{
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   "source": [
    "# Filling\n",
    "## Fill forward"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import tstoolbox.tstoolbox as ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dr = pd.date_range(periods=16, start=\"2010-01-01\", freq=\"H\")\n",
    "df = pd.DataFrame([1.1, 2.3, 2.1] + 10 * [None] + [5.4, 6.5, 7.2], dr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "      <th>2010-01-01 00:00:00</th>\n",
       "      <td>1.1</td>\n",
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       "      <th>2010-01-01 01:00:00</th>\n",
       "      <td>2.3</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2010-01-01 06:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-01-01 07:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-01-01 08:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 09:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 10:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-01-01 11:00:00</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <th>2010-01-01 12:00:00</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>2010-01-01 13:00:00</th>\n",
       "      <td>5.4</td>\n",
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       "      <th>2010-01-01 14:00:00</th>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 15:00:00</th>\n",
       "      <td>7.2</td>\n",
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       "</table>\n",
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      "text/plain": [
       "                       0\n",
       "2010-01-01 00:00:00  1.1\n",
       "2010-01-01 01:00:00  2.3\n",
       "2010-01-01 02:00:00  2.1\n",
       "2010-01-01 03:00:00  NaN\n",
       "2010-01-01 04:00:00  NaN\n",
       "2010-01-01 05:00:00  NaN\n",
       "2010-01-01 06:00:00  NaN\n",
       "2010-01-01 07:00:00  NaN\n",
       "2010-01-01 08:00:00  NaN\n",
       "2010-01-01 09:00:00  NaN\n",
       "2010-01-01 10:00:00  NaN\n",
       "2010-01-01 11:00:00  NaN\n",
       "2010-01-01 12:00:00  NaN\n",
       "2010-01-01 13:00:00  5.4\n",
       "2010-01-01 14:00:00  6.5\n",
       "2010-01-01 15:00:00  7.2"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts.plot(input_ts=df, ofilename=\"base.png\", style=\"r-*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](base.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Datetime</th>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 00:00:00</th>\n",
       "      <td>1.1</td>\n",
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       "      <th>2010-01-01 01:00:00</th>\n",
       "      <td>2.3</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 02:00:00</th>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 03:00:00</th>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 04:00:00</th>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 05:00:00</th>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 06:00:00</th>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>2010-01-01 07:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 08:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 09:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 10:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 11:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 12:00:00</th>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 13:00:00</th>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 14:00:00</th>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 15:00:00</th>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     0_fill\n",
       "Datetime                   \n",
       "2010-01-01 00:00:00     1.1\n",
       "2010-01-01 01:00:00     2.3\n",
       "2010-01-01 02:00:00     2.1\n",
       "2010-01-01 03:00:00     2.1\n",
       "2010-01-01 04:00:00     2.1\n",
       "2010-01-01 05:00:00     2.1\n",
       "2010-01-01 06:00:00     2.1\n",
       "2010-01-01 07:00:00     2.1\n",
       "2010-01-01 08:00:00     2.1\n",
       "2010-01-01 09:00:00     2.1\n",
       "2010-01-01 10:00:00     2.1\n",
       "2010-01-01 11:00:00     2.1\n",
       "2010-01-01 12:00:00     2.1\n",
       "2010-01-01 13:00:00     5.4\n",
       "2010-01-01 14:00:00     6.5\n",
       "2010-01-01 15:00:00     7.2"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ndf = ts.fill(input_ts=df)\n",
    "ndf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts.plot(input_ts=ndf, ofilename=\"ffill.png\", style=\"r-*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](ffill.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
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   },
   "outputs": [],
   "source": [
    "ndf = ts.fill(input_ts=df, method=\"bfill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts.plot(input_ts=ndf, ofilename=\"bfill.png\", style=\"r-*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](bfill.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
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