core_sources-xarray.ipynb

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   "source": [
    "import xarray as xr\n",
    "\n",
    "run = 6"
   ]
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    "core_sources = xr.open_dataset(\n",
    "    f\"data/imasdb/aug/3/32408/{run}/core_sources.h5\",\n",
    "    engine=\"h5netcdf\",\n",
    "    group=\"core_sources\",\n",
    "    phony_dims=\"access\",\n",
    ")"
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    "def add_variable_name_as_attribute(dataset: xr.Dataset) -> xr.Dataset:\n",
    "    \"\"\"\n",
    "    Add an attribute to each variable in the dataset containing its name.\n",
    "    \n",
    "    Parameters:\n",
    "    - dataset (xr.Dataset): The input xarray Dataset.\n",
    "    \n",
    "    Returns:\n",
    "    - xr.Dataset: The modified Dataset with the attribute added to each variable.\n",
    "    \"\"\"\n",
    "    for var_name in list(dataset.variables):\n",
    "        dataset[var_name].attrs['IMAS_NAME'] = var_name\n",
    "    return dataset"
   ]
  },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
       "Dimensions:                                           (phony_dim_0: 1,\n",
       "                                                       phony_dim_2: 2,\n",
       "                                                       phony_dim_3: 120,\n",
       "                                                       phony_dim_4: 200,\n",
       "                                                       phony_dim_5: 20,\n",
       "                                                       phony_dim_1: 1)\n",
       "Dimensions without coordinates: phony_dim_0, phony_dim_2, phony_dim_3,\n",
       "                                phony_dim_4, phony_dim_5, phony_dim_1\n",
       "Data variables: (12/27)\n",
       "    ids_properties&amp;creation_date                      &lt;U8 32B ...\n",
       "    ids_properties&amp;homogeneous_time                   int32 4B ...\n",
       "    ids_properties&amp;version_put&amp;access_layer           &lt;U7 28B ...\n",
       "    ids_properties&amp;version_put&amp;access_layer_language  &lt;U6 24B ...\n",
       "    ids_properties&amp;version_put&amp;data_dictionary        &lt;U6 24B ...\n",
       "    source[]&amp;AOS_SHAPE                                (phony_dim_0) int32 4B ...\n",
       "    ...                                                ...\n",
       "    source[]&amp;profiles_1d[]&amp;j_parallel_SHAPE           (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    source[]&amp;profiles_1d[]&amp;momentum_tor               (phony_dim_2, phony_dim_3, phony_dim_5) float64 38kB ...\n",
       "    source[]&amp;profiles_1d[]&amp;momentum_tor_SHAPE         (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    source[]&amp;profiles_1d[]&amp;total_ion_energy           (phony_dim_2, phony_dim_3, phony_dim_4) float64 384kB ...\n",
       "    source[]&amp;profiles_1d[]&amp;total_ion_energy_SHAPE     (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    time                                              (phony_dim_3) float64 960B ...</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-028dc9b6-918d-4331-aae2-cd19d7ee3ef1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-028dc9b6-918d-4331-aae2-cd19d7ee3ef1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>phony_dim_0</span>: 1</li><li><span>phony_dim_2</span>: 2</li><li><span>phony_dim_3</span>: 120</li><li><span>phony_dim_4</span>: 200</li><li><span>phony_dim_5</span>: 20</li><li><span>phony_dim_1</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f68410c-240f-42b2-9ec4-0306cbda4928' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f68410c-240f-42b2-9ec4-0306cbda4928' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-153a2354-45c7-40ca-a848-095cd27eef0b' class='xr-section-summary-in' type='checkbox'  ><label for='section-153a2354-45c7-40ca-a848-095cd27eef0b' class='xr-section-summary' >Data variables: <span>(27)</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>ids_properties&amp;creation_date</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4424b6f0-dcb2-4164-b13b-4f2bb6b8e8ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4424b6f0-dcb2-4164-b13b-4f2bb6b8e8ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2bc2e61-af48-4649-9659-7ec55578fee0' class='xr-var-data-in' type='checkbox'><label for='data-c2bc2e61-af48-4649-9659-7ec55578fee0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=&lt;U8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ids_properties&amp;homogeneous_time</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-ec31afcb-e305-475f-9fdb-8017db68cd18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec31afcb-e305-475f-9fdb-8017db68cd18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97c758a1-e64d-4b1a-9625-fdc2454e5249' class='xr-var-data-in' type='checkbox'><label for='data-97c758a1-e64d-4b1a-9625-fdc2454e5249' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ids_properties&amp;version_put&amp;access_layer</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79bbfc71-1de5-40be-8c59-0072d9a068db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79bbfc71-1de5-40be-8c59-0072d9a068db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dc578e5-4a3c-472b-8aaa-6ca488ee8fb8' class='xr-var-data-in' type='checkbox'><label for='data-9dc578e5-4a3c-472b-8aaa-6ca488ee8fb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=&lt;U7]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ids_properties&amp;version_put&amp;access_layer_language</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17edabbe-9e3e-4082-b035-9118ab0318cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17edabbe-9e3e-4082-b035-9118ab0318cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95aabe8e-68b0-42b4-90c6-eaff8cf5671e' class='xr-var-data-in' type='checkbox'><label for='data-95aabe8e-68b0-42b4-90c6-eaff8cf5671e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=&lt;U6]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ids_properties&amp;version_put&amp;data_dictionary</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-758866e4-d4f2-4b00-a7f8-fdb0ee7a0084' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-758866e4-d4f2-4b00-a7f8-fdb0ee7a0084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847c48c4-bd16-4b1e-8ad6-733ebba27cfa' class='xr-var-data-in' type='checkbox'><label for='data-847c48c4-bd16-4b1e-8ad6-733ebba27cfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=&lt;U6]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;AOS_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3bcf89b-3517-4527-920f-266caa88a27d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3bcf89b-3517-4527-920f-266caa88a27d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-651b8dba-1f96-4925-a513-a97baba9cf12' class='xr-var-data-in' type='checkbox'><label for='data-651b8dba-1f96-4925-a513-a97baba9cf12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;identifier&amp;index</span></div><div class='xr-var-dims'>(phony_dim_2)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-380bb108-c01a-4ea4-a08f-4bb57d6a3e8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-380bb108-c01a-4ea4-a08f-4bb57d6a3e8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72b0371c-ea02-4fc5-b2aa-bbaa5098f0df' class='xr-var-data-in' type='checkbox'><label for='data-72b0371c-ea02-4fc5-b2aa-bbaa5098f0df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;identifier&amp;name</span></div><div class='xr-var-dims'>(phony_dim_2)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af194e24-8e14-499d-91ca-d95705e79675' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af194e24-8e14-499d-91ca-d95705e79675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c38b23d-c6af-421f-ab4c-bc862bcd07ac' class='xr-var-data-in' type='checkbox'><label for='data-3c38b23d-c6af-421f-ab4c-bc862bcd07ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[2 values with dtype=&lt;U3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;AOS_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89ec7288-091b-4fe1-a1cb-6c6d07e593e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89ec7288-091b-4fe1-a1cb-6c6d07e593e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b384095b-0c13-4b56-8ff0-34263c5533c6' class='xr-var-data-in' type='checkbox'><label for='data-b384095b-0c13-4b56-8ff0-34263c5533c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;electrons&amp;energy</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_4)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a67c5b29-9831-4649-a6a7-c472f71381ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a67c5b29-9831-4649-a6a7-c472f71381ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9ca3cb4-d9a1-456d-acf2-4e239fff4105' class='xr-var-data-in' type='checkbox'><label for='data-d9ca3cb4-d9a1-456d-acf2-4e239fff4105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;electrons&amp;energy_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63a28406-fa8f-4c27-8bf4-e0167433abf9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63a28406-fa8f-4c27-8bf4-e0167433abf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce04ae2f-cd30-4745-aedb-f699423dfd8f' class='xr-var-data-in' type='checkbox'><label for='data-ce04ae2f-cd30-4745-aedb-f699423dfd8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;electrons&amp;particles</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28275265-d930-4236-976c-fb7c435105c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28275265-d930-4236-976c-fb7c435105c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b05dbf4-2f84-458f-bcab-50963342b67c' class='xr-var-data-in' type='checkbox'><label for='data-5b05dbf4-2f84-458f-bcab-50963342b67c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;electrons&amp;particles_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ceb2123-dc18-4821-8332-8aef5cadcf24' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ceb2123-dc18-4821-8332-8aef5cadcf24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18cbe15f-db84-42e8-8d5a-d28f382353ae' class='xr-var-data-in' type='checkbox'><label for='data-18cbe15f-db84-42e8-8d5a-d28f382353ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;grid&amp;rho_tor_norm</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_4)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bc250de-3124-4b35-942e-7378245a44f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bc250de-3124-4b35-942e-7378245a44f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d3cdf6a-6992-477e-9dfa-671633e92faa' class='xr-var-data-in' type='checkbox'><label for='data-3d3cdf6a-6992-477e-9dfa-671633e92faa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;grid&amp;rho_tor_norm_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb0d38f1-2a75-462f-8b14-8684fb24f43b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb0d38f1-2a75-462f-8b14-8684fb24f43b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2212b64c-9d14-49a1-bf32-7f549fb0a5ed' class='xr-var-data-in' type='checkbox'><label for='data-2212b64c-9d14-49a1-bf32-7f549fb0a5ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;ion[]&amp;AOS_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec3d298b-662a-4607-8cf3-acb7cf6de140' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec3d298b-662a-4607-8cf3-acb7cf6de140' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2aad634-b05d-43ea-a27d-55d057b39913' class='xr-var-data-in' type='checkbox'><label for='data-d2aad634-b05d-43ea-a27d-55d057b39913' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;ion[]&amp;label</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b568715-58ea-45ed-bf0a-55f0f6299790' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b568715-58ea-45ed-bf0a-55f0f6299790' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f68e33d4-cf64-43dd-8f6a-b35605d6e474' class='xr-var-data-in' type='checkbox'><label for='data-f68e33d4-cf64-43dd-8f6a-b35605d6e474' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=&lt;U1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;ion[]&amp;particles</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-589f88a8-c780-480b-a5a0-37b95d217429' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-589f88a8-c780-480b-a5a0-37b95d217429' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb21ea23-363e-4730-8d2c-221ea70f4a51' class='xr-var-data-in' type='checkbox'><label for='data-eb21ea23-363e-4730-8d2c-221ea70f4a51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;ion[]&amp;particles_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0, phony_dim_1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-552b8a79-5ae0-48e0-8987-a666d14f9041' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-552b8a79-5ae0-48e0-8987-a666d14f9041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bde7ee4b-004f-4ae8-91b5-ecdc3357c7b5' class='xr-var-data-in' type='checkbox'><label for='data-bde7ee4b-004f-4ae8-91b5-ecdc3357c7b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;ion[]&amp;z_ion</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49097552-9fd7-4030-8173-5ac798a44eda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49097552-9fd7-4030-8173-5ac798a44eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e579b924-ca73-446b-b649-5837db859154' class='xr-var-data-in' type='checkbox'><label for='data-e579b924-ca73-446b-b649-5837db859154' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;j_parallel</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_4)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ba0dff7-42db-4aa8-811b-0bfafc353ea4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ba0dff7-42db-4aa8-811b-0bfafc353ea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b67ee518-4658-48d7-9344-3449100e743b' class='xr-var-data-in' type='checkbox'><label for='data-b67ee518-4658-48d7-9344-3449100e743b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;j_parallel_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7eaed764-b1b3-4d9a-a506-00cd187b7e93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eaed764-b1b3-4d9a-a506-00cd187b7e93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aea59ce1-8ad1-4e4a-b41e-d6020b1e095b' class='xr-var-data-in' type='checkbox'><label for='data-aea59ce1-8ad1-4e4a-b41e-d6020b1e095b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;momentum_tor</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c869e25-a383-44ca-9fce-9f5ed31e0e44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c869e25-a383-44ca-9fce-9f5ed31e0e44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2521d0a2-10ce-4b89-845c-96bf14c3d664' class='xr-var-data-in' type='checkbox'><label for='data-2521d0a2-10ce-4b89-845c-96bf14c3d664' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;momentum_tor_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77cb2d08-753c-4e74-a0ed-227043aec10b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77cb2d08-753c-4e74-a0ed-227043aec10b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7329d1-f4ea-4764-b655-6f3afb51bb79' class='xr-var-data-in' type='checkbox'><label for='data-cc7329d1-f4ea-4764-b655-6f3afb51bb79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;total_ion_energy</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_4)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-561ae19a-8a9b-4acd-8a71-3cad329c0c6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-561ae19a-8a9b-4acd-8a71-3cad329c0c6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3658cae5-c803-43b7-8dd4-74e408d90531' class='xr-var-data-in' type='checkbox'><label for='data-3658cae5-c803-43b7-8dd4-74e408d90531' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source[]&amp;profiles_1d[]&amp;total_ion_energy_SHAPE</span></div><div class='xr-var-dims'>(phony_dim_2, phony_dim_3, phony_dim_0)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-265c75d8-8561-4bb9-9d9b-10fb20d1231f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-265c75d8-8561-4bb9-9d9b-10fb20d1231f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-083323b7-cd37-46cf-8496-e71ba937a0b4' class='xr-var-data-in' type='checkbox'><label for='data-083323b7-cd37-46cf-8496-e71ba937a0b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(phony_dim_3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a569d1f2-88c2-4a31-ad9b-e4b5eabc629c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a569d1f2-88c2-4a31-ad9b-e4b5eabc629c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1de35ccc-e727-4252-8f8c-ff2a27751e03' class='xr-var-data-in' type='checkbox'><label for='data-1de35ccc-e727-4252-8f8c-ff2a27751e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[120 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d34a8b8-9811-42f3-9665-d54c9980630a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3d34a8b8-9811-42f3-9665-d54c9980630a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ee517e47-4bf0-4dd4-827b-4f4b77690804' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee517e47-4bf0-4dd4-827b-4f4b77690804' 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> Size: 2MB\n",
       "Dimensions:                                           (phony_dim_0: 1,\n",
       "                                                       phony_dim_2: 2,\n",
       "                                                       phony_dim_3: 120,\n",
       "                                                       phony_dim_4: 200,\n",
       "                                                       phony_dim_5: 20,\n",
       "                                                       phony_dim_1: 1)\n",
       "Dimensions without coordinates: phony_dim_0, phony_dim_2, phony_dim_3,\n",
       "                                phony_dim_4, phony_dim_5, phony_dim_1\n",
       "Data variables: (12/27)\n",
       "    ids_properties&creation_date                      <U8 32B ...\n",
       "    ids_properties&homogeneous_time                   int32 4B ...\n",
       "    ids_properties&version_put&access_layer           <U7 28B ...\n",
       "    ids_properties&version_put&access_layer_language  <U6 24B ...\n",
       "    ids_properties&version_put&data_dictionary        <U6 24B ...\n",
       "    source[]&AOS_SHAPE                                (phony_dim_0) int32 4B ...\n",
       "    ...                                                ...\n",
       "    source[]&profiles_1d[]&j_parallel_SHAPE           (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    source[]&profiles_1d[]&momentum_tor               (phony_dim_2, phony_dim_3, phony_dim_5) float64 38kB ...\n",
       "    source[]&profiles_1d[]&momentum_tor_SHAPE         (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    source[]&profiles_1d[]&total_ion_energy           (phony_dim_2, phony_dim_3, phony_dim_4) float64 384kB ...\n",
       "    source[]&profiles_1d[]&total_ion_energy_SHAPE     (phony_dim_2, phony_dim_3, phony_dim_0) int32 960B ...\n",
       "    time                                              (phony_dim_3) float64 960B ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "71b02d4e-df48-47a1-bd6e-522a2ad783cc",
   "metadata": {},
   "outputs": [
    {
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       "  grid-column: 1 / -1;\n",
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       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
       "Dimensions:             (source: 2, time: 120, rho_tor_norm: 200,\n",
       "                         phony_dim_5: 20, ion: 1)\n",
       "Coordinates:\n",
       "    source              (source) &lt;U3 24B ...\n",
       "    rho_tor_norm        (source, time, rho_tor_norm) float64 384kB ...\n",
       "    ion                 (source, time, ion) &lt;U1 960B ...\n",
       "  * time                (time) float64 960B 2.0 2.05 2.1 2.15 ... 7.85 7.9 7.95\n",
       "Dimensions without coordinates: phony_dim_5\n",
       "Data variables:\n",
       "    electron_energy     (source, time, rho_tor_norm) float64 384kB ...\n",
       "    electron_particles  (source, time, phony_dim_5) float64 38kB ...\n",
       "    ion_particles       (source, time, ion, phony_dim_5) float64 38kB ...\n",
       "    ion_charge          (source, time, ion) float64 2kB ...\n",
       "    j_parallel          (source, time, rho_tor_norm) float64 384kB ...\n",
       "    momentum_tor        (source, time, phony_dim_5) float64 38kB ...\n",
       "    total_ion_energy    (source, time, rho_tor_norm) float64 384kB ...\n",
       "Attributes:\n",
       "    creation_date:            29/07/24\n",
       "    data_dictionary_version:  3.41.0\n",
       "    homogeneous_time:         1</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-c301ba91-158d-4264-a4b6-4a1cb9a3cc5e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c301ba91-158d-4264-a4b6-4a1cb9a3cc5e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>source</span>: 2</li><li><span class='xr-has-index'>time</span>: 120</li><li><span>rho_tor_norm</span>: 200</li><li><span>phony_dim_5</span>: 20</li><li><span>ion</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-357de562-9f83-4702-ab9c-502261a9dd11' class='xr-section-summary-in' type='checkbox'  checked><label for='section-357de562-9f83-4702-ab9c-502261a9dd11' 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>source</span></div><div class='xr-var-dims'>(source)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19b4fcb9-d47e-47f9-907a-fc9a50ec0bd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19b4fcb9-d47e-47f9-907a-fc9a50ec0bd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab88c7e-d0d4-4fbf-b520-7feb8097d320' class='xr-var-data-in' type='checkbox'><label for='data-2ab88c7e-d0d4-4fbf-b520-7feb8097d320' 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>IMAS_NAME :</span></dt><dd>source[]&amp;identifier&amp;name</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=&lt;U3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho_tor_norm</span></div><div class='xr-var-dims'>(source, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7938a666-ff96-41ac-a1a5-381da2bb1bef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7938a666-ff96-41ac-a1a5-381da2bb1bef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63cd256d-677f-4d23-8bbd-b8f4051727ba' class='xr-var-data-in' type='checkbox'><label for='data-63cd256d-677f-4d23-8bbd-b8f4051727ba' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;grid&amp;rho_tor_norm</dd></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ion</span></div><div class='xr-var-dims'>(source, time, ion)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ccd1dac-028f-4b28-a468-3ab69fd6425f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ccd1dac-028f-4b28-a468-3ab69fd6425f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c5c128-8b05-4bff-964e-34afd28b8693' class='xr-var-data-in' type='checkbox'><label for='data-32c5c128-8b05-4bff-964e-34afd28b8693' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;ion[]&amp;label</dd></dl></div><div class='xr-var-data'><pre>[240 values with dtype=&lt;U1]</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'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.05 2.1 2.15 ... 7.85 7.9 7.95</div><input id='attrs-4dec8d2f-09a6-4637-90c3-1f4081dcb602' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dec8d2f-09a6-4637-90c3-1f4081dcb602' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f3431ed-6cb4-46e1-896d-efe9171b96c7' class='xr-var-data-in' type='checkbox'><label for='data-7f3431ed-6cb4-46e1-896d-efe9171b96c7' 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>IMAS_NAME :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([2.0002, 2.0502, 2.1002, 2.1502, 2.2002, 2.2502, 2.3002, 2.3502, 2.4002,\n",
       "       2.4502, 2.5002, 2.5502, 2.6002, 2.6502, 2.7002, 2.7502, 2.8002, 2.8502,\n",
       "       2.9002, 2.9502, 3.0002, 3.0502, 3.1002, 3.1502, 3.2002, 3.2502, 3.3002,\n",
       "       3.3502, 3.4002, 3.4502, 3.5002, 3.5502, 3.6002, 3.6502, 3.7002, 3.7502,\n",
       "       3.8002, 3.8502, 3.9002, 3.9502, 4.0002, 4.0502, 4.1002, 4.1502, 4.2002,\n",
       "       4.2502, 4.3002, 4.3502, 4.4002, 4.4502, 4.5002, 4.5502, 4.6002, 4.6502,\n",
       "       4.7002, 4.7502, 4.8002, 4.8502, 4.9002, 4.9502, 5.0002, 5.0502, 5.1002,\n",
       "       5.1502, 5.2002, 5.2502, 5.3002, 5.3502, 5.4002, 5.4502, 5.5002, 5.5502,\n",
       "       5.6002, 5.6502, 5.7002, 5.7502, 5.8002, 5.8502, 5.9002, 5.9502, 6.0002,\n",
       "       6.0502, 6.1002, 6.1502, 6.2002, 6.2502, 6.3002, 6.3502, 6.4002, 6.4502,\n",
       "       6.5002, 6.5502, 6.6002, 6.6502, 6.7002, 6.7502, 6.8002, 6.8502, 6.9002,\n",
       "       6.9502, 7.0002, 7.0502, 7.1002, 7.1502, 7.2002, 7.2502, 7.3002, 7.3502,\n",
       "       7.4002, 7.4502, 7.5002, 7.5502, 7.6002, 7.6502, 7.7002, 7.7502, 7.8002,\n",
       "       7.8502, 7.9002, 7.9502])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b42e8ab-858b-4a21-8452-102ef3083025' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b42e8ab-858b-4a21-8452-102ef3083025' class='xr-section-summary' >Data variables: <span>(7)</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>electron_energy</span></div><div class='xr-var-dims'>(source, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13964b9f-c409-45b1-be58-d15a8ba6b8c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13964b9f-c409-45b1-be58-d15a8ba6b8c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5aaa32e-06f5-491a-8bdf-fb5fc4d469f9' class='xr-var-data-in' type='checkbox'><label for='data-c5aaa32e-06f5-491a-8bdf-fb5fc4d469f9' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;electrons&amp;energy</dd></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>electron_particles</span></div><div class='xr-var-dims'>(source, time, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20698c3d-7e33-4d48-93e4-f049c8466223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20698c3d-7e33-4d48-93e4-f049c8466223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8b7b2b1-b2d6-4662-a46f-7b79ba88b083' class='xr-var-data-in' type='checkbox'><label for='data-e8b7b2b1-b2d6-4662-a46f-7b79ba88b083' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;electrons&amp;particles</dd></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ion_particles</span></div><div class='xr-var-dims'>(source, time, ion, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3d08544-4a82-4355-9b57-7c55ecf511d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3d08544-4a82-4355-9b57-7c55ecf511d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afbe9496-cff8-4f49-aec3-3acc462d490d' class='xr-var-data-in' type='checkbox'><label for='data-afbe9496-cff8-4f49-aec3-3acc462d490d' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;ion[]&amp;particles</dd></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ion_charge</span></div><div class='xr-var-dims'>(source, time, ion)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b48e5b54-f328-479c-96b7-bfbc9cc4d869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b48e5b54-f328-479c-96b7-bfbc9cc4d869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e98494c8-b746-461f-b5ca-61d94fcc01e0' class='xr-var-data-in' type='checkbox'><label for='data-e98494c8-b746-461f-b5ca-61d94fcc01e0' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;ion[]&amp;z_ion</dd></dl></div><div class='xr-var-data'><pre>[240 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>j_parallel</span></div><div class='xr-var-dims'>(source, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03ee48d6-94d2-4dc4-abc6-38b7528e9e3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03ee48d6-94d2-4dc4-abc6-38b7528e9e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02fb117-1c5a-4151-a6e8-b950a719fd0c' class='xr-var-data-in' type='checkbox'><label for='data-e02fb117-1c5a-4151-a6e8-b950a719fd0c' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;j_parallel</dd></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>momentum_tor</span></div><div class='xr-var-dims'>(source, time, phony_dim_5)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa17e83f-0a45-4a6b-9d33-2b753e49839e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa17e83f-0a45-4a6b-9d33-2b753e49839e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-646ffac3-e886-40d2-8306-6fec71643321' class='xr-var-data-in' type='checkbox'><label for='data-646ffac3-e886-40d2-8306-6fec71643321' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;momentum_tor</dd></dl></div><div class='xr-var-data'><pre>[4800 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ion_energy</span></div><div class='xr-var-dims'>(source, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6782129-2fce-4e0e-80f1-26fd8d7601bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6782129-2fce-4e0e-80f1-26fd8d7601bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-707c4da8-8028-4fd9-8163-4d39373f933a' class='xr-var-data-in' type='checkbox'><label for='data-707c4da8-8028-4fd9-8163-4d39373f933a' 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>IMAS_NAME :</span></dt><dd>source[]&amp;profiles_1d[]&amp;total_ion_energy</dd></dl></div><div class='xr-var-data'><pre>[48000 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b5beb72-d026-4295-bc3e-374ce63d3669' class='xr-section-summary-in' type='checkbox'  ><label for='section-4b5beb72-d026-4295-bc3e-374ce63d3669' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6ca3efe-08d5-4355-b91e-aeb6a043eed8' class='xr-index-data-in' type='checkbox'/><label for='index-e6ca3efe-08d5-4355-b91e-aeb6a043eed8' 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([ 2.000200033187866,  2.050200033187866, 2.1002000331878663,\n",
       "        2.150200033187866, 2.2002000331878664,  2.250200033187866,\n",
       "        2.300200033187866, 2.3502000331878663,  2.400200033187866,\n",
       "       2.4502000331878664,\n",
       "       ...\n",
       "        7.500200033187866,  7.550200033187867,  7.600200033187867,\n",
       "        7.650200033187867,  7.700200033187866,  7.750200033187866,\n",
       "        7.800200033187867,  7.850200033187867,  7.900200033187867,\n",
       "        7.950200033187866],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=120))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f91383e-1502-4b2b-bc43-0fbb49cd1139' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f91383e-1502-4b2b-bc43-0fbb49cd1139' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>29/07/24</dd><dt><span>data_dictionary_version :</span></dt><dd>3.41.0</dd><dt><span>homogeneous_time :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2MB\n",
       "Dimensions:             (source: 2, time: 120, rho_tor_norm: 200,\n",
       "                         phony_dim_5: 20, ion: 1)\n",
       "Coordinates:\n",
       "    source              (source) <U3 24B ...\n",
       "    rho_tor_norm        (source, time, rho_tor_norm) float64 384kB ...\n",
       "    ion                 (source, time, ion) <U1 960B ...\n",
       "  * time                (time) float64 960B 2.0 2.05 2.1 2.15 ... 7.85 7.9 7.95\n",
       "Dimensions without coordinates: phony_dim_5\n",
       "Data variables:\n",
       "    electron_energy     (source, time, rho_tor_norm) float64 384kB ...\n",
       "    electron_particles  (source, time, phony_dim_5) float64 38kB ...\n",
       "    ion_particles       (source, time, ion, phony_dim_5) float64 38kB ...\n",
       "    ion_charge          (source, time, ion) float64 2kB ...\n",
       "    j_parallel          (source, time, rho_tor_norm) float64 384kB ...\n",
       "    momentum_tor        (source, time, phony_dim_5) float64 38kB ...\n",
       "    total_ion_energy    (source, time, rho_tor_norm) float64 384kB ...\n",
       "Attributes:\n",
       "    creation_date:            29/07/24\n",
       "    data_dictionary_version:  3.41.0\n",
       "    homogeneous_time:         1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources = (\n",
    "    core_sources.swap_dims(\n",
    "        {\n",
    "            core_sources[\"source[]&identifier&name\"].dims[0]: \"source\",\n",
    "            core_sources[\"time\"].dims[0]: \"time\",\n",
    "            core_sources[\"source[]&profiles_1d[]&ion[]&label\"].dims[-1]: \"ion\",\n",
    "            core_sources[\"source[]&profiles_1d[]&grid&rho_tor_norm\"].dims[-1]: \"rho_tor_norm\",\n",
    "        }\n",
    "    )\n",
    "    .set_coords(\n",
    "        [\n",
    "            \"source[]&identifier&name\",\n",
    "            \"source[]&profiles_1d[]&grid&rho_tor_norm\",\n",
    "            \"source[]&identifier&name\",\n",
    "            \"source[]&profiles_1d[]&ion[]&label\",\n",
    "        ]\n",
    "    )\n",
    "    .assign_attrs(\n",
    "        {\n",
    "            \"creation_date\": core_sources[\"ids_properties&creation_date\"].values,\n",
    "            \"data_dictionary_version\": core_sources[\"ids_properties&version_put&data_dictionary\"].values,\n",
    "            \"homogeneous_time\": core_sources[\"ids_properties&homogeneous_time\"].values,\n",
    "        }\n",
    "    )\n",
    "    .drop_vars(\n",
    "        [\n",
    "            \"ids_properties&creation_date\",\n",
    "            \"ids_properties&homogeneous_time\",\n",
    "            \"ids_properties&version_put&access_layer\",\n",
    "            \"ids_properties&version_put&access_layer_language\",\n",
    "            \"ids_properties&version_put&data_dictionary\",\n",
    "            \"source[]&identifier&index\",\n",
    "        ] + [variable for variable in list(core_sources.variables) if \"SHAPE\" in variable]\n",
    "    )\n",
    ")\n",
    "\n",
    "core_sources = (\n",
    "    add_variable_name_as_attribute(core_sources)\n",
    "    .rename_vars(\n",
    "        {\n",
    "            \"source[]&identifier&name\": \"source\",\n",
    "            \"source[]&profiles_1d[]&grid&rho_tor_norm\": \"rho_tor_norm\",\n",
    "            \"source[]&profiles_1d[]&electrons&energy\": \"electron_energy\",\n",
    "            \"source[]&profiles_1d[]&electrons&particles\": \"electron_particles\",\n",
    "            \"source[]&profiles_1d[]&ion[]&particles\": \"ion_particles\",\n",
    "            \"source[]&profiles_1d[]&j_parallel\": \"j_parallel\",\n",
    "            \"source[]&profiles_1d[]&momentum_tor\": \"momentum_tor\",\n",
    "            \"source[]&profiles_1d[]&total_ion_energy\": \"total_ion_energy\",\n",
    "            \"source[]&profiles_1d[]&ion[]&label\": \"ion\",\n",
    "            \"source[]&profiles_1d[]&ion[]&z_ion\": \"ion_charge\",\n",
    "        }\n",
    "    )\n",
    ")\n",
    "\n",
    "core_sources"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3a182c17-d742-4850-92e6-5e7da47121cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['nbi', 'ec'], dtype='<U3')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources.source.values\n",
    "# core_sources.ion.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "115f139a-51fe-4a18-96b5-7d1c946d48e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 120, 20)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources[\"electron_particles\"].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9c314c1f-00ff-48cc-81bc-2bbb0b62b3b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mpl_toolkits.mplot3d.art3d.Poly3DCollection at 0x1213cb710>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "core_sources[\"electron_particles\"].isel(source=0).plot.surface()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "85230da4-0761-4805-9d84-406c3c5fdf11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x121958260>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "core_sources[\"ion_particles\"].isel(source=0, ion=0)[0].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a021a3e5-521d-44aa-976d-21b0b98ebac2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 120, 200)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources.rho_tor_norm.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "71228cc9-1a01-4839-ab80-58a6b7fee583",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2.50000004e-02,  7.50000030e-02,  1.25000000e-01,  1.74999997e-01,\n",
       "        2.24999994e-01,  2.75000006e-01,  3.24999988e-01,  3.75000000e-01,\n",
       "        4.25000012e-01,  4.74999994e-01,  5.24999976e-01,  5.74999988e-01,\n",
       "        6.25000000e-01,  6.75000012e-01,  7.25000024e-01,  7.74999976e-01,\n",
       "        8.24999988e-01,  8.75000000e-01,  9.25000012e-01,  9.75000024e-01,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
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       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40,\n",
       "       -9.00000000e+40, -9.00000000e+40, -9.00000000e+40, -9.00000000e+40])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "core_sources.rho_tor_norm.isel(source=0)[0].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa59dc62-9851-46cc-bb61-22bb2cb2e701",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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