IO_ssha-motu.ipynb

{
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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
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   "id": "f2a715a9-5cb2-49ff-9ff2-0621ba254413",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 120, time: 366, longitude: 201)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 0.125 0.375 0.625 0.875 ... 29.38 29.62 29.88\n",
       "  * time       (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2000-12-31\n",
       "  * longitude  (longitude) float32 49.88 50.12 50.38 50.62 ... 99.38 99.62 99.88\n",
       "Data variables:\n",
       "    crs        int32 -2147483647\n",
       "    sla        (time, latitude, longitude) float64 ...\n",
       "    err_sla    (time, latitude, longitude) float64 ...\n",
       "Attributes: (12/45)\n",
       "    Conventions:                                    CF-1.6\n",
       "    FROM_ORIGINAL_FILE__Metadata_Conventions:       Unidata Dataset Discovery...\n",
       "    cdm_data_type:                                  Grid\n",
       "    comment:                                        Sea Surface Height measur...\n",
       "    contact:                                        servicedesk.cmems@mercato...\n",
       "    creator_email:                                  servicedesk.cmems@mercato...\n",
       "    ...                                             ...\n",
       "    time_coverage_duration:                         P1D\n",
       "    time_coverage_end:                              2022-08-04T12:00:00Z\n",
       "    time_coverage_resolution:                       P1D\n",
       "    time_coverage_start:                            2022-08-03T12:00:00Z\n",
       "    title:                                          DT merged all satellites ...\n",
       "    _CoordSysBuilder:                               ucar.nc2.dataset.conv.CF1...</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-deea4c72-1ab3-4bf2-adec-3f35ee52a452' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-deea4c72-1ab3-4bf2-adec-3f35ee52a452' 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'>latitude</span>: 120</li><li><span class='xr-has-index'>time</span>: 366</li><li><span class='xr-has-index'>longitude</span>: 201</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84b44d0e-78e8-4c52-9a06-b2dd8d4962c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84b44d0e-78e8-4c52-9a06-b2dd8d4962c8' 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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 29.62 29.88</div><input id='attrs-fa153925-9360-426b-9863-fea9f8931397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa153925-9360-426b-9863-fea9f8931397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-378bf5a7-bb8e-452b-8a0d-ceaf227cfb19' class='xr-var-data-in' type='checkbox'><label for='data-378bf5a7-bb8e-452b-8a0d-ceaf227cfb19' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>29.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd><dt><span>_ChunkSizes :</span></dt><dd>50</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625,  0.875,  1.125,  1.375,  1.625,  1.875,  2.125,\n",
       "        2.375,  2.625,  2.875,  3.125,  3.375,  3.625,  3.875,  4.125,  4.375,\n",
       "        4.625,  4.875,  5.125,  5.375,  5.625,  5.875,  6.125,  6.375,  6.625,\n",
       "        6.875,  7.125,  7.375,  7.625,  7.875,  8.125,  8.375,  8.625,  8.875,\n",
       "        9.125,  9.375,  9.625,  9.875, 10.125, 10.375, 10.625, 10.875, 11.125,\n",
       "       11.375, 11.625, 11.875, 12.125, 12.375, 12.625, 12.875, 13.125, 13.375,\n",
       "       13.625, 13.875, 14.125, 14.375, 14.625, 14.875, 15.125, 15.375, 15.625,\n",
       "       15.875, 16.125, 16.375, 16.625, 16.875, 17.125, 17.375, 17.625, 17.875,\n",
       "       18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875, 28.125, 28.375, 28.625, 28.875, 29.125,\n",
       "       29.375, 29.625, 29.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2000-12-31</div><input id='attrs-3d640a4c-1133-4da0-b6ef-4efd220025ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d640a4c-1133-4da0-b6ef-4efd220025ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e27b907-e10e-4bef-bd65-7cc2a3774910' class='xr-var-data-in' type='checkbox'><label for='data-2e27b907-e10e-4bef-bd65-7cc2a3774910' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>valid_min :</span></dt><dd>18262.0</dd><dt><span>valid_max :</span></dt><dd>18627.0</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2000-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-30T00:00:00.000000000&#x27;, &#x27;2000-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>float32</div><div class='xr-var-preview xr-preview'>49.88 50.12 50.38 ... 99.62 99.88</div><input id='attrs-9810911f-9f4f-4056-89fd-7ab5e5403179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9810911f-9f4f-4056-89fd-7ab5e5403179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc6c0143-7dc2-4c4e-9386-9b7fd480fbad' class='xr-var-data-in' type='checkbox'><label for='data-bc6c0143-7dc2-4c4e-9386-9b7fd480fbad' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>99.875</dd><dt><span>valid_min :</span></dt><dd>49.875</dd><dt><span>_ChunkSizes :</span></dt><dd>50</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([49.875, 50.125, 50.375, ..., 99.375, 99.625, 99.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d8adfec-190b-4032-8cd9-56677b3edc42' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d8adfec-190b-4032-8cd9-56677b3edc42' 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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-822b634e-a498-4746-bd1e-155b6edefcb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-822b634e-a498-4746-bd1e-155b6edefcb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d603e4b-f1a0-4ac3-8002-9750dc202de9' class='xr-var-data-in' type='checkbox'><label for='data-2d603e4b-f1a0-4ac3-8002-9750dc202de9' 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>comment :</span></dt><dd>This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system.</dd><dt><span>inverse_flattening :</span></dt><dd>298.257</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>semi_major_axis :</span></dt><dd>6378136.3</dd><dt><span>_CoordinateTransformType :</span></dt><dd>Projection</dd><dt><span>_CoordinateAxisTypes :</span></dt><dd>GeoX GeoY</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla</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-a6cbe9d2-459f-4c8d-ae08-fceb5cabd185' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6cbe9d2-459f-4c8d-ae08-fceb5cabd185' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fb81e35-19da-4fd4-beb3-9069f9a91400' class='xr-var-data-in' type='checkbox'><label for='data-8fb81e35-19da-4fd4-beb3-9069f9a91400' 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>ancillary_variables :</span></dt><dd>err_sla</dd><dt><span>comment :</span></dt><dd>The sea level anomaly is the sea surface height above mean sea surface; it is referenced to the [1993, 2012] period; see the product user manual for details</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Sea level anomaly</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 1 50 50]</dd></dl></div><div class='xr-var-data'><pre>[8827920 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_sla</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-1b189a90-a0f7-4d19-846f-4d5d9a6fc8aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b189a90-a0f7-4d19-846f-4d5d9a6fc8aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00360891-9b1c-4ebf-a6d2-46381526a966' class='xr-var-data-in' type='checkbox'><label for='data-00360891-9b1c-4ebf-a6d2-46381526a966' 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>comment :</span></dt><dd>The formal mapping error represents a purely theoretical mapping error. It mainly traduces errors induced by the constellation sampling capability and consistency with the spatial/temporal scales considered, as described in Le Traon et al (1998) or Ducet et al (2000)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Formal mapping error</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level standard_error</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>_ChunkSizes :</span></dt><dd>[ 1 50 50]</dd></dl></div><div class='xr-var-data'><pre>[8827920 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c5bf47eb-3e8d-4bfa-9567-0d703803f23e' class='xr-section-summary-in' type='checkbox'  ><label for='section-c5bf47eb-3e8d-4bfa-9567-0d703803f23e' class='xr-section-summary' >Attributes: <span>(45)</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>FROM_ORIGINAL_FILE__Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Sea Surface Height measured by Altimetry and derived variables</dd><dt><span>contact :</span></dt><dd>servicedesk.cmems@mercator-ocean.eu</dd><dt><span>creator_email :</span></dt><dd>servicedesk.cmems@mercator-ocean.eu</dd><dt><span>creator_name :</span></dt><dd>CMEMS - Sea Level Thematic Assembly Center</dd><dt><span>creator_url :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>date_created :</span></dt><dd>2023-03-01T17:56:26Z</dd><dt><span>date_issued :</span></dt><dd>2023-03-01T17:56:26Z</dd><dt><span>date_modified :</span></dt><dd>2023-03-01T17:56:26Z</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lat_max :</span></dt><dd>89.875</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lat_min :</span></dt><dd>-89.875</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lon_max :</span></dt><dd>179.875</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lon_min :</span></dt><dd>-179.875</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>FROM_ORIGINAL_FILE__geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>point</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>history :</span></dt><dd>2023-03-01 17:56:27Z: Creation</dd><dt><span>institution :</span></dt><dd>CLS, CNES</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Topography &gt; Sea Surface Height</dd><dt><span>keywords_vocabulary :</span></dt><dd>NetCDF COARDS Climate and Forecast Standard Names</dd><dt><span>license :</span></dt><dd>http://marine.copernicus.eu/web/27-service-commitments-and-licence.php</dd><dt><span>FROM_ORIGINAL_FILE__platform :</span></dt><dd>Altika Drifting Phase, Cryosat-2 New Orbit, Haiyang-2B, Jason-3 Interleaved, Sentinel-3A, Sentinel-3B, Sentinel-6A</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>FROM_ORIGINAL_FILE__product_version :</span></dt><dd>vDec2021</dd><dt><span>project :</span></dt><dd>COPERNICUS MARINE ENVIRONMENT MONITORING SERVICE (CMEMS)</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>FROM_ORIGINAL_FILE__software_version :</span></dt><dd>7.1_DUACS_DT2021_baseline</dd><dt><span>source :</span></dt><dd>Altimetry measurements</dd><dt><span>ssalto_duacs_comment :</span></dt><dd>The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 between 2008-10-19 and 2016-06-25, Jason-3 between 2016-06-25 and 2022-02-09, and Sentinel-6A from 2022-02-10.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v37</dd><dt><span>summary :</span></dt><dd>SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_end :</span></dt><dd>2022-08-04T12:00:00Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>2022-08-03T12:00:00Z</dd><dt><span>title :</span></dt><dd>DT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables</dd><dt><span>_CoordSysBuilder :</span></dt><dd>ucar.nc2.dataset.conv.CF1Convention</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 120, time: 366, longitude: 201)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 0.125 0.375 0.625 0.875 ... 29.38 29.62 29.88\n",
       "  * time       (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2000-12-31\n",
       "  * longitude  (longitude) float32 49.88 50.12 50.38 50.62 ... 99.38 99.62 99.88\n",
       "Data variables:\n",
       "    crs        int32 ...\n",
       "    sla        (time, latitude, longitude) float64 ...\n",
       "    err_sla    (time, latitude, longitude) float64 ...\n",
       "Attributes: (12/45)\n",
       "    Conventions:                                    CF-1.6\n",
       "    FROM_ORIGINAL_FILE__Metadata_Conventions:       Unidata Dataset Discovery...\n",
       "    cdm_data_type:                                  Grid\n",
       "    comment:                                        Sea Surface Height measur...\n",
       "    contact:                                        servicedesk.cmems@mercato...\n",
       "    creator_email:                                  servicedesk.cmems@mercato...\n",
       "    ...                                             ...\n",
       "    time_coverage_duration:                         P1D\n",
       "    time_coverage_end:                              2022-08-04T12:00:00Z\n",
       "    time_coverage_resolution:                       P1D\n",
       "    time_coverage_start:                            2022-08-03T12:00:00Z\n",
       "    title:                                          DT merged all satellites ...\n",
       "    _CoordSysBuilder:                               ucar.nc2.dataset.conv.CF1..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "motu = xr.open_dataset('ssh.nc')\n",
    "motu"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1be4eff-5e86-4687-8cd6-8e1d56441ffb",
   "metadata": {},
   "source": [
    "# Compare downloads over motu and copernicus api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "945d749d-4933-419a-9456-a37ba0e12ec2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f714083d2b0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y2000 = xr.open_dataset('cop_sla/2000.nc')\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 8))\n",
    "y2000.isel(time=0)['sla'].plot.imshow(ax=ax1)\n",
    "motu.isel(time=0)['sla'].plot.imshow(ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6bba4e58-5c68-4934-9ce1-314be7ea9767",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}