{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# datos grillados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "<xarray.Dataset>\n",
      "Dimensions:  (lat: 72, lon: 144, time: 510)\n",
      "Coordinates:\n",
      "  * lat      (lat) float32 88.75 86.25 83.75 81.25 ... -83.75 -86.25 -88.75\n",
      "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
      "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
      "Data variables:\n",
      "    precip   (time, lat, lon) float32 ...\n",
      "Attributes:\n",
      "    Conventions:    COARDS\n",
      "    title:          CPC Merged Analysis of Precipitation (excludes NCEP Reana...\n",
      "    platform:       Analyses\n",
      "    source:         ftp ftp.cpc.ncep.noaa.gov precip/cmap/monthly\n",
      "    dataset_title:  CPC Merged Analysis of Precipitation\n",
      "    documentation:  https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html\n",
      "    date_modified:  26 Feb 2019\n",
      "    References:     https://www.psl.noaa.gov/data/gridded/data.cmap.html\n",
      "    version:        V2107\n",
      "    history:        update 07/2021 V2107\n",
      "    data_modified:  2021-07-09\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 72, lon: 144, time: 510)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.75 86.25 83.75 81.25 ... -83.75 -86.25 -88.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    COARDS\n",
       "    title:          CPC Merged Analysis of Precipitation (excludes NCEP Reana...\n",
       "    platform:       Analyses\n",
       "    source:         ftp ftp.cpc.ncep.noaa.gov precip/cmap/monthly\n",
       "    dataset_title:  CPC Merged Analysis of Precipitation\n",
       "    documentation:  https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html\n",
       "    date_modified:  26 Feb 2019\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.cmap.html\n",
       "    version:        V2107\n",
       "    history:        update 07/2021 V2107\n",
       "    data_modified:  2021-07-09</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c3649af8-c699-495a-9d85-6baf49ba47ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3649af8-c699-495a-9d85-6baf49ba47ef' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 72</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 510</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-78bb9e56-7150-4880-85ee-7b65b37d285f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-78bb9e56-7150-4880-85ee-7b65b37d285f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.75 86.25 83.75 ... -86.25 -88.75</div><input id='attrs-9da79706-01f6-44c9-ad1a-b9832876ff65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9da79706-01f6-44c9-ad1a-b9832876ff65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a487231b-87b8-433e-912a-e37e67d8ba32' class='xr-var-data-in' type='checkbox'><label for='data-a487231b-87b8-433e-912a-e37e67d8ba32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 88.75 -88.75]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 88.75,  86.25,  83.75,  81.25,  78.75,  76.25,  73.75,  71.25,  68.75,\n",
       "        66.25,  63.75,  61.25,  58.75,  56.25,  53.75,  51.25,  48.75,  46.25,\n",
       "        43.75,  41.25,  38.75,  36.25,  33.75,  31.25,  28.75,  26.25,  23.75,\n",
       "        21.25,  18.75,  16.25,  13.75,  11.25,   8.75,   6.25,   3.75,   1.25,\n",
       "        -1.25,  -3.75,  -6.25,  -8.75, -11.25, -13.75, -16.25, -18.75, -21.25,\n",
       "       -23.75, -26.25, -28.75, -31.25, -33.75, -36.25, -38.75, -41.25, -43.75,\n",
       "       -46.25, -48.75, -51.25, -53.75, -56.25, -58.75, -61.25, -63.75, -66.25,\n",
       "       -68.75, -71.25, -73.75, -76.25, -78.75, -81.25, -83.75, -86.25, -88.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.25 358.75</div><input id='attrs-000f7ac6-58a3-43b2-88e6-46571d388778' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-000f7ac6-58a3-43b2-88e6-46571d388778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb70469a-f0a2-4356-af12-baf886039210' class='xr-var-data-in' type='checkbox'><label for='data-bb70469a-f0a2-4356-af12-baf886039210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  1.25 358.75]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-06-01</div><input id='attrs-7ed75ca3-c31f-4d6c-a61b-bc92197a0f5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ed75ca3-c31f-4d6c-a61b-bc92197a0f5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6632a9f2-0f48-4b46-a25a-2a20335b01fc' class='xr-var-data-in' type='checkbox'><label for='data-6632a9f2-0f48-4b46-a25a-2a20335b01fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1940880.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-05-01T00:00:00.000000000&#x27;, &#x27;2021-06-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1033615c-5d78-451d-9003-ada8c561e70a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1033615c-5d78-451d-9003-ada8c561e70a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0f6ba91-d302-4b00-8f0a-c03ad95a356c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0f6ba91-d302-4b00-8f0a-c03ad95a356c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5889ac7-6e51-4015-b36d-d31e997869c3' class='xr-var-data-in' type='checkbox'><label for='data-f5889ac7-6e51-4015-b36d-d31e997869c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Average Monthly Rate of Precipitation</dd><dt><span>valid_range :</span></dt><dd>[ 0. 70.]</dd><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>var_desc :</span></dt><dd>Precipitation</dd><dt><span>dataset :</span></dt><dd>CPC Merged Analysis of Precipitation Standard</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Mean</dd><dt><span>actual_range :</span></dt><dd>[ 0.   59.08]</dd></dl></div><div class='xr-var-data'><pre>[5287680 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-448f72ee-5bee-416d-af1f-2cf5d9278e7e' class='xr-section-summary-in' type='checkbox'  ><label for='section-448f72ee-5bee-416d-af1f-2cf5d9278e7e' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>CPC Merged Analysis of Precipitation (excludes NCEP Reanalysis)</dd><dt><span>platform :</span></dt><dd>Analyses</dd><dt><span>source :</span></dt><dd>ftp ftp.cpc.ncep.noaa.gov precip/cmap/monthly</dd><dt><span>dataset_title :</span></dt><dd>CPC Merged Analysis of Precipitation</dd><dt><span>documentation :</span></dt><dd>https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html</dd><dt><span>date_modified :</span></dt><dd>26 Feb 2019</dd><dt><span>References :</span></dt><dd>https://www.psl.noaa.gov/data/gridded/data.cmap.html</dd><dt><span>version :</span></dt><dd>V2107</dd><dt><span>history :</span></dt><dd>update 07/2021 V2107</dd><dt><span>data_modified :</span></dt><dd>2021-07-09</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 72, lon: 144, time: 510)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.75 86.25 83.75 81.25 ... -83.75 -86.25 -88.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    COARDS\n",
       "    title:          CPC Merged Analysis of Precipitation (excludes NCEP Reana...\n",
       "    platform:       Analyses\n",
       "    source:         ftp ftp.cpc.ncep.noaa.gov precip/cmap/monthly\n",
       "    dataset_title:  CPC Merged Analysis of Precipitation\n",
       "    documentation:  https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html\n",
       "    date_modified:  26 Feb 2019\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.cmap.html\n",
       "    version:        V2107\n",
       "    history:        update 07/2021 V2107\n",
       "    data_modified:  2021-07-09"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import xarray as xr\n",
    "\n",
    "dset = xr.open_dataset(\"precip.mon.mean.nc\")\n",
    "print(dset)\n",
    "dset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (time: 510, lat: 72, lon: 144)&gt;\n",
       "[5287680 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.75 86.25 83.75 81.25 ... -83.75 -86.25 -88.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Attributes:\n",
       "    long_name:     Average Monthly Rate of Precipitation\n",
       "    valid_range:   [ 0. 70.]\n",
       "    units:         mm/day\n",
       "    precision:     2\n",
       "    var_desc:      Precipitation\n",
       "    dataset:       CPC Merged Analysis of Precipitation Standard\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Mean\n",
       "    actual_range:  [ 0.   59.08]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 510</li><li><span class='xr-has-index'>lat</span>: 72</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cdb59f15-3805-40eb-a70f-28baf8aea197' class='xr-array-in' type='checkbox' checked><label for='section-cdb59f15-3805-40eb-a70f-28baf8aea197' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[5287680 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-4e78eb16-0d1d-4402-bcab-5eda83328f1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e78eb16-0d1d-4402-bcab-5eda83328f1f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.75 86.25 83.75 ... -86.25 -88.75</div><input id='attrs-98958b52-511e-465c-9600-5fed027a083a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98958b52-511e-465c-9600-5fed027a083a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ad27aa-cadd-499e-a7e1-88b4d2097bbb' class='xr-var-data-in' type='checkbox'><label for='data-64ad27aa-cadd-499e-a7e1-88b4d2097bbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 88.75 -88.75]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 88.75,  86.25,  83.75,  81.25,  78.75,  76.25,  73.75,  71.25,  68.75,\n",
       "        66.25,  63.75,  61.25,  58.75,  56.25,  53.75,  51.25,  48.75,  46.25,\n",
       "        43.75,  41.25,  38.75,  36.25,  33.75,  31.25,  28.75,  26.25,  23.75,\n",
       "        21.25,  18.75,  16.25,  13.75,  11.25,   8.75,   6.25,   3.75,   1.25,\n",
       "        -1.25,  -3.75,  -6.25,  -8.75, -11.25, -13.75, -16.25, -18.75, -21.25,\n",
       "       -23.75, -26.25, -28.75, -31.25, -33.75, -36.25, -38.75, -41.25, -43.75,\n",
       "       -46.25, -48.75, -51.25, -53.75, -56.25, -58.75, -61.25, -63.75, -66.25,\n",
       "       -68.75, -71.25, -73.75, -76.25, -78.75, -81.25, -83.75, -86.25, -88.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.25 358.75</div><input id='attrs-c10c184c-00fa-453f-9a66-4d570fdd0c1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c10c184c-00fa-453f-9a66-4d570fdd0c1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-865ea1ba-e723-4a87-838e-7760343b50f8' class='xr-var-data-in' type='checkbox'><label for='data-865ea1ba-e723-4a87-838e-7760343b50f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  1.25 358.75]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-06-01</div><input id='attrs-cbc0977d-56ce-4edf-a30d-dc77a227d15b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbc0977d-56ce-4edf-a30d-dc77a227d15b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9f7386-9382-45ad-ab58-7986e3b129d1' class='xr-var-data-in' type='checkbox'><label for='data-4d9f7386-9382-45ad-ab58-7986e3b129d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1940880.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-05-01T00:00:00.000000000&#x27;, &#x27;2021-06-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29586efc-a6b8-468c-aece-5f5e7ab0f95a' class='xr-section-summary-in' type='checkbox'  ><label for='section-29586efc-a6b8-468c-aece-5f5e7ab0f95a' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Average Monthly Rate of Precipitation</dd><dt><span>valid_range :</span></dt><dd>[ 0. 70.]</dd><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>var_desc :</span></dt><dd>Precipitation</dd><dt><span>dataset :</span></dt><dd>CPC Merged Analysis of Precipitation Standard</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Mean</dd><dt><span>actual_range :</span></dt><dd>[ 0.   59.08]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (time: 510, lat: 72, lon: 144)>\n",
       "[5287680 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.75 86.25 83.75 81.25 ... -83.75 -86.25 -88.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Attributes:\n",
       "    long_name:     Average Monthly Rate of Precipitation\n",
       "    valid_range:   [ 0. 70.]\n",
       "    units:         mm/day\n",
       "    precision:     2\n",
       "    var_desc:      Precipitation\n",
       "    dataset:       CPC Merged Analysis of Precipitation Standard\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Mean\n",
       "    actual_range:  [ 0.   59.08]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp=dset.precip\n",
    "pp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'mm/day'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp.attrs[\"units\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x294dd113788>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first 1D plot, llamando por index\n",
    "pp1d = pp.isel(lat=10, lon=10)\n",
    "pp1d.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x294dd89ea88>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp1d[:100].plot.line(\"b-^\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x294dd91a708>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp1d[:200].plot.line(color=\"purple\", marker=\"o\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x294dd9963c8>,\n",
       " <matplotlib.lines.Line2D at 0x294dd97ddc8>,\n",
       " <matplotlib.lines.Line2D at 0x294dd9bea88>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.isel(lon=10, lat=[19, 21, 22]).plot.line(x=\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x294deb49288>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.isel(time=0).plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# seleccionamos tropicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x294ded83d88>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pptrop=pp.sel(lat=slice(30,-30))\n",
    "pptrop.sel(time=\"2010-01-01\").plot(robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-text-repr-fallback {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (time: 510, lat: 24, lon: 144)&gt;\n",
       "[1762560 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 28.75 26.25 23.75 21.25 ... -23.75 -26.25 -28.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Attributes:\n",
       "    long_name:     Average Monthly Rate of Precipitation\n",
       "    valid_range:   [ 0. 70.]\n",
       "    units:         mm/day\n",
       "    precision:     2\n",
       "    var_desc:      Precipitation\n",
       "    dataset:       CPC Merged Analysis of Precipitation Standard\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Mean\n",
       "    actual_range:  [ 0.   59.08]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 510</li><li><span class='xr-has-index'>lat</span>: 24</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-67ec7770-6a51-46fd-9069-9c58e62edfbe' class='xr-array-in' type='checkbox' checked><label for='section-67ec7770-6a51-46fd-9069-9c58e62edfbe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[1762560 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-8b4f6d8e-ddec-4a76-bf47-5a3f782d5b9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b4f6d8e-ddec-4a76-bf47-5a3f782d5b9c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>28.75 26.25 23.75 ... -26.25 -28.75</div><input id='attrs-8de2b2cc-eb6c-438c-8d5c-780aeaf86c12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8de2b2cc-eb6c-438c-8d5c-780aeaf86c12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a755a891-b7c2-460a-a7aa-d49f0040848d' class='xr-var-data-in' type='checkbox'><label for='data-a755a891-b7c2-460a-a7aa-d49f0040848d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 88.75 -88.75]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 28.75,  26.25,  23.75,  21.25,  18.75,  16.25,  13.75,  11.25,   8.75,\n",
       "         6.25,   3.75,   1.25,  -1.25,  -3.75,  -6.25,  -8.75, -11.25, -13.75,\n",
       "       -16.25, -18.75, -21.25, -23.75, -26.25, -28.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.25 358.75</div><input id='attrs-4bde427b-411c-461d-b319-b683e7412c2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bde427b-411c-461d-b319-b683e7412c2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e386237e-582c-4862-b67d-55b5f0d03cbb' class='xr-var-data-in' type='checkbox'><label for='data-e386237e-582c-4862-b67d-55b5f0d03cbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  1.25 358.75]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-06-01</div><input id='attrs-f9e04601-3bbf-48d0-8d7b-f99344abc48e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9e04601-3bbf-48d0-8d7b-f99344abc48e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d16bcea-0d6c-4734-8bb9-a0aeb23e6e5a' class='xr-var-data-in' type='checkbox'><label for='data-4d16bcea-0d6c-4734-8bb9-a0aeb23e6e5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1940880.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-05-01T00:00:00.000000000&#x27;, &#x27;2021-06-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48729b8b-e6f7-49e1-8af3-9581001ae982' class='xr-section-summary-in' type='checkbox'  ><label for='section-48729b8b-e6f7-49e1-8af3-9581001ae982' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Average Monthly Rate of Precipitation</dd><dt><span>valid_range :</span></dt><dd>[ 0. 70.]</dd><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>var_desc :</span></dt><dd>Precipitation</dd><dt><span>dataset :</span></dt><dd>CPC Merged Analysis of Precipitation Standard</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Mean</dd><dt><span>actual_range :</span></dt><dd>[ 0.   59.08]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (time: 510, lat: 24, lon: 144)>\n",
       "[1762560 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 28.75 26.25 23.75 21.25 ... -23.75 -26.25 -28.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-06-01\n",
       "Attributes:\n",
       "    long_name:     Average Monthly Rate of Precipitation\n",
       "    valid_range:   [ 0. 70.]\n",
       "    units:         mm/day\n",
       "    precision:     2\n",
       "    var_desc:      Precipitation\n",
       "    dataset:       CPC Merged Analysis of Precipitation Standard\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Mean\n",
       "    actual_range:  [ 0.   59.08]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pptrop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# climatologia de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# seleccionamos 1981-2010\n",
    "pp_clim=pptrop.sel(time=slice(\"1981-01-01\",\"2010-12-01\")).groupby(\"time.month\").mean(dim=\"time\",skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (month: 12, lat: 24, lon: 144)&gt;\n",
       "array([[[0.134     , 0.141     , 0.13366666, ..., 0.30933335,\n",
       "         0.16999999, 0.10200001],\n",
       "        [0.12966666, 0.11999999, 0.072     , ..., 0.15366666,\n",
       "         0.10366666, 0.09966666],\n",
       "        [0.05566666, 0.04      , 0.06866667, ..., 0.08266667,\n",
       "         0.054     , 0.062     ],\n",
       "        ...,\n",
       "        [0.05      , 0.038     , 0.03433333, ..., 0.08433334,\n",
       "         0.10066665, 0.10466666],\n",
       "        [0.09699999, 0.05066666, 0.04566667, ..., 0.303     ,\n",
       "         0.24166666, 0.118     ],\n",
       "        [0.15200001, 0.076     , 0.06933333, ..., 0.316     ,\n",
       "         0.22566666, 0.15433332]],\n",
       "\n",
       "       [[0.13933332, 0.10433331, 0.10199999, ..., 0.39366663,\n",
       "         0.24499999, 0.15366665],\n",
       "        [0.209     , 0.13766666, 0.08966666, ..., 0.25633332,\n",
       "         0.23466669, 0.16933332],\n",
       "        [0.11499999, 0.07466666, 0.07133332, ..., 0.11666665,\n",
       "         0.12366666, 0.12166665],\n",
       "...\n",
       "        [0.10266665, 0.10566666, 0.08733333, ..., 0.27666664,\n",
       "         0.20733333, 0.15699999],\n",
       "        [0.17433336, 0.14566666, 0.11566666, ..., 0.30900002,\n",
       "         0.32166666, 0.23266667],\n",
       "        [0.35      , 0.31366664, 0.21433333, ..., 0.5083333 ,\n",
       "         0.3730001 , 0.23299998]],\n",
       "\n",
       "       [[0.11533331, 0.14033334, 0.10633332, ..., 0.36666664,\n",
       "         0.20333333, 0.16466671],\n",
       "        [0.13599999, 0.10399999, 0.10333333, ..., 0.188     ,\n",
       "         0.12266666, 0.11999998],\n",
       "        [0.07733332, 0.068     , 0.06499999, ..., 0.09966667,\n",
       "         0.08933332, 0.09966665],\n",
       "        ...,\n",
       "        [0.06366666, 0.04233333, 0.08499997, ..., 0.14133334,\n",
       "         0.08899998, 0.06833334],\n",
       "        [0.10066663, 0.06133332, 0.06966665, ..., 0.22666664,\n",
       "         0.13566664, 0.11466663],\n",
       "        [0.16599996, 0.19166665, 0.10766665, ..., 0.43233335,\n",
       "         0.261     , 0.22766666]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 28.75 26.25 23.75 21.25 ... -23.75 -26.25 -28.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 24</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f9e2f2c2-7672-4da5-8b07-eb65c6c03d29' class='xr-array-in' type='checkbox' checked><label for='section-f9e2f2c2-7672-4da5-8b07-eb65c6c03d29' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.134 0.141 0.13366666 0.15499999 ... 0.43233335 0.261 0.22766666</span></div><div class='xr-array-data'><pre>array([[[0.134     , 0.141     , 0.13366666, ..., 0.30933335,\n",
       "         0.16999999, 0.10200001],\n",
       "        [0.12966666, 0.11999999, 0.072     , ..., 0.15366666,\n",
       "         0.10366666, 0.09966666],\n",
       "        [0.05566666, 0.04      , 0.06866667, ..., 0.08266667,\n",
       "         0.054     , 0.062     ],\n",
       "        ...,\n",
       "        [0.05      , 0.038     , 0.03433333, ..., 0.08433334,\n",
       "         0.10066665, 0.10466666],\n",
       "        [0.09699999, 0.05066666, 0.04566667, ..., 0.303     ,\n",
       "         0.24166666, 0.118     ],\n",
       "        [0.15200001, 0.076     , 0.06933333, ..., 0.316     ,\n",
       "         0.22566666, 0.15433332]],\n",
       "\n",
       "       [[0.13933332, 0.10433331, 0.10199999, ..., 0.39366663,\n",
       "         0.24499999, 0.15366665],\n",
       "        [0.209     , 0.13766666, 0.08966666, ..., 0.25633332,\n",
       "         0.23466669, 0.16933332],\n",
       "        [0.11499999, 0.07466666, 0.07133332, ..., 0.11666665,\n",
       "         0.12366666, 0.12166665],\n",
       "...\n",
       "        [0.10266665, 0.10566666, 0.08733333, ..., 0.27666664,\n",
       "         0.20733333, 0.15699999],\n",
       "        [0.17433336, 0.14566666, 0.11566666, ..., 0.30900002,\n",
       "         0.32166666, 0.23266667],\n",
       "        [0.35      , 0.31366664, 0.21433333, ..., 0.5083333 ,\n",
       "         0.3730001 , 0.23299998]],\n",
       "\n",
       "       [[0.11533331, 0.14033334, 0.10633332, ..., 0.36666664,\n",
       "         0.20333333, 0.16466671],\n",
       "        [0.13599999, 0.10399999, 0.10333333, ..., 0.188     ,\n",
       "         0.12266666, 0.11999998],\n",
       "        [0.07733332, 0.068     , 0.06499999, ..., 0.09966667,\n",
       "         0.08933332, 0.09966665],\n",
       "        ...,\n",
       "        [0.06366666, 0.04233333, 0.08499997, ..., 0.14133334,\n",
       "         0.08899998, 0.06833334],\n",
       "        [0.10066663, 0.06133332, 0.06966665, ..., 0.22666664,\n",
       "         0.13566664, 0.11466663],\n",
       "        [0.16599996, 0.19166665, 0.10766665, ..., 0.43233335,\n",
       "         0.261     , 0.22766666]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d276b3d2-19cc-406d-a8fd-bf7e4ac60ce3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d276b3d2-19cc-406d-a8fd-bf7e4ac60ce3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>28.75 26.25 23.75 ... -26.25 -28.75</div><input id='attrs-4c49ca9a-7e86-4765-aa2d-990f370eb074' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c49ca9a-7e86-4765-aa2d-990f370eb074' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e38c6f-ea6d-4c00-984f-7e8ad2ecdb7a' class='xr-var-data-in' type='checkbox'><label for='data-68e38c6f-ea6d-4c00-984f-7e8ad2ecdb7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 88.75 -88.75]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 28.75,  26.25,  23.75,  21.25,  18.75,  16.25,  13.75,  11.25,   8.75,\n",
       "         6.25,   3.75,   1.25,  -1.25,  -3.75,  -6.25,  -8.75, -11.25, -13.75,\n",
       "       -16.25, -18.75, -21.25, -23.75, -26.25, -28.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.25 358.75</div><input id='attrs-108fd11a-1014-47ce-9d3a-b6cce217fd0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-108fd11a-1014-47ce-9d3a-b6cce217fd0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc854902-0df7-4bad-bdcd-87e68353d8ce' class='xr-var-data-in' type='checkbox'><label for='data-cc854902-0df7-4bad-bdcd-87e68353d8ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  1.25 358.75]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-13c38125-a528-4ace-960d-514430fdab25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13c38125-a528-4ace-960d-514430fdab25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6ef051d-5506-4af3-b788-08b4d311b5f5' class='xr-var-data-in' type='checkbox'><label for='data-c6ef051d-5506-4af3-b788-08b4d311b5f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6841d3e8-5eec-46ba-a819-bb17aa0388ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6841d3e8-5eec-46ba-a819-bb17aa0388ee' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (month: 12, lat: 24, lon: 144)>\n",
       "array([[[0.134     , 0.141     , 0.13366666, ..., 0.30933335,\n",
       "         0.16999999, 0.10200001],\n",
       "        [0.12966666, 0.11999999, 0.072     , ..., 0.15366666,\n",
       "         0.10366666, 0.09966666],\n",
       "        [0.05566666, 0.04      , 0.06866667, ..., 0.08266667,\n",
       "         0.054     , 0.062     ],\n",
       "        ...,\n",
       "        [0.05      , 0.038     , 0.03433333, ..., 0.08433334,\n",
       "         0.10066665, 0.10466666],\n",
       "        [0.09699999, 0.05066666, 0.04566667, ..., 0.303     ,\n",
       "         0.24166666, 0.118     ],\n",
       "        [0.15200001, 0.076     , 0.06933333, ..., 0.316     ,\n",
       "         0.22566666, 0.15433332]],\n",
       "\n",
       "       [[0.13933332, 0.10433331, 0.10199999, ..., 0.39366663,\n",
       "         0.24499999, 0.15366665],\n",
       "        [0.209     , 0.13766666, 0.08966666, ..., 0.25633332,\n",
       "         0.23466669, 0.16933332],\n",
       "        [0.11499999, 0.07466666, 0.07133332, ..., 0.11666665,\n",
       "         0.12366666, 0.12166665],\n",
       "...\n",
       "        [0.10266665, 0.10566666, 0.08733333, ..., 0.27666664,\n",
       "         0.20733333, 0.15699999],\n",
       "        [0.17433336, 0.14566666, 0.11566666, ..., 0.30900002,\n",
       "         0.32166666, 0.23266667],\n",
       "        [0.35      , 0.31366664, 0.21433333, ..., 0.5083333 ,\n",
       "         0.3730001 , 0.23299998]],\n",
       "\n",
       "       [[0.11533331, 0.14033334, 0.10633332, ..., 0.36666664,\n",
       "         0.20333333, 0.16466671],\n",
       "        [0.13599999, 0.10399999, 0.10333333, ..., 0.188     ,\n",
       "         0.12266666, 0.11999998],\n",
       "        [0.07733332, 0.068     , 0.06499999, ..., 0.09966667,\n",
       "         0.08933332, 0.09966665],\n",
       "        ...,\n",
       "        [0.06366666, 0.04233333, 0.08499997, ..., 0.14133334,\n",
       "         0.08899998, 0.06833334],\n",
       "        [0.10066663, 0.06133332, 0.06966665, ..., 0.22666664,\n",
       "         0.13566664, 0.11466663],\n",
       "        [0.16599996, 0.19166665, 0.10766665, ..., 0.43233335,\n",
       "         0.261     , 0.22766666]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 28.75 26.25 23.75 21.25 ... -23.75 -26.25 -28.75\n",
       "  * lon      (lon) float32 1.25 3.75 6.25 8.75 ... 351.25 353.75 356.25 358.75\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pp_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Enero Clim, 1981-2010')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp_clim.sel(month=1).plot(robust=True)\n",
    "plt.title(\"Enero Clim, 1981-2010\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x294def116c8>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(pp_clim.sel(month=1)-pp_clim.sel(month=7)).plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# anomalia pp 1983 & 1999 Sudamerica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp_suda=pp.sel(lat=slice(10, -60),lon=slice(250, 350))\n",
    "\n",
    "#climatologia\n",
    "pp_suda_c=pp_suda.sel(time=slice('1981-01-01', '2010-12-01')).groupby('time.month').mean(dim='time',skipna=True)\n",
    "\n",
    "#anomalia en enero 1983\n",
    "(pp_suda.sel(time=\"1983-01-01\")-pp_suda_c.sel(month=1)).plot(robust=True,cbar_kwargs={\"label\": \"mm/day\"})\n",
    "plt.title('Anomalia Enero 1983')\n",
    "plt.savefig(\"pp_1983_anom.png\",dpi=300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Anomalia Enero 1999')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SUBSET SUDAMERICA\n",
    "pp_suda=pp.sel(lat=slice(10, -60),lon=slice(250, 350))\n",
    "\n",
    "#climatologia\n",
    "pp_suda_c=pp_suda.sel(time=slice('1981-01-01', '2010-12-01')).groupby('time.month').mean(dim='time',skipna=True)\n",
    "\n",
    "#anomalia en enero 1999\n",
    "(pp_suda.sel(time=\"1999-01-01\")-pp_suda_c.sel(month=1)).plot(robust=True,cbar_kwargs={\"label\": \"mm/day\"})\n",
    "plt.title('Anomalia Enero 1999')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Anomalia estandarizada 1983"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "pp_suda=pp.sel(lat=slice(10, -60),lon=slice(250, 350))\n",
    "\n",
    "#climatologia\n",
    "pp_suda_c=pp_suda.sel(time=slice('1981-01-01', '2010-12-01')).groupby('time.month').mean(dim='time',skipna=True)\n",
    "\n",
    "#desviacion estandar\n",
    "pp_suda_std_c=pp_suda.sel(time=slice('1981-01-01', '2010-12-01')).groupby('time.month').std(dim='time',skipna=True)\n",
    "\n",
    "##anomalia estandrixada en enero 1983\n",
    "anom83=pp_suda.sel(time=\"1983-01-01\")-pp_suda_c.sel(month=1)\n",
    "anom83std=anom83/pp_suda_std_c.sel(month=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anom83std.plot(robust=True)\n",
    "plt.savefig(\"pp_1983_anom_1.png\",dpi=300)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# mapas con cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "from matplotlib import colorbar, colors\n",
    "import cartopy.feature as cf\n",
    "\n",
    "# Draw coastlines of the Earth\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.add_feature(cf.BORDERS)\n",
    "#ax.coastlines() \n",
    "ax.add_feature(cf.COASTLINE)\n",
    "\n",
    "#adding ejes\n",
    "xticks=([-120,-100,-80,-60,-40,-20,0])\n",
    "yticks=([-75,-60,-45,-30,-15,0,15])\n",
    "ax.set_xticks(xticks, crs=ccrs.PlateCarree())\n",
    "ax.set_yticks(yticks, crs=ccrs.PlateCarree())\n",
    "lon_formatter = LongitudeFormatter(zero_direction_label=True,number_format='.1f')\n",
    "lat_formatter = LatitudeFormatter(number_format='.1f')\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "#adding grillas\n",
    "\n",
    "ax.gridlines(draw_labels=False, xlocs=xticks, ylocs=yticks)\n",
    "\n",
    "#plot data\n",
    "levels=[-2.5,-2,-1,0,1,2,3]\n",
    "clrs=[\"red\",\"brown\",\"peru\",\"beige\",\"skyblue\",\"dodgerblue\",\"purple\",\"pink\" ]\n",
    "#anom83std.plot(levels=levels,colors=clrs,cbar_kwargs={\"label\": \"anom. est. de pp (mm/day)\"})\n",
    "anom83std.plot.contourf(levels=levels,colors=clrs,cbar_kwargs={\"label\": \"anom. est. de pp (mm/day)\"})\n",
    "plt.title('Anomalia Estandarizada de PP Enero 1983')\n",
    "plt.xlabel('longitud')\n",
    "plt.ylabel('latitud')\n",
    "\n",
    "# tamaño correcto de barra\n",
    "ax.set_aspect('auto', adjustable=None)\n",
    "#plt.show()\n",
    "#guarda figura\n",
    "plt.savefig(\"pp_1983_anom_std_2.png\",dpi=300)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TAREA: EJERCICIO PARA FEB 1999 (anom estadrizada y sin estandarizar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}