the type of the xaxis. One of 'arithmetic', 'log'.
  --yaxis YAXIS
      [optional, default is 'arithmetic']
      Defines the type of the yaxis. One of 'arithmetic', 'log'.
  --xlim XLIM
      [optional, default is based on range of x values]
      Comma separated lower and upper limits for the x-axis of the plot. For
      example, '--xlim 1,1000' would limit the plot from 1 to 1000, where
      '--xlim ,1000' would base the lower limit on the data and set the
      upper limit to 1000.
  --ylim YLIM
      [optional, default is based on range of y values]
      Comma separated lower and upper limits for the y-axis of the plot. See
      xlim for examples.
  --xy_match_line XY_MATCH_LINE
      [optional, defaults to ""]
      The style string to use to plot the xy match line.
  --grid
      [optional, default is False]
      Whether to plot grid lines on the major ticks.
  --drawstyle DRAWSTYLE
      [optional, default is 'default']
      'default' connects the points with lines. The steps variants produce
      step-plots. 'steps' is equivalent to 'steps-pre' and is maintained
      for backward-compatibility.
      ACCEPTS:
      ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post']

  --por
      [optional]
      Plot from first good value to last good value. Strips NANs from beginning
      and end.
  --invert_xaxis
      [optional, default is False]
      Invert the x-axis.
  --invert_yaxis
      [optional, default is False]
      Invert the y-axis.
  --round_index ROUND_INDEX
      [optional, default is None which will do nothing to the index, output
      format]
      Round the index to the nearest time point. Can significantly improve the
      performance since can cut down on memory and processing
      requirements, however be cautious about rounding to a very course
      interval from a small one. This could lead to duplicate values in
      the index.
  --dropna DROPNA
      [optional, defauls it 'no', input filter]
      Set dropna to 'any' to have records dropped that have NA value in any
      column, or 'all' to have records dropped that have NA in all
      columns. Set to 'no' to not drop any records. The default is 'no'.
  --source_units SOURCE_UNITS
      [optional, default is None, transformation]
      If unit is specified for the column as the second field of a ':' delimited
      column name, then the specified units and the 'source_units' must
      match exactly.
      Any unit string compatible with the 'pint' library can be used.
  --target_units TARGET_UNITS
      [optional, default is None, transformation]
      The purpose of this option is to specify target units for unit conversion.
      The source units are specified in the header line of the input or
      using the 'source_units' keyword.
      The units of the input time-series or values are specified as the second
      field of a ':' delimited name in the header line of the input or in
      the 'source_units' keyword.
      Any unit string compatible with the 'pint' library can be used.
      This option will also add the 'target_units' string to the column names.
  --plot_styles PLOT_STYLES
      [optional, default is "default"]
      Set the style of the plot. One or more of Matplotlib styles "classic",
      "Solarize_Light2", "bmh", "dark_background", "fast",
      "fivethirtyeight", "ggplot", "grayscale", "seaborn",
      "seaborn-bright", "seaborn-colorblind", "seaborn-dark",
      "seaborn-dark-palette", "seaborn-darkgrid", "seaborn-deep",
      "seaborn-muted", "seaborn-notebook", "seaborn-paper",
      "seaborn-pastel", "seaborn-poster", "seaborn-talk", "seaborn-ticks",
      "seaborn-white", "seaborn-whitegrid", "tableau-colorblind10", and
      The main SciencePlots styles are "science", "grid", "ieee", "scatter",
      "notebook", "high-vis", "bright", "vibrant", "muted", and "retro".
      Other SciencPlots styles that are less common or intended to modify other
      styles are, "cjk-jp-font.mplstyle", "cjk-kr-font.mplstyle",
      "cjk-sc-font.mplstyle", "cjk-tc-font.mplstyle",
      "high-contrast.mplstyle", "latex-sans.mplstyle", "light.mplstyle",
      "nature.mplstyle", "no-latex.mplstyle", "pgf.mplstyle",
      "russian-font.mplstyle", and "std-colors.mplstyle".
      If multiple styles then each over rides some or all of the characteristics
      of the previous.
      Color Blind Appropriate Styles
      The styles "seaborn-colorblind", "tableau-colorblind10", "bright",
      "vibrant", and "muted" are all styles that are setup to be able to
      be distinguished by someone with color blindness.
      Black, White, and Gray Styles
      The "ieee" style is appropriate for black, white, and gray, however the
      "ieee" also will change the chart size to fit in a column of the
      "IEEE" journal.
      The "grayscale" is another style useful for photo-copyable black, white,
      nd gray.
      Matplotlib styles:
        <https://matplotlib.org/3.3.1/gallery/style_sheets/style_sheets_-
        reference.html>

      SciencePlots styles:
        <https://github.com/garrettj403/SciencePlots>

  --hlines_y HLINES_Y
      [optional, defaults to None]
      Number or list of y values where to place a horizontal line.
  --hlines_xmin HLINES_XMIN
      [optional, defaults to None]
      List of minimum x values to start the horizontal line. If a list must be
      same length as hlines_y. If a single number will be used as the
      minimum x values for all horizontal lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --hlines_xmax HLINES_XMAX
      [optional, defaults to None]
      List of maximum x values to end each horizontal line. If a list must be
      same length as hlines_y. If a single number will be the maximum x
      value for all horizontal lines. A missing value or None will end at
      the maximum x value for the entire plot.
  --hlines_colors HLINES_COLORS
      [optional, defaults to None]
      List of colors for the horizontal lines. If a single color then will be
      used as the color for all horizontal lines. If a list must be same
      length as hlines_y. If None will take from the color pallette in the
      current plot style.
  --hlines_linestyles HLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the horizontal lines. If a single linestyle then
      will be used as the linestyle for all horizontal lines. If a list
      must be same length as hlines_y. If None will take for the standard
      linestyles list.
  --vlines_x VLINES_X
      [optional, defaults to None]
      List of x values where to place a vertical line.
  --vlines_ymin VLINES_YMIN
      [optional, defaults to None]
      List of minimum y values to start the vertical line. If a list must be
      same length as vlines_x. If a single number will be used as the
      minimum x values for all vertical lines. A missing value or None
      will start at the minimum x value for the entire plot.
  --vlines_ymax VLINES_YMAX
      [optional, defaults to None]
      List of maximum x values to end each vertical line. If a list must be same
      length as vlines_x. If a single number will be the maximum x value
      for all vertical lines. A missing value or None will end at the
      maximum x value for the entire plot.
  --vlines_colors VLINES_COLORS
      [optional, defaults to None]
      List of colors for the vertical lines. If a single color then will be used
      as the color for all vertical lines. If a list must be same length
      as vlines_x. If None will take from the color pallette in the
      current plot style.
  --vlines_linestyles VLINES_LINESTYLES
      [optional, defaults to None]
      List of linestyles for the vertical lines. If a single linestyle then will
      be used as the linestyle for all vertical lines. If a list must be
      same length as vlines_x. If None will take for the standard
      linestyles list.