python/examples/xarray_usage.ipynb

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    "import cf_xarray\n",
    "import gribberish\n",
    "import xarray as xr"
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    "## Reading a Dataset\n",
    "\n",
    "The `gribberish` engine can be used to read a grib2 file into a dataset."
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      "/Users/matthew/Developer/gribberish/python/gribberish/gribberish_backend.py:50: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.\n",
      "  return xr.Dataset(\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 15MB\n",
       "Dimensions:    (time: 1, latitude: 331, longitude: 301, seq: 3)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 8B 2021-08-26T12:00:00\n",
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       "    vgrd       (time, latitude, longitude) float64 797kB ...\n",
       "    ...         ...\n",
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       "    dirpw      (time, latitude, longitude) float64 797kB ...\n",
       "    wvhgt      (time, latitude, longitude) float64 797kB ...\n",
       "    wvdir      (time, latitude, longitude) float64 797kB ...\n",
       "Attributes:\n",
       "    meta:     Generated with gribberishpy</pre><div class='xr-wrap' style='display:none'><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-dc838bc3-657a-4ba7-90ba-c91f290c7204' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc838bc3-657a-4ba7-90ba-c91f290c7204' 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'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 331</li><li><span class='xr-has-index'>longitude</span>: 301</li><li><span class='xr-has-index'>seq</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5bf8ad1a-13e7-4c6b-8463-381d3476f27d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5bf8ad1a-13e7-4c6b-8463-381d3476f27d' 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'>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'>2021-08-26T12:00:00</div><input id='attrs-5c739cf2-86f7-4f24-8f45-a6f01f8bf524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c739cf2-86f7-4f24-8f45-a6f01f8bf524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1f6c610-f423-4e2c-8d9e-50843cf98d95' class='xr-var-data-in' type='checkbox'><label for='data-f1f6c610-f423-4e2c-8d9e-50843cf98d95' 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><dt><span>long_name :</span></dt><dd>time</dd><dt><span>unit :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-26T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>seq</span></div><div class='xr-var-dims'>(seq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0</div><input id='attrs-61b272e9-31bd-45dc-8210-20c78113eca8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61b272e9-31bd-45dc-8210-20c78113eca8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36678425-7e7f-4a8e-aa2d-c4a5a288268f' class='xr-var-data-in' type='checkbox'><label for='data-36678425-7e7f-4a8e-aa2d-c4a5a288268f' 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>ordered Sequence of Data</dd><dt><span>long_name :</span></dt><dd>ordered Sequence of Data</dd></dl></div><div class='xr-var-data'><pre>array([1., 2., 3.])</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'>float64</div><div class='xr-var-preview xr-preview'>55.0 54.83 ... 0.1666 -0.00011</div><input id='attrs-422e7fc6-125c-4297-9c73-ef00dffefa8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-422e7fc6-125c-4297-9c73-ef00dffefa8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8396ac50-6f29-43da-8316-8ffb9b0b4abb' class='xr-var-data-in' type='checkbox'><label for='data-8396ac50-6f29-43da-8316-8ffb9b0b4abb' 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>long_name :</span></dt><dd>latitude</dd><dt><span>unit :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 5.500000e+01,  5.483333e+01,  5.466667e+01, ...,  3.332240e-01,\n",
       "        1.665570e-01, -1.100000e-04])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>260.0 260.2 260.3 ... 309.8 310.0</div><input id='attrs-47ed2f83-b614-4ab3-a237-98a6656e36a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47ed2f83-b614-4ab3-a237-98a6656e36a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe606161-131f-439a-8e88-0c3aed41cabe' class='xr-var-data-in' type='checkbox'><label for='data-fe606161-131f-439a-8e88-0c3aed41cabe' 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>long_name :</span></dt><dd>longitude</dd><dt><span>unit :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([260.      , 260.166667, 260.333334, ..., 309.666766, 309.833433,\n",
       "       310.0001  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48dc3cf4-97c1-4d87-acaa-a0e2cf8098d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48dc3cf4-97c1-4d87-acaa-a0e2cf8098d0' class='xr-section-summary' >Data variables: <span>(13)</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>perpw</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b1e1d21-f4b2-473d-ba78-ee114141b9e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b1e1d21-f4b2-473d-ba78-ee114141b9e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-936f8599-a8a2-47ef-b275-e99205dc8200' class='xr-var-data-in' type='checkbox'><label for='data-936f8599-a8a2-47ef-b275-e99205dc8200' 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>primarymeanperiod</dd><dt><span>long_name :</span></dt><dd>primarymeanperiod</dd><dt><span>unit :</span></dt><dd>s</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htsgw</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ff0628f-73e6-475d-bab8-ba57d7f22242' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ff0628f-73e6-475d-bab8-ba57d7f22242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a50b823-bf45-4ba6-a3c2-3767c5b45b6b' class='xr-var-data-in' type='checkbox'><label for='data-4a50b823-bf45-4ba6-a3c2-3767c5b45b6b' 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>significantwaveheight</dd><dt><span>long_name :</span></dt><dd>significantwaveheight</dd><dt><span>unit :</span></dt><dd>m</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ugrd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdac8c82-74d1-4c93-bea7-4ee2bf2bb0c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdac8c82-74d1-4c93-bea7-4ee2bf2bb0c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb317512-230a-4714-b82e-0f736da42188' class='xr-var-data-in' type='checkbox'><label for='data-bb317512-230a-4714-b82e-0f736da42188' 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>ucomponentwindspeed</dd><dt><span>long_name :</span></dt><dd>ucomponentwindspeed</dd><dt><span>unit :</span></dt><dd>ms-1</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wdir</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef2419e1-4f9a-457b-830a-5afd5eaafd19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef2419e1-4f9a-457b-830a-5afd5eaafd19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf4f391-b237-49f6-a79f-43318a42301c' class='xr-var-data-in' type='checkbox'><label for='data-9cf4f391-b237-49f6-a79f-43318a42301c' 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>winddirection</dd><dt><span>long_name :</span></dt><dd>winddirection</dd><dt><span>unit :</span></dt><dd>degrees</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f3efbc8-0486-4ee1-a7c5-3a0b407b2e74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f3efbc8-0486-4ee1-a7c5-3a0b407b2e74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f0ad79f-061d-4e40-94a4-b6c404808e5f' class='xr-var-data-in' type='checkbox'><label for='data-4f0ad79f-061d-4e40-94a4-b6c404808e5f' 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>windspeed</dd><dt><span>long_name :</span></dt><dd>windspeed</dd><dt><span>unit :</span></dt><dd>ms-1</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vgrd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-237c9926-f02e-4b43-ad82-f40e690a40e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-237c9926-f02e-4b43-ad82-f40e690a40e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b750b8-36ee-413e-a7b0-b96c9203443d' class='xr-var-data-in' type='checkbox'><label for='data-f5b750b8-36ee-413e-a7b0-b96c9203443d' 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>vcomponentwindspeed</dd><dt><span>long_name :</span></dt><dd>vcomponentwindspeed</dd><dt><span>unit :</span></dt><dd>ms-1</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvper</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-991ed9b1-a2f6-47d3-93e2-7567224c7ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-991ed9b1-a2f6-47d3-93e2-7567224c7ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d842106e-a5c9-4985-aad8-e5c2c13063fa' class='xr-var-data-in' type='checkbox'><label for='data-d842106e-a5c9-4985-aad8-e5c2c13063fa' 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>windwavemeanperiod</dd><dt><span>long_name :</span></dt><dd>windwavemeanperiod</dd><dt><span>unit :</span></dt><dd>s</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swell</span></div><div class='xr-var-dims'>(time, seq, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d65fcb8-7add-4c4e-80da-a330d31001d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d65fcb8-7add-4c4e-80da-a330d31001d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b26e32d-448f-4cb8-94c6-d5b38c5fbe3a' class='xr-var-data-in' type='checkbox'><label for='data-1b26e32d-448f-4cb8-94c6-d5b38c5fbe3a' 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>swellsignificantwaveheight</dd><dt><span>long_name :</span></dt><dd>swellsignificantwaveheight</dd><dt><span>unit :</span></dt><dd>m</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ordered Sequence of Data</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[298893 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swper</span></div><div class='xr-var-dims'>(time, seq, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47658263-604c-4974-bcbb-669ff4894393' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47658263-604c-4974-bcbb-669ff4894393' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ba0149e-9002-449e-adc1-1d63fc7913c4' class='xr-var-data-in' type='checkbox'><label for='data-5ba0149e-9002-449e-adc1-1d63fc7913c4' 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>swellmeanperiod</dd><dt><span>long_name :</span></dt><dd>swellmeanperiod</dd><dt><span>unit :</span></dt><dd>s</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ordered Sequence of Data</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[298893 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swdir</span></div><div class='xr-var-dims'>(time, seq, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12d37d96-8974-42ed-9995-c30df4683522' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12d37d96-8974-42ed-9995-c30df4683522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9cf619b-3146-49b8-806a-6587adb95baa' class='xr-var-data-in' type='checkbox'><label for='data-f9cf619b-3146-49b8-806a-6587adb95baa' 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>swellwavedirection</dd><dt><span>long_name :</span></dt><dd>swellwavedirection</dd><dt><span>unit :</span></dt><dd>degree</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ordered Sequence of Data</dd><dt><span>fixed_surface_value :</span></dt><dd>3</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[298893 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dirpw</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d94cadf5-8a36-494a-b75b-9ed1ba3a0dcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d94cadf5-8a36-494a-b75b-9ed1ba3a0dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a1503c-09a1-4e5a-837a-906b75059eb5' class='xr-var-data-in' type='checkbox'><label for='data-81a1503c-09a1-4e5a-837a-906b75059eb5' 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>primarywavedirection</dd><dt><span>long_name :</span></dt><dd>primarywavedirection</dd><dt><span>unit :</span></dt><dd>degree</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvhgt</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c0b9d93-96d2-48a8-a5b7-83e56150827c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0b9d93-96d2-48a8-a5b7-83e56150827c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9dc1d5f-a3cc-4bb4-a390-bc6f21eba3af' class='xr-var-data-in' type='checkbox'><label for='data-a9dc1d5f-a3cc-4bb4-a390-bc6f21eba3af' 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>windsignificantwaveheight</dd><dt><span>long_name :</span></dt><dd>windsignificantwaveheight</dd><dt><span>unit :</span></dt><dd>m</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;b&#x27;: 6367470.0, &#x27;a&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvdir</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c2ef93a-dcd8-4e32-b302-1c28e09c449c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c2ef93a-dcd8-4e32-b302-1c28e09c449c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84eb1100-2299-4463-9a74-59cc10ae2638' class='xr-var-data-in' type='checkbox'><label for='data-84eb1100-2299-4463-9a74-59cc10ae2638' 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>windwavedirection</dd><dt><span>long_name :</span></dt><dd>windwavedirection</dd><dt><span>unit :</span></dt><dd>degree</dd><dt><span>coordinates :</span></dt><dd>latitude longitude</dd><dt><span>reference_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_date :</span></dt><dd>2021-08-26T12:00:00+00:00</dd><dt><span>forecast_end_date :</span></dt><dd></dd><dt><span>fixed_surface_type :</span></dt><dd>ground or water surface</dd><dt><span>fixed_surface_value :</span></dt><dd>1</dd><dt><span>generating_process :</span></dt><dd>forecast</dd><dt><span>statistical_process :</span></dt><dd></dd><dt><span>proj_params :</span></dt><dd>{&#x27;proj&#x27;: &#x27;latlon&#x27;, &#x27;a&#x27;: 6367470.0, &#x27;b&#x27;: 6367470.0}</dd><dt><span>crs :</span></dt><dd>+proj=latlon +a=6367470 +b=6367470</dd></dl></div><div class='xr-var-data'><pre>[99631 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-51cbae2d-8d49-48bb-9a78-b9217b1f364f' class='xr-section-summary-in' type='checkbox'  ><label for='section-51cbae2d-8d49-48bb-9a78-b9217b1f364f' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ced2cb6a-db9e-4efb-bdb8-02e86201166a' class='xr-index-data-in' type='checkbox'/><label for='index-ced2cb6a-db9e-4efb-bdb8-02e86201166a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-08-26 12:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>seq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-44a4fd4b-2b02-48a1-b674-1f6976887d87' class='xr-index-data-in' type='checkbox'/><label for='index-44a4fd4b-2b02-48a1-b674-1f6976887d87' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.0, 2.0, 3.0], dtype=&#x27;float64&#x27;, name=&#x27;seq&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-88fa1d03-e9c7-440c-b650-f646a03d1a88' class='xr-index-data-in' type='checkbox'/><label for='index-88fa1d03-e9c7-440c-b650-f646a03d1a88' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([                   55.0,               54.833333,\n",
       "                     54.666666,               54.499999,\n",
       "                     54.333332,               54.166665,\n",
       "                     53.999998,               53.833331,\n",
       "                     53.666664,               53.499997,\n",
       "       ...\n",
       "            1.4998930000000072,      1.3332260000000034,\n",
       "            1.1665590000000066,      0.9998920000000027,\n",
       "            0.8332250000000059,      0.6665580000000091,\n",
       "            0.4998910000000052,      0.3332240000000084,\n",
       "            0.1665570000000045, -0.00010999999999228294],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=331))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da9fae97-bd4e-4959-b2fb-1117bca96af3' class='xr-index-data-in' type='checkbox'/><label for='index-da9fae97-bd4e-4959-b2fb-1117bca96af3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([     260.0, 260.166667, 260.333334, 260.500001, 260.666668, 260.833335,\n",
       "       261.000002, 261.166669, 261.333336, 261.500003,\n",
       "       ...\n",
       "       308.500097, 308.666764, 308.833431, 309.000098, 309.166765, 309.333432,\n",
       "       309.500099, 309.666766, 309.833433,   310.0001],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=301))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30a0d960-95c0-4e3e-8f68-7ef41759e96c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30a0d960-95c0-4e3e-8f68-7ef41759e96c' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>meta :</span></dt><dd>Generated with gribberishpy</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 15MB\n",
       "Dimensions:    (time: 1, latitude: 331, longitude: 301, seq: 3)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 8B 2021-08-26T12:00:00\n",
       "  * seq        (seq) float64 24B 1.0 2.0 3.0\n",
       "  * latitude   (latitude) float64 3kB 55.0 54.83 54.67 ... 0.1666 -0.00011\n",
       "  * longitude  (longitude) float64 2kB 260.0 260.2 260.3 ... 309.7 309.8 310.0\n",
       "Data variables: (12/13)\n",
       "    perpw      (time, latitude, longitude) float64 797kB ...\n",
       "    htsgw      (time, latitude, longitude) float64 797kB ...\n",
       "    ugrd       (time, latitude, longitude) float64 797kB ...\n",
       "    wdir       (time, latitude, longitude) float64 797kB ...\n",
       "    wind       (time, latitude, longitude) float64 797kB ...\n",
       "    vgrd       (time, latitude, longitude) float64 797kB ...\n",
       "    ...         ...\n",
       "    swell      (time, seq, latitude, longitude) float64 2MB ...\n",
       "    swper      (time, seq, latitude, longitude) float64 2MB ...\n",
       "    swdir      (time, seq, latitude, longitude) float64 2MB ...\n",
       "    dirpw      (time, latitude, longitude) float64 797kB ...\n",
       "    wvhgt      (time, latitude, longitude) float64 797kB ...\n",
       "    wvdir      (time, latitude, longitude) float64 797kB ...\n",
       "Attributes:\n",
       "    meta:     Generated with gribberishpy"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataset('gfswave.20210826.t12z.atlocn.0p16.f000.grib2', engine='gribberish')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 269 ms, sys: 23 ms, total: 292 ms\n",
      "Wall time: 1.11 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1410bad90>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time \n",
    "\n",
    "ds.htsgw.plot(x='longitude', y='latitude')"
   ]
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   "outputs": [],
   "source": []
  }
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