IRI_bonus.ipynb

{
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  {
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   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: Qt5Agg\n"
     ]
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "%matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xr.open_dataset(\"C:/Users/dmres/OneDrive/Desktop/Interview/baja-fixed.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "</style><div class='xr-wrap'><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-7c79c386-d02a-41a3-bc5e-625103567ad4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c79c386-d02a-41a3-bc5e-625103567ad4' 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'>T</span>: 3926</li><li><span class='xr-has-index'>X</span>: 74</li><li><span class='xr-has-index'>Y</span>: 67</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f74d3cd-4c7e-4f59-8916-7cff8b9b5685' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f74d3cd-4c7e-4f59-8916-7cff8b9b5685' 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'>T</span></div><div class='xr-var-dims'>(T)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01T12:00:00 ... 2020-09-30T12:00:00</div><input id='attrs-9921819d-3c64-48b0-bb5d-490f1154eddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9921819d-3c64-48b0-bb5d-490f1154eddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-493cae1c-e323-4d76-a3eb-fe4b5486821d' class='xr-var-data-in' type='checkbox'><label for='data-493cae1c-e323-4d76-a3eb-fe4b5486821d' 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>standard_name :</span></dt><dd> time</dd></dl></div><pre class='xr-var-data'>array([&#x27;2010-01-01T12:00:00.000000000&#x27;, &#x27;2010-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-01-03T12:00:00.000000000&#x27;, ..., &#x27;2020-09-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-29T12:00:00.000000000&#x27;, &#x27;2020-09-30T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>X</span></div><div class='xr-var-dims'>(X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-121.625 -121.375 ... -103.375</div><input id='attrs-1c2504fe-b4c2-4e0f-9538-82b726966168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c2504fe-b4c2-4e0f-9538-82b726966168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8e8c89c-4eb3-4264-8d22-bca618d59a71' class='xr-var-data-in' type='checkbox'><label for='data-f8e8c89c-4eb3-4264-8d22-bca618d59a71' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><pre class='xr-var-data'>array([-121.625, -121.375, -121.125, -120.875, -120.625, -120.375, -120.125,\n",
       "       -119.875, -119.625, -119.375, -119.125, -118.875, -118.625, -118.375,\n",
       "       -118.125, -117.875, -117.625, -117.375, -117.125, -116.875, -116.625,\n",
       "       -116.375, -116.125, -115.875, -115.625, -115.375, -115.125, -114.875,\n",
       "       -114.625, -114.375, -114.125, -113.875, -113.625, -113.375, -113.125,\n",
       "       -112.875, -112.625, -112.375, -112.125, -111.875, -111.625, -111.375,\n",
       "       -111.125, -110.875, -110.625, -110.375, -110.125, -109.875, -109.625,\n",
       "       -109.375, -109.125, -108.875, -108.625, -108.375, -108.125, -107.875,\n",
       "       -107.625, -107.375, -107.125, -106.875, -106.625, -106.375, -106.125,\n",
       "       -105.875, -105.625, -105.375, -105.125, -104.875, -104.625, -104.375,\n",
       "       -104.125, -103.875, -103.625, -103.375], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y</span></div><div class='xr-var-dims'>(Y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>19.125 19.375 ... 35.375 35.625</div><input id='attrs-4713284f-63b5-481b-9c8d-9f18709f0532' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4713284f-63b5-481b-9c8d-9f18709f0532' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5948a024-658d-4aad-8f78-02f04cb0981f' class='xr-var-data-in' type='checkbox'><label for='data-5948a024-658d-4aad-8f78-02f04cb0981f' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><pre class='xr-var-data'>array([19.125, 19.375, 19.625, 19.875, 20.125, 20.375, 20.625, 20.875, 21.125,\n",
       "       21.375, 21.625, 21.875, 22.125, 22.375, 22.625, 22.875, 23.125, 23.375,\n",
       "       23.625, 23.875, 24.125, 24.375, 24.625, 24.875, 25.125, 25.375, 25.625,\n",
       "       25.875, 26.125, 26.375, 26.625, 26.875, 27.125, 27.375, 27.625, 27.875,\n",
       "       28.125, 28.375, 28.625, 28.875, 29.125, 29.375, 29.625, 29.875, 30.125,\n",
       "       30.375, 30.625, 30.875, 31.125, 31.375, 31.625, 31.875, 32.125, 32.375,\n",
       "       32.625, 32.875, 33.125, 33.375, 33.625, 33.875, 34.125, 34.375, 34.625,\n",
       "       34.875, 35.125, 35.375, 35.625], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-6b619a6d-74c1-45ce-b06a-0506e95f37e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b619a6d-74c1-45ce-b06a-0506e95f37e1' 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>prcp</span></div><div class='xr-var-dims'>(T, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4839003f-d247-466f-8c71-3628a1a5a43c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4839003f-d247-466f-8c71-3628a1a5a43c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ea7bc0-87d1-4b0b-9add-791d9732a255' class='xr-var-data-in' type='checkbox'><label for='data-34ea7bc0-87d1-4b0b-9add-791d9732a255' 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>pointwidth :</span></dt><dd>1.0</dd><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>standard_name :</span></dt><dd>lwe_precipitation_rate</dd><dt><span>long_name :</span></dt><dd>precipitation</dd><dt><span>expires :</span></dt><dd>1604188800</dd><dt><span>colorscalename :</span></dt><dd>prcp_dailyrate_max100_smooth</dd><dt><span>scale_max :</span></dt><dd>100.0</dd><dt><span>ncolor :</span></dt><dd>254</dd><dt><span>CS :</span></dt><dd>0.0</dd><dt><span>CE :</span></dt><dd>100.0</dd><dt><span>maxncolor :</span></dt><dd>254</dd><dt><span>colormap :</span></dt><dd>[13882323 16777215 16777215 [16777184 6] [15453831 6] [16748574 14] [13434880 18] [4026644 24] [7451452 21] [9419919 43] [9234160 44] [6333684 41] [2237106 43] 2237106]</dd><dt><span>scale_min :</span></dt><dd>0.0</dd></dl></div><pre class='xr-var-data'>[19465108 values with dtype=float32]</pre></li></ul></div></li><li class='xr-section-item'><input id='section-fca6522b-1d0b-44b3-bec6-9e214d4914bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fca6522b-1d0b-44b3-bec6-9e214d4914bc' 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.Dataset>\n",
       "Dimensions:  (T: 3926, X: 74, Y: 67)\n",
       "Coordinates:\n",
       "  * T        (T) datetime64[ns] 2010-01-01T12:00:00 ... 2020-09-30T12:00:00\n",
       "  * X        (X) float32 -121.625 -121.375 -121.125 ... -103.625 -103.375\n",
       "  * Y        (Y) float32 19.125 19.375 19.625 19.875 ... 35.125 35.375 35.625\n",
       "Data variables:\n",
       "    prcp     (T, Y, X) float32 ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dmres\\Anaconda3\\lib\\site-packages\\xarray\\core\\nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1efbeff9348>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#play around with a single month\n",
    "ds.sel(T=\"2010-1\")\n",
    "timestep1_mean = ds.sel(T=\"2010-1\").mean(dim=\"T\")\n",
    "\n",
    "#convert to array so it can be quickly plotted\n",
    "timestep1_array = timestep1_mean.to_array()\n",
    "timestep1_array.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
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       "</style><div class='xr-wrap'><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-386729a5-2336-44f0-aed4-0b9aa0f778db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-386729a5-2336-44f0-aed4-0b9aa0f778db' 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'>T</span>: 129</li><li><span class='xr-has-index'>X</span>: 74</li><li><span class='xr-has-index'>Y</span>: 67</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d01adbd3-9e8f-42db-8395-ee035d8d221e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d01adbd3-9e8f-42db-8395-ee035d8d221e' 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'>T</span></div><div class='xr-var-dims'>(T)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-09-01</div><input id='attrs-a00e1824-4d13-48e0-b744-24aa3796617d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a00e1824-4d13-48e0-b744-24aa3796617d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340a3c07-6046-4836-a5c4-a09d1695a9da' class='xr-var-data-in' type='checkbox'><label for='data-340a3c07-6046-4836-a5c4-a09d1695a9da' 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><pre class='xr-var-data'>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2011-11-01T00:00:00.000000000&#x27;, &#x27;2011-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2012-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-03-01T00:00:00.000000000&#x27;, &#x27;2012-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-05-01T00:00:00.000000000&#x27;, &#x27;2012-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-07-01T00:00:00.000000000&#x27;, &#x27;2012-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-09-01T00:00:00.000000000&#x27;, &#x27;2012-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-01T00:00:00.000000000&#x27;, &#x27;2012-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-03-01T00:00:00.000000000&#x27;, &#x27;2013-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-07-01T00:00:00.000000000&#x27;, &#x27;2013-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-09-01T00:00:00.000000000&#x27;, &#x27;2013-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-11-01T00:00:00.000000000&#x27;, &#x27;2013-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2014-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-03-01T00:00:00.000000000&#x27;, &#x27;2014-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-07-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-09-01T00:00:00.000000000&#x27;, &#x27;2014-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-11-01T00:00:00.000000000&#x27;, &#x27;2014-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-03-01T00:00:00.000000000&#x27;, &#x27;2015-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-05-01T00:00:00.000000000&#x27;, &#x27;2015-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2016-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-03-01T00:00:00.000000000&#x27;, &#x27;2016-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-05-01T00:00:00.000000000&#x27;, &#x27;2016-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-07-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-09-01T00:00:00.000000000&#x27;, &#x27;2016-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-11-01T00:00:00.000000000&#x27;, &#x27;2016-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2017-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-03-01T00:00:00.000000000&#x27;, &#x27;2017-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-05-01T00:00:00.000000000&#x27;, &#x27;2017-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-07-01T00:00:00.000000000&#x27;, &#x27;2017-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-01T00:00:00.000000000&#x27;, &#x27;2018-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-01T00:00:00.000000000&#x27;, &#x27;2018-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-05-01T00:00:00.000000000&#x27;, &#x27;2018-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-07-01T00:00:00.000000000&#x27;, &#x27;2018-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-01T00:00:00.000000000&#x27;, &#x27;2018-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-11-01T00:00:00.000000000&#x27;, &#x27;2018-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T00:00:00.000000000&#x27;, &#x27;2019-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-01T00:00:00.000000000&#x27;, &#x27;2019-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-01T00:00:00.000000000&#x27;, &#x27;2019-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-01T00:00:00.000000000&#x27;, &#x27;2019-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-01T00:00:00.000000000&#x27;, &#x27;2019-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>X</span></div><div class='xr-var-dims'>(X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-121.625 -121.375 ... -103.375</div><input id='attrs-a23acb67-879b-4f5d-9fb0-d2373e2b5cf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a23acb67-879b-4f5d-9fb0-d2373e2b5cf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5a33a24-0c47-4e8d-97f3-5f63d4f9ad70' class='xr-var-data-in' type='checkbox'><label for='data-c5a33a24-0c47-4e8d-97f3-5f63d4f9ad70' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><pre class='xr-var-data'>array([-121.625, -121.375, -121.125, -120.875, -120.625, -120.375, -120.125,\n",
       "       -119.875, -119.625, -119.375, -119.125, -118.875, -118.625, -118.375,\n",
       "       -118.125, -117.875, -117.625, -117.375, -117.125, -116.875, -116.625,\n",
       "       -116.375, -116.125, -115.875, -115.625, -115.375, -115.125, -114.875,\n",
       "       -114.625, -114.375, -114.125, -113.875, -113.625, -113.375, -113.125,\n",
       "       -112.875, -112.625, -112.375, -112.125, -111.875, -111.625, -111.375,\n",
       "       -111.125, -110.875, -110.625, -110.375, -110.125, -109.875, -109.625,\n",
       "       -109.375, -109.125, -108.875, -108.625, -108.375, -108.125, -107.875,\n",
       "       -107.625, -107.375, -107.125, -106.875, -106.625, -106.375, -106.125,\n",
       "       -105.875, -105.625, -105.375, -105.125, -104.875, -104.625, -104.375,\n",
       "       -104.125, -103.875, -103.625, -103.375], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y</span></div><div class='xr-var-dims'>(Y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>19.125 19.375 ... 35.375 35.625</div><input id='attrs-00d25a5a-6d1d-4ecf-aa25-e07beec2c154' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00d25a5a-6d1d-4ecf-aa25-e07beec2c154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07dddc09-d157-45ed-979c-8e7a8e909127' class='xr-var-data-in' type='checkbox'><label for='data-07dddc09-d157-45ed-979c-8e7a8e909127' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><pre class='xr-var-data'>array([19.125, 19.375, 19.625, 19.875, 20.125, 20.375, 20.625, 20.875, 21.125,\n",
       "       21.375, 21.625, 21.875, 22.125, 22.375, 22.625, 22.875, 23.125, 23.375,\n",
       "       23.625, 23.875, 24.125, 24.375, 24.625, 24.875, 25.125, 25.375, 25.625,\n",
       "       25.875, 26.125, 26.375, 26.625, 26.875, 27.125, 27.375, 27.625, 27.875,\n",
       "       28.125, 28.375, 28.625, 28.875, 29.125, 29.375, 29.625, 29.875, 30.125,\n",
       "       30.375, 30.625, 30.875, 31.125, 31.375, 31.625, 31.875, 32.125, 32.375,\n",
       "       32.625, 32.875, 33.125, 33.375, 33.625, 33.875, 34.125, 34.375, 34.625,\n",
       "       34.875, 35.125, 35.375, 35.625], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-f6f8c046-323e-4f4f-961c-e2f9ae3be233' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6f8c046-323e-4f4f-961c-e2f9ae3be233' 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>prcp</span></div><div class='xr-var-dims'>(T, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.73326963 0.79116285</div><input id='attrs-10d1fc5a-8ea6-4f58-bcb9-d76ab640f3da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10d1fc5a-8ea6-4f58-bcb9-d76ab640f3da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087c7398-f3c1-4d9f-aaac-7b2999075433' class='xr-var-data-in' type='checkbox'><label for='data-087c7398-f3c1-4d9f-aaac-7b2999075433' 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><pre class='xr-var-data'>array([[[        nan,         nan,         nan, ...,  0.74806994,\n",
       "          0.75371796,  0.71871775],\n",
       "        [        nan,         nan,         nan, ...,  0.66490424,\n",
       "          0.6016542 ,  0.6112729 ],\n",
       "        [        nan,         nan,         nan, ...,  0.48633808,\n",
       "          0.5582984 ,  0.5146656 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  0.73868674,\n",
       "          0.7132385 ,  0.8595276 ],\n",
       "        [        nan,         nan,         nan, ...,  0.72774   ,\n",
       "          0.66099125,  0.7130526 ],\n",
       "        [        nan,         nan,  7.1669726 , ...,  0.6104653 ,\n",
       "          0.5927555 ,  0.54506195]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  0.32412788,\n",
       "          0.28347582,  0.20270333],\n",
       "        [        nan,         nan,         nan, ...,  0.47609037,\n",
       "          0.33339676,  0.24237691],\n",
       "        [        nan,         nan,         nan, ...,  0.64206326,\n",
       "          0.52021104,  0.2956654 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  0.67271245,\n",
       "          0.6472998 ,  0.7133935 ],\n",
       "        [        nan,         nan,         nan, ...,  0.702375  ,\n",
       "          0.59377104,  0.6795252 ],\n",
       "        [        nan,         nan,  4.2457323 , ...,  0.7382745 ,\n",
       "          0.6942784 ,  0.6744831 ]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  0.15767427,\n",
       "          0.21612291,  0.17796913],\n",
       "        [        nan,         nan,         nan, ...,  0.12630345,\n",
       "          0.15666609,  0.16996017],\n",
       "        [        nan,         nan,         nan, ...,  0.14130937,\n",
       "          0.13405406,  0.16487673],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  0.8226132 ,\n",
       "          0.82160604,  1.0784942 ],\n",
       "        [        nan,         nan,         nan, ...,  0.8580936 ,\n",
       "          0.9279063 ,  0.91537887],\n",
       "        [        nan,         nan,  0.7726491 , ...,  1.1476815 ,\n",
       "          1.0969967 ,  0.970144  ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  6.074575  ,\n",
       "          7.537455  ,  6.609313  ],\n",
       "        [        nan,         nan,         nan, ...,  8.387604  ,\n",
       "          8.399045  ,  6.5293336 ],\n",
       "        [        nan,         nan,         nan, ...,  8.348903  ,\n",
       "          7.8646073 ,  6.7322197 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  3.2138753 ,\n",
       "          3.5980043 ,  3.5242639 ],\n",
       "        [        nan,         nan,         nan, ...,  3.3919916 ,\n",
       "          3.374788  ,  3.5345855 ],\n",
       "        [        nan,         nan,  0.01371945, ...,  3.4565332 ,\n",
       "          3.483378  ,  3.176794  ]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ..., 10.105661  ,\n",
       "         10.847187  ,  9.556451  ],\n",
       "        [        nan,         nan,         nan, ..., 11.658333  ,\n",
       "         10.669825  ,  8.503248  ],\n",
       "        [        nan,         nan,         nan, ...,  8.775554  ,\n",
       "          8.888621  ,  7.5457463 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  1.2662941 ,\n",
       "          1.2582791 ,  1.3022867 ],\n",
       "        [        nan,         nan,         nan, ...,  1.1230289 ,\n",
       "          1.2886703 ,  1.3630713 ],\n",
       "        [        nan,         nan,  0.02061713, ...,  1.2232097 ,\n",
       "          1.320692  ,  1.3212429 ]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  7.664452  ,\n",
       "          8.172967  ,  8.932757  ],\n",
       "        [        nan,         nan,         nan, ..., 10.053977  ,\n",
       "          9.9779    ,  7.7717304 ],\n",
       "        [        nan,         nan,         nan, ...,  6.5646453 ,\n",
       "          8.230434  ,  6.3964667 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,  0.5961258 ,\n",
       "          0.5422006 ,  0.525534  ],\n",
       "        [        nan,         nan,         nan, ...,  0.7275851 ,\n",
       "          0.70582396,  0.7680965 ],\n",
       "        [        nan,         nan,  0.12238619, ...,  0.7658498 ,\n",
       "          0.73326963,  0.79116285]]], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-c523d4b1-87f0-4f7b-9b09-5ad752cd85a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c523d4b1-87f0-4f7b-9b09-5ad752cd85a3' 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.Dataset>\n",
       "Dimensions:  (T: 129, X: 74, Y: 67)\n",
       "Coordinates:\n",
       "  * T        (T) datetime64[ns] 2010-01-01 2010-02-01 ... 2020-08-01 2020-09-01\n",
       "  * X        (X) float32 -121.625 -121.375 -121.125 ... -103.625 -103.375\n",
       "  * Y        (Y) float32 19.125 19.375 19.625 19.875 ... 35.125 35.375 35.625\n",
       "Data variables:\n",
       "    prcp     (T, Y, X) float32 nan nan nan ... 0.7658498 0.73326963 0.79116285"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reducing the full dataset so it just includes monthly means\n",
    "ds_resample = ds.resample(T=\"1MS\").reduce(np.mean)\n",
    "ds_resample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "#t = ds_resample.isel(T=slice(0,9)).to_array()\n",
    "t = ds_resample.sel(T=slice('2010-01-01T12:00:00.000000000','2010-10-01T12:00:00.000000000')).to_array()\n",
    "\n",
    "simple = t.plot(x=\"X\", y=\"Y\", col=\"T\", col_wrap=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  display: none;\n",
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       "\n",
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       "\n",
       ".xr-dim-list {\n",
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       "\n",
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       "\n",
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       "\n",
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       ".xr-attrs dt:hover {\n",
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       "  width: auto;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
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       "\n",
       ".xr-var-name span,\n",
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       "\n",
       ".xr-attrs,\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
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       "}\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><div class='xr-wrap'><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-141c541b-5f36-441c-b781-0cb7a3dcc241' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-141c541b-5f36-441c-b781-0cb7a3dcc241' 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'>X</span>: 74</li><li><span class='xr-has-index'>Y</span>: 67</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-27be505c-a6c3-46d2-9fd9-2efc41b2f30e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27be505c-a6c3-46d2-9fd9-2efc41b2f30e' 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'>X</span></div><div class='xr-var-dims'>(X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-121.625 -121.375 ... -103.375</div><input id='attrs-c56d970d-a554-4319-aaef-48a8ae732929' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c56d970d-a554-4319-aaef-48a8ae732929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-731344bf-0021-437f-99d3-651b74ae95a7' class='xr-var-data-in' type='checkbox'><label for='data-731344bf-0021-437f-99d3-651b74ae95a7' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><pre class='xr-var-data'>array([-121.625, -121.375, -121.125, -120.875, -120.625, -120.375, -120.125,\n",
       "       -119.875, -119.625, -119.375, -119.125, -118.875, -118.625, -118.375,\n",
       "       -118.125, -117.875, -117.625, -117.375, -117.125, -116.875, -116.625,\n",
       "       -116.375, -116.125, -115.875, -115.625, -115.375, -115.125, -114.875,\n",
       "       -114.625, -114.375, -114.125, -113.875, -113.625, -113.375, -113.125,\n",
       "       -112.875, -112.625, -112.375, -112.125, -111.875, -111.625, -111.375,\n",
       "       -111.125, -110.875, -110.625, -110.375, -110.125, -109.875, -109.625,\n",
       "       -109.375, -109.125, -108.875, -108.625, -108.375, -108.125, -107.875,\n",
       "       -107.625, -107.375, -107.125, -106.875, -106.625, -106.375, -106.125,\n",
       "       -105.875, -105.625, -105.375, -105.125, -104.875, -104.625, -104.375,\n",
       "       -104.125, -103.875, -103.625, -103.375], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y</span></div><div class='xr-var-dims'>(Y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>19.125 19.375 ... 35.375 35.625</div><input id='attrs-4ed2bc74-905a-485a-9cc7-fbc7dd09f459' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ed2bc74-905a-485a-9cc7-fbc7dd09f459' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a65ae884-ab45-4188-a48e-a5347de2bb6f' class='xr-var-data-in' type='checkbox'><label for='data-a65ae884-ab45-4188-a48e-a5347de2bb6f' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>pointwidth :</span></dt><dd>0.25</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><pre class='xr-var-data'>array([19.125, 19.375, 19.625, 19.875, 20.125, 20.375, 20.625, 20.875, 21.125,\n",
       "       21.375, 21.625, 21.875, 22.125, 22.375, 22.625, 22.875, 23.125, 23.375,\n",
       "       23.625, 23.875, 24.125, 24.375, 24.625, 24.875, 25.125, 25.375, 25.625,\n",
       "       25.875, 26.125, 26.375, 26.625, 26.875, 27.125, 27.375, 27.625, 27.875,\n",
       "       28.125, 28.375, 28.625, 28.875, 29.125, 29.375, 29.625, 29.875, 30.125,\n",
       "       30.375, 30.625, 30.875, 31.125, 31.375, 31.625, 31.875, 32.125, 32.375,\n",
       "       32.625, 32.875, 33.125, 33.375, 33.625, 33.875, 34.125, 34.375, 34.625,\n",
       "       34.875, 35.125, 35.375, 35.625], dtype=float32)</pre></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-af7ef23d-f85d-48d5-a89d-0f2c6b2c788f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af7ef23d-f85d-48d5-a89d-0f2c6b2c788f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53263d06-a0c2-4554-8326-b78026ac2db6' class='xr-var-data-in' type='checkbox'><label for='data-53263d06-a0c2-4554-8326-b78026ac2db6' 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><pre class='xr-var-data'>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12], dtype=int64)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-d13be914-677f-4376-b411-f82567f31de3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d13be914-677f-4376-b411-f82567f31de3' 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>prcp</span></div><div class='xr-var-dims'>(month, Y, X)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.41699877 0.38865188</div><input id='attrs-e4205d5b-9fac-4ef9-b325-8d1bdc40ef4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4205d5b-9fac-4ef9-b325-8d1bdc40ef4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312630ab-75e8-497b-bd71-2027505a5af8' class='xr-var-data-in' type='checkbox'><label for='data-312630ab-75e8-497b-bd71-2027505a5af8' 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><pre class='xr-var-data'>array([[[       nan,        nan,        nan, ..., 0.585573  ,\n",
       "         0.55578864, 0.44912362],\n",
       "        [       nan,        nan,        nan, ..., 0.57418865,\n",
       "         0.4773198 , 0.4008609 ],\n",
       "        [       nan,        nan,        nan, ..., 0.45666555,\n",
       "         0.4760314 , 0.43267053],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 0.36507797,\n",
       "         0.34057885, 0.4383836 ],\n",
       "        [       nan,        nan,        nan, ..., 0.37830195,\n",
       "         0.3384229 , 0.37128302],\n",
       "        [       nan,        nan, 3.3729439 , ..., 0.37542236,\n",
       "         0.3468361 , 0.32266113]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ..., 0.2556733 ,\n",
       "         0.2977886 , 0.31077933],\n",
       "        [       nan,        nan,        nan, ..., 0.37345296,\n",
       "         0.35239133, 0.3968662 ],\n",
       "        [       nan,        nan,        nan, ..., 0.428515  ,\n",
       "         0.4983496 , 0.39687562],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 0.33297887,\n",
       "         0.31860384, 0.34349394],\n",
       "        [       nan,        nan,        nan, ..., 0.33832762,\n",
       "         0.3058951 , 0.32777452],\n",
       "        [       nan,        nan, 2.0525062 , ..., 0.3595779 ,\n",
       "         0.34488225, 0.33249968]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ..., 0.14479347,\n",
       "         0.2574033 , 0.17905949],\n",
       "        [       nan,        nan,        nan, ..., 0.15569972,\n",
       "         0.17987585, 0.19656247],\n",
       "        [       nan,        nan,        nan, ..., 0.16510898,\n",
       "         0.20366995, 0.23159523],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 0.43970665,\n",
       "         0.43468598, 0.56764936],\n",
       "        [       nan,        nan,        nan, ..., 0.4635423 ,\n",
       "         0.47635904, 0.47977388],\n",
       "        [       nan,        nan, 2.2987537 , ..., 0.52553827,\n",
       "         0.48790842, 0.47565785]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[       nan,        nan,        nan, ..., 3.6419394 ,\n",
       "         4.3724804 , 3.8933437 ],\n",
       "        [       nan,        nan,        nan, ..., 4.488358  ,\n",
       "         4.3368134 , 3.7425272 ],\n",
       "        [       nan,        nan,        nan, ..., 4.2221174 ,\n",
       "         4.014242  , 3.2462137 ],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 1.3199008 ,\n",
       "         1.3057144 , 1.3502737 ],\n",
       "        [       nan,        nan,        nan, ..., 1.2803392 ,\n",
       "         1.3185744 , 1.3442069 ],\n",
       "        [       nan,        nan, 0.6509415 , ..., 1.172148  ,\n",
       "         1.1917208 , 1.2963779 ]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ..., 1.3252983 ,\n",
       "         1.5125175 , 1.1768515 ],\n",
       "        [       nan,        nan,        nan, ..., 1.4371438 ,\n",
       "         1.2538407 , 1.1129175 ],\n",
       "        [       nan,        nan,        nan, ..., 1.1338339 ,\n",
       "         1.5665488 , 1.2165834 ],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 0.45753732,\n",
       "         0.42750853, 0.5167134 ],\n",
       "        [       nan,        nan,        nan, ..., 0.48067942,\n",
       "         0.43482703, 0.45130718],\n",
       "        [       nan,        nan, 1.5170636 , ..., 0.49226475,\n",
       "         0.41201946, 0.4192993 ]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ..., 0.38412422,\n",
       "         0.43801308, 0.34914094],\n",
       "        [       nan,        nan,        nan, ..., 0.43450314,\n",
       "         0.34129283, 0.29148638],\n",
       "        [       nan,        nan,        nan, ..., 0.45764986,\n",
       "         0.5026942 , 0.34058794],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ..., 0.44582534,\n",
       "         0.4083249 , 0.44472873],\n",
       "        [       nan,        nan,        nan, ..., 0.47702873,\n",
       "         0.44062105, 0.42183822],\n",
       "        [       nan,        nan, 2.80577   , ..., 0.47723722,\n",
       "         0.41699877, 0.38865188]]], dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-2ec12cba-d3d2-44db-ad1c-f0b01cb37253' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ec12cba-d3d2-44db-ad1c-f0b01cb37253' 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.Dataset>\n",
       "Dimensions:  (X: 74, Y: 67, month: 12)\n",
       "Coordinates:\n",
       "  * X        (X) float32 -121.625 -121.375 -121.125 ... -103.625 -103.375\n",
       "  * Y        (Y) float32 19.125 19.375 19.625 19.875 ... 35.125 35.375 35.625\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    prcp     (month, Y, X) float32 nan nan nan ... 0.41699877 0.38865188"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#generate averages for every month over the entire dataset\n",
    "ds_clim = ds.groupby('T.month').mean('T')\n",
    "ds_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert to array and plot the data\n",
    "ds_clim_array = ds_clim.to_array()\n",
    "clim_plot = ds_clim_array.plot(x=\"X\", y=\"Y\", col=\"month\", col_wrap=3)\n",
    "plt.savefig('C:/Users/dmres/monthly_climatoloy.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "month1 = ds_clim.sel(month=1).to_array().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in ds_clim['month']:\n",
    "    plt.figure()\n",
    "    mnth = ds_clim.sel(month=i).to_array().plot()\n",
    "    #plot = mnth.to_array().plot()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.animation as animation\n",
    "from matplotlib.animation import FuncAnimation, PillowWriter\n",
    "\n",
    "fig = plt.figure()\n",
    "\n",
    "ims = []\n",
    "for i in ds_clim['month']:\n",
    "    mnth = ds_clim.sel(month=i).to_array().plot(add_colorbar=False)\n",
    "    #mnth['prcp'].plot(add_colorbar=False)\n",
    "    ims.append([mnth])\n",
    "\n",
    "    \n",
    "ani = animation.ArtistAnimation(fig, ims, interval=200, blit=True, repeat_delay=100)\n",
    "#ani.save(\"C:/Users/dmres/IRI_plots/dynamic.gif\", writer=PillowWriter(fps=24))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in ds_clim['month']:\n",
    "    plt.figure()\n",
    "    mnth = ds_clim.sel(month=i)\n",
    "    mnth['prcp'].plot()"
   ]
  }
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