task2.ipynb

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    "# Select and filter data through coordinates\n",
    "\n",
    "Reference notebook for the second task of the Climate Geospatial Analysis with Python and Xarray project on Coursera.\n",
    "\n",
    "Instructor: Danilo Lessa Bernardineli (https://danlessa.github.io/)\n",
    "\n",
    "---\n",
    "\n",
    "- Welcome back! On this task, we are going to learn how to use the Xarray selectors as well as the where method so that we can navigate around our data.\n",
    "- Xarray selectors allows you to filter across multidimensions without hassles, and it is an very powerful feature when dealing with geospatial data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- So to get started, let's open the task 2 notebook. Run all the cells so that we load the previous task data. Before going further, take a note of our current dimensions: It is an structure which has length 31 across the latitude, 27 across the longitude, and 937 across the time dimension. This is an 3D structure, and you could imagine our data as being points over an cube."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xr.open_dataset('data.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (expver: 2, latitude: 89, longitude: 142, time: 500)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
       "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
       "  * expver     (expver) int32 1 5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
       "Data variables:\n",
       "    lai_hv     (time, expver, latitude, longitude) float32 ...\n",
       "    skt        (time, expver, latitude, longitude) float32 ...\n",
       "    tp         (time, expver, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</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-ce049333-94b7-4c22-8e48-09e5ee92a216' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce049333-94b7-4c22-8e48-09e5ee92a216' 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'>expver</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>longitude</span>: 142</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-db460cb0-6d47-4025-b303-8349e91dba48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db460cb0-6d47-4025-b303-8349e91dba48' class='xr-section-summary' >Coordinates: <span>(4)</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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-60ec2b4d-ea73-4967-83b7-4f6ab9a70fe7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60ec2b4d-ea73-4967-83b7-4f6ab9a70fe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1059a4c4-da13-4b40-b211-6f3e3ce4a9e5' class='xr-var-data-in' type='checkbox'><label for='data-1059a4c4-da13-4b40-b211-6f3e3ce4a9e5' 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></dl></div><div class='xr-var-data'><pre>array([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
       "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
       "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
       "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
       "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
       "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
       "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
       "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
       "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
       "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
       "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
       "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
       "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
       "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
       "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
       "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-9264245d-c902-4b64-994d-666946b9e0a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9264245d-c902-4b64-994d-666946b9e0a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-989425b5-72de-462d-aabf-c1978cded970' class='xr-var-data-in' type='checkbox'><label for='data-989425b5-72de-462d-aabf-c1978cded970' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
       "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
       "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
       "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
       "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
       "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
       "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
       "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
       "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
       "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>expver</span></div><div class='xr-var-dims'>(expver)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 5</div><input id='attrs-bf36397f-896e-4b63-95f3-4014bd7f47f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf36397f-896e-4b63-95f3-4014bd7f47f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36405d43-4588-409a-96c2-1f42253802fd' class='xr-var-data-in' type='checkbox'><label for='data-36405d43-4588-409a-96c2-1f42253802fd' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array([1, 5], dtype=int32)</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 ... 2020-08-01</div><input id='attrs-8831ac3b-71a7-4492-9b84-24879e7db362' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8831ac3b-71a7-4492-9b84-24879e7db362' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cfe69c5-2064-472a-b6e5-77aafba4b5c6' class='xr-var-data-in' type='checkbox'><label for='data-5cfe69c5-2064-472a-b6e5-77aafba4b5c6' 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></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;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",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ab08592-93d7-4d76-b6dd-e26c8b06489f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ab08592-93d7-4d76-b6dd-e26c8b06489f' class='xr-section-summary' >Data variables: <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>lai_hv</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dbf9af4-ab42-4024-91e8-1952d362b487' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dbf9af4-ab42-4024-91e8-1952d362b487' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2588884-0fb3-4ec6-a46f-a59e34380a6c' class='xr-var-data-in' type='checkbox'><label for='data-f2588884-0fb3-4ec6-a46f-a59e34380a6c' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ad03b8e-c0c3-4f90-9ee8-fde41e68cd4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ad03b8e-c0c3-4f90-9ee8-fde41e68cd4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2320c8b1-57d2-4c51-8aa5-8bc890a0e42b' class='xr-var-data-in' type='checkbox'><label for='data-2320c8b1-57d2-4c51-8aa5-8bc890a0e42b' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a4e744e-62ca-4681-a3af-7b179d4317a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a4e744e-62ca-4681-a3af-7b179d4317a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aa8742f-cb5e-4d49-adc8-53de2d49e58d' class='xr-var-data-in' type='checkbox'><label for='data-2aa8742f-cb5e-4d49-adc8-53de2d49e58d' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f9aa938-37f6-468c-a274-e26cb37c32a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f9aa938-37f6-468c-a274-e26cb37c32a2' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (expver: 2, latitude: 89, longitude: 142, time: 500)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
       "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
       "  * expver     (expver) int32 1 5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
       "Data variables:\n",
       "    lai_hv     (time, expver, latitude, longitude) float32 ...\n",
       "    skt        (time, expver, latitude, longitude) float32 ...\n",
       "    tp         (time, expver, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  }
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