tsgettoolbox.tsgettoolbox.cpc

tsgettoolbox.tsgettoolbox.cpc(state=None, climate_division=None, start_date=None, end_date=None)

US:region::W:Climate Prediction Center, Weekly Drought Index

Climate Prediction Center:

www.cpc.ncep.noaa.gov

Weekly Drought Index:

www.cpc.ncep.noaa.gov/products/analysis_monitoring/cdus/palmer_drought

The climate_division integer value identifies a portion of the desired state divided along county boundaries. Maps of the climate divisions within each state are at:

www.cpc.ncep.noaa.gov/products/analysis_monitoring/regional_monitoring/CLIM_DIVS/states_counties_climate-divisions.shtml

The only way to get a time-series is to specify both state and climate_division keywords.

Command Line

tsgettoolbox cpc --state=FL --climate_division=1 --start_date 2017-01-01

Python API

df = tsgettoolbox.cpc(state="FL",
                      climate_division=1,
                      start_date="2017-01-01",
                      end_date="2017-02-01")

Parameters:

• state (None or str) –

  [optional]

  If specified, results will be limited to the state corresponding to the given 2-character state code.

• climate_division (None or int) –

  [optional]

  If specified, results will be limited to the climate division.

• start_date (str) –

  [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 (str) –

  [optional, defaults to last date in time-series, input filter]

  The end_date of the series in ISOdatetime format, or ‘None’ for end.