Lecture9-xarray.ipynb

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    "### **Xarray**\n",
    "\n",
    "Xarray is a Python package for working with labelled **multi-dimensional** arrays. Documentaion can be found [here](https://docs.xarray.dev/en/stable/index.html).\n",
    "\n",
    "Installation line from their site:\n",
    "\n",
    "```\n",
    "conda install -c conda-forge xarray\n",
    "```\n"
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    "import xarray as xr\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
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    "#### **Core data structures:**\n",
    "\n",
    "`DataArray` is an implementation of a labeled, N-dimensional array. It is an a generalization of a `pandas.Series`. \n",
    "\n",
    "Let's create it (start with a panda-like 2 dimensions):"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (x: 3, y: 4)&gt;\n",
       "array([[-0.29442391,  2.61563765, -1.25412533, -0.22337376],\n",
       "       [-0.07278954, -0.46834092,  0.73441011, -0.77698295],\n",
       "       [-1.92404144,  0.50473815,  1.50471506,  0.86108573]])\n",
       "Coordinates:\n",
       "  * x        (x) int64 10 20 30\n",
       "Dimensions without coordinates: y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-38cecff7-7c25-4fbe-9669-2c59aaf06d6b' class='xr-array-in' type='checkbox' checked><label for='section-38cecff7-7c25-4fbe-9669-2c59aaf06d6b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.2944 2.616 -1.254 -0.2234 -0.07279 ... -1.924 0.5047 1.505 0.8611</span></div><div class='xr-array-data'><pre>array([[-0.29442391,  2.61563765, -1.25412533, -0.22337376],\n",
       "       [-0.07278954, -0.46834092,  0.73441011, -0.77698295],\n",
       "       [-1.92404144,  0.50473815,  1.50471506,  0.86108573]])</pre></div></div></li><li class='xr-section-item'><input id='section-e4859630-4618-4804-8613-849667010f59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4859630-4618-4804-8613-849667010f59' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 20 30</div><input id='attrs-0e844ccf-fbc8-45ad-9d09-0f1f9a54eb3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e844ccf-fbc8-45ad-9d09-0f1f9a54eb3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0afe0234-701f-4901-82d3-1c060fcb3f10' class='xr-var-data-in' type='checkbox'><label for='data-0afe0234-701f-4901-82d3-1c060fcb3f10' 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>array([10, 20, 30])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b60d697-bd2f-4397-a696-60ef71a452fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b60d697-bd2f-4397-a696-60ef71a452fe' 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>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94918660-cbef-4f5a-b09b-8daeff864f1c' class='xr-index-data-in' type='checkbox'/><label for='index-94918660-cbef-4f5a-b09b-8daeff864f1c' 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([10, 20, 30], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39914b5f-04d9-4bb9-b5d6-368c0a831454' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39914b5f-04d9-4bb9-b5d6-368c0a831454' 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.DataArray (x: 3, y: 4)>\n",
       "array([[-0.29442391,  2.61563765, -1.25412533, -0.22337376],\n",
       "       [-0.07278954, -0.46834092,  0.73441011, -0.77698295],\n",
       "       [-1.92404144,  0.50473815,  1.50471506,  0.86108573]])\n",
       "Coordinates:\n",
       "  * x        (x) int64 10 20 30\n",
       "Dimensions without coordinates: y"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.DataArray(np.random.randn(3, 4), dims=(\"x\", \"y\"), coords={\"x\": [10, 20,30]})\n",
    "#print(data)\n",
    "data # <--- gives a much nices print in Jupyter"
   ]
  },
  {
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   "source": [
    "You can convert it to pandas:"
   ]
  },
  {
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   "execution_count": 3,
   "id": "1d32ec8d-7e46-40f1-a2bc-46a739923557",
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       "      <th>y</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-0.294424</td>\n",
       "      <td>2.615638</td>\n",
       "      <td>-1.254125</td>\n",
       "      <td>-0.223374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.072790</td>\n",
       "      <td>-0.468341</td>\n",
       "      <td>0.734410</td>\n",
       "      <td>-0.776983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-1.924041</td>\n",
       "      <td>0.504738</td>\n",
       "      <td>1.504715</td>\n",
       "      <td>0.861086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "y          0         1         2         3\n",
       "x                                         \n",
       "10 -0.294424  2.615638 -1.254125 -0.223374\n",
       "20 -0.072790 -0.468341  0.734410 -0.776983\n",
       "30 -1.924041  0.504738  1.504715  0.861086"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data.to_pandas()\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea6b3229-ad19-4b2a-b9e1-f46c9a3d3b26",
   "metadata": {},
   "source": [
    "Here we see that \"dims\" are labels for dimensions and \"coords\" are \"labels\" along the `x` axis. \n",
    "We can generate that directly from pandas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d68703aa-340e-4529-965f-7c4214233b3a",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (name: 11, dim_1: 4)&gt;\n",
       "array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])\n",
       "Coordinates:\n",
       "  * name     (name) object &#x27;Marie&#x27; &#x27;John&#x27; &#x27;Kati&#x27; ... &#x27;Pier&#x27; &#x27;Bennet&#x27; &#x27;Luis&#x27;\n",
       "  * dim_1    (dim_1) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>name</span>: 11</li><li><span class='xr-has-index'>dim_1</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3da70120-fe41-4a3e-a87d-634e72cf19eb' class='xr-array-in' type='checkbox' checked><label for='section-3da70120-fe41-4a3e-a87d-634e72cf19eb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>24 18 30 20 18 27 29 27 21 24 28 ... 29 23 26 24 25 26 30 20 20 18 18</span></div><div class='xr-array-data'><pre>array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])</pre></div></div></li><li class='xr-section-item'><input id='section-888928a1-e3ed-4567-a7f2-b3e7039a55f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-888928a1-e3ed-4567-a7f2-b3e7039a55f0' class='xr-section-summary' >Coordinates: <span>(2)</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'>name</span></div><div class='xr-var-dims'>(name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27; &#x27;John&#x27; ... &#x27;Bennet&#x27; &#x27;Luis&#x27;</div><input id='attrs-878d318c-0b34-4833-b478-73e5e443a6c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-878d318c-0b34-4833-b478-73e5e443a6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86a65ea7-771a-4c31-93a7-96ee50066498' class='xr-var-data-in' type='checkbox'><label for='data-86a65ea7-771a-4c31-93a7-96ee50066498' 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>array([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim_1</span></div><div class='xr-var-dims'>(dim_1)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-7a927f96-6b60-45b5-bb3b-88cdfdef2337' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a927f96-6b60-45b5-bb3b-88cdfdef2337' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f1c069-1919-47e6-a074-46bdb60e87f8' class='xr-var-data-in' type='checkbox'><label for='data-90f1c069-1919-47e6-a074-46bdb60e87f8' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02db4140-9c09-4450-9a36-2b7ab70d086f' class='xr-section-summary-in' type='checkbox'  ><label for='section-02db4140-9c09-4450-9a36-2b7ab70d086f' class='xr-section-summary' >Indexes: <span>(2)</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>name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b0ad201e-0d5c-4f96-81fc-468fff275c03' class='xr-index-data-in' type='checkbox'/><label for='index-b0ad201e-0d5c-4f96-81fc-468fff275c03' 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([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;name&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7279f7e1-9cb6-4352-ae67-2993625996d9' class='xr-index-data-in' type='checkbox'/><label for='index-7279f7e1-9cb6-4352-ae67-2993625996d9' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;dim_1&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ade86d3-d2e5-46c1-b75e-2dad3946fd20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ade86d3-d2e5-46c1-b75e-2dad3946fd20' 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.DataArray (name: 11, dim_1: 4)>\n",
       "array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])\n",
       "Coordinates:\n",
       "  * name     (name) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
       "  * dim_1    (dim_1) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/example.csv', index_col=0)\n",
    "#print(df)\n",
    "data=xr.DataArray(df)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d42960d2-f6ef-4dbd-9934-10a83fec2701",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('name', 'dim_1')\n",
      "Coordinates:\n",
      "  * name     (name) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
      "  * dim_1    (dim_1) object 'course1' 'course2' 'course3' 'course4'\n"
     ]
    }
   ],
   "source": [
    "print(data.dims)\n",
    "print(data.coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d9fde5f7-e4a8-47da-afce-5de3bef25921",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</svg>\n",
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       "\n",
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
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       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
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       "  padding-left: 0.5em;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
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       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
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       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  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",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
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       "\n",
       ".xr-dim-list {\n",
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       "  list-style: none;\n",
       "  padding: 0 !important;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
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       ".xr-dim-list:before {\n",
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       "\n",
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       "\n",
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       "\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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
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       "\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",
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       "\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.DataArray (pname: 11, course: 4)&gt;\n",
       "array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object &#x27;Marie&#x27; &#x27;John&#x27; &#x27;Kati&#x27; ... &#x27;Pier&#x27; &#x27;Bennet&#x27; &#x27;Luis&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>pname</span>: 11</li><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4a4314c6-6394-40e1-b5e1-9f6dc4228c51' class='xr-array-in' type='checkbox' checked><label for='section-4a4314c6-6394-40e1-b5e1-9f6dc4228c51' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>24 18 30 20 18 27 29 27 21 24 28 ... 29 23 26 24 25 26 30 20 20 18 18</span></div><div class='xr-array-data'><pre>array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])</pre></div></div></li><li class='xr-section-item'><input id='section-eb702a76-af9c-4841-ad75-b0f4d2df406c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb702a76-af9c-4841-ad75-b0f4d2df406c' class='xr-section-summary' >Coordinates: <span>(2)</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'>pname</span></div><div class='xr-var-dims'>(pname)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27; &#x27;John&#x27; ... &#x27;Bennet&#x27; &#x27;Luis&#x27;</div><input id='attrs-237fe373-516a-443b-8aeb-1cc8a009eaa2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-237fe373-516a-443b-8aeb-1cc8a009eaa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae39eed2-0f23-437f-b020-e78d663cc0a5' class='xr-var-data-in' type='checkbox'><label for='data-ae39eed2-0f23-437f-b020-e78d663cc0a5' 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>array([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-02e10c28-85c0-4790-9f72-78c60889d962' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02e10c28-85c0-4790-9f72-78c60889d962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76d473fb-30d9-4627-aa6d-f9cf39bbb317' class='xr-var-data-in' type='checkbox'><label for='data-76d473fb-30d9-4627-aa6d-f9cf39bbb317' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05ef7653-250b-4277-bcf3-199cb5976b7a' class='xr-section-summary-in' type='checkbox'  ><label for='section-05ef7653-250b-4277-bcf3-199cb5976b7a' class='xr-section-summary' >Indexes: <span>(2)</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>pname</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a0c86cd1-eca5-4587-89a4-29f15d86ad58' class='xr-index-data-in' type='checkbox'/><label for='index-a0c86cd1-eca5-4587-89a4-29f15d86ad58' 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([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;pname&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ddc0ab38-62e4-48ff-a0a5-5dd1a48bf237' class='xr-index-data-in' type='checkbox'/><label for='index-ddc0ab38-62e4-48ff-a0a5-5dd1a48bf237' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-889bd645-f89a-4de0-898b-5bcf6cb3596c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-889bd645-f89a-4de0-898b-5bcf6cb3596c' 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.DataArray (pname: 11, course: 4)>\n",
       "array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#there seems to not be an inplace option for this, \n",
    "#so if you work on a big dataset, time to see if this takes too long\n",
    "data=data.rename({\"dim_1\":\"course\", \"name\":\"pname\"})\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbf42389-f180-40f9-ad41-e79f44ea135a",
   "metadata": {},
   "source": [
    "Accessing data:\n",
    "\n",
    "positional, like numpy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "33d74554-1e89-47d1-aa71-331fb65568f2",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
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       ".xr-attrs dd {\n",
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       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (course: 4)&gt;\n",
       "array([24, 18, 30, 20])\n",
       "Coordinates:\n",
       "    pname    &lt;U5 &#x27;Marie&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8c979377-4486-453f-a0e8-04c8af25efb0' class='xr-array-in' type='checkbox' checked><label for='section-8c979377-4486-453f-a0e8-04c8af25efb0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>24 18 30 20</span></div><div class='xr-array-data'><pre>array([24, 18, 30, 20])</pre></div></div></li><li class='xr-section-item'><input id='section-77853e6c-df99-410b-86b9-101f9faa80d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77853e6c-df99-410b-86b9-101f9faa80d1' class='xr-section-summary' >Coordinates: <span>(2)</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>pname</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27;</div><input id='attrs-18a63b27-3e07-467e-8a71-eb9d5cd8348a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18a63b27-3e07-467e-8a71-eb9d5cd8348a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29de21de-96f3-41d8-bec1-0742e8d2fd55' class='xr-var-data-in' type='checkbox'><label for='data-29de21de-96f3-41d8-bec1-0742e8d2fd55' 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>array(&#x27;Marie&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-3249aab5-9092-4240-a087-9b4c5f7dbbb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3249aab5-9092-4240-a087-9b4c5f7dbbb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c7bca00-f863-46b5-8ba9-c84525bd0c06' class='xr-var-data-in' type='checkbox'><label for='data-2c7bca00-f863-46b5-8ba9-c84525bd0c06' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-378de792-3a5d-4a18-aeff-60b78d4788cf' class='xr-section-summary-in' type='checkbox'  ><label for='section-378de792-3a5d-4a18-aeff-60b78d4788cf' 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>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d392006-9e0d-4bc2-831e-93ff28713dbe' class='xr-index-data-in' type='checkbox'/><label for='index-1d392006-9e0d-4bc2-831e-93ff28713dbe' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e2baa4f-fe4c-486f-9f2a-0ae898d90cbd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e2baa4f-fe4c-486f-9f2a-0ae898d90cbd' 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.DataArray (course: 4)>\n",
       "array([24, 18, 30, 20])\n",
       "Coordinates:\n",
       "    pname    <U5 'Marie'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0, :]"
   ]
  },
  {
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   "execution_count": 8,
   "id": "29473b11-1610-42f4-a8c0-f4f16e8e50d0",
   "metadata": {},
   "outputs": [
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       "Coordinates:\n",
       "    pname    &lt;U5 &#x27;Marie&#x27;\n",
       "    course   &lt;U7 &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7992c366-b632-4b7a-abaf-d72eeb015437' class='xr-array-in' type='checkbox' checked><label for='section-7992c366-b632-4b7a-abaf-d72eeb015437' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>20</span></div><div class='xr-array-data'><pre>array(20)</pre></div></div></li><li class='xr-section-item'><input id='section-e88dba41-8584-47bb-b95d-28f8e3ad7c14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e88dba41-8584-47bb-b95d-28f8e3ad7c14' class='xr-section-summary' >Coordinates: <span>(2)</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>pname</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27;</div><input id='attrs-c0a08bd9-ff79-4d23-9d11-fea12a0dd8d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0a08bd9-ff79-4d23-9d11-fea12a0dd8d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebbd7e3b-1599-4114-950e-b8f1e8a7f7cd' class='xr-var-data-in' type='checkbox'><label for='data-ebbd7e3b-1599-4114-950e-b8f1e8a7f7cd' 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>array(&#x27;Marie&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>course</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;course4&#x27;</div><input id='attrs-a62d8da8-7ad3-4be9-9d59-88477f858a98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a62d8da8-7ad3-4be9-9d59-88477f858a98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b8f2567-d80c-4cf5-856a-705f8c2d78a6' class='xr-var-data-in' type='checkbox'><label for='data-5b8f2567-d80c-4cf5-856a-705f8c2d78a6' 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>array(&#x27;course4&#x27;, dtype=&#x27;&lt;U7&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f9d4ed5-e3e6-4f62-b90b-971873a3b310' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f9d4ed5-e3e6-4f62-b90b-971873a3b310' 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-7aa04aa8-eec7-4b85-a19a-02f8881ac74b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7aa04aa8-eec7-4b85-a19a-02f8881ac74b' 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.DataArray ()>\n",
       "array(20)\n",
       "Coordinates:\n",
       "    pname    <U5 'Marie'\n",
       "    course   <U7 'course4'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
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  {
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    "\"location\": positional and coordinate label, like pandas:"
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  {
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   "id": "5e19a1e5-3bf7-4eae-bae3-9524966428d8",
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       "Coordinates:\n",
       "    pname    &lt;U5 &#x27;Marie&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-314dff04-1066-4dd5-9747-3457ad33c7b9' class='xr-array-in' type='checkbox' checked><label for='section-314dff04-1066-4dd5-9747-3457ad33c7b9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>24 18 30 20</span></div><div class='xr-array-data'><pre>array([24, 18, 30, 20])</pre></div></div></li><li class='xr-section-item'><input id='section-0207980e-2e19-4f45-a693-5b47a4518f38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0207980e-2e19-4f45-a693-5b47a4518f38' class='xr-section-summary' >Coordinates: <span>(2)</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>pname</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27;</div><input id='attrs-a7d6cdfe-ae7e-451a-b8c7-e8bdc5f938a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7d6cdfe-ae7e-451a-b8c7-e8bdc5f938a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-938c76dd-359a-4474-add3-698d41f0249f' class='xr-var-data-in' type='checkbox'><label for='data-938c76dd-359a-4474-add3-698d41f0249f' 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>array(&#x27;Marie&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-90cf9188-05e3-4082-b37e-9820fee81f4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90cf9188-05e3-4082-b37e-9820fee81f4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffc154fd-e320-49a8-8a94-edc7f908201c' class='xr-var-data-in' type='checkbox'><label for='data-ffc154fd-e320-49a8-8a94-edc7f908201c' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05ce6ffd-a891-4682-94b2-e02f2213bff3' class='xr-section-summary-in' type='checkbox'  ><label for='section-05ce6ffd-a891-4682-94b2-e02f2213bff3' 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>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1ba961f-7ee5-466d-a390-2190bf49f5bc' class='xr-index-data-in' type='checkbox'/><label for='index-a1ba961f-7ee5-466d-a390-2190bf49f5bc' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f977821e-c4ed-458f-9f78-48f5b56e877f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f977821e-c4ed-458f-9f78-48f5b56e877f' 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.DataArray (course: 4)>\n",
       "array([24, 18, 30, 20])\n",
       "Coordinates:\n",
       "    pname    <U5 'Marie'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[\"Marie\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45c0d171-b42e-4357-98cd-054230d50cec",
   "metadata": {},
   "source": [
    "isel (\"integer select\") :  by dimension name and integer label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4e03c092-9ab4-42aa-9821-93d142015216",
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   "outputs": [
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       "Coordinates:\n",
       "    pname    &lt;U4 &#x27;Kati&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0ec9a653-417c-4783-a63f-2ba7133becac' class='xr-array-in' type='checkbox' checked><label for='section-0ec9a653-417c-4783-a63f-2ba7133becac' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>21 24 28 27</span></div><div class='xr-array-data'><pre>array([21, 24, 28, 27])</pre></div></div></li><li class='xr-section-item'><input id='section-cc9e41c7-03d5-4cb8-8d91-9376df1aa723' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc9e41c7-03d5-4cb8-8d91-9376df1aa723' class='xr-section-summary' >Coordinates: <span>(2)</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>pname</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;Kati&#x27;</div><input id='attrs-0e634b7d-3b6e-4b74-84e4-97e067a90a01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e634b7d-3b6e-4b74-84e4-97e067a90a01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae07c65-92c4-48a7-9f32-96d9df1252a2' class='xr-var-data-in' type='checkbox'><label for='data-dae07c65-92c4-48a7-9f32-96d9df1252a2' 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>array(&#x27;Kati&#x27;, dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-b64a99df-930f-40c7-b866-d3fc1fabb2e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b64a99df-930f-40c7-b866-d3fc1fabb2e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-490412bd-edda-420c-bf7e-bd85f74f9239' class='xr-var-data-in' type='checkbox'><label for='data-490412bd-edda-420c-bf7e-bd85f74f9239' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23cf2f4b-3665-4a63-b886-118a56ab2197' class='xr-section-summary-in' type='checkbox'  ><label for='section-23cf2f4b-3665-4a63-b886-118a56ab2197' 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>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-670a9fc1-b725-43f4-b0d7-ce71d5c763f5' class='xr-index-data-in' type='checkbox'/><label for='index-670a9fc1-b725-43f4-b0d7-ce71d5c763f5' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e6f3e83-953d-4984-981f-ec0ab3c562b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e6f3e83-953d-4984-981f-ec0ab3c562b8' 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.DataArray (course: 4)>\n",
       "array([21, 24, 28, 27])\n",
       "Coordinates:\n",
       "    pname    <U4 'Kati'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#note how here you don't use quotes for names of dimensions\n",
    "#they are treated like variable names instead\n",
    "#this might be confusing\n",
    "data.isel(pname=2) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92db50cf-bf1b-4309-b629-7aa771ac125a",
   "metadata": {},
   "source": [
    "In fact, this is actually a variable name, and this is why we named \"name\" to \"pname\" - it would clash with the \"name of the array\" otherwise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fdefe288-8d54-46ac-af3e-03f22f407469",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'pname' (pname: 11)>\n",
      "array(['Marie', 'John', 'Kati', 'Olaf', 'Mark', 'Olga', 'Jean', 'Alex', 'Pier',\n",
      "       'Bennet', 'Luis'], dtype=object)\n",
      "Coordinates:\n",
      "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
      "<xarray.DataArray 'course' (course: 4)>\n",
      "array(['course1', 'course2', 'course3', 'course4'], dtype=object)\n",
      "Coordinates:\n",
      "  * course   (course) object 'course1' 'course2' 'course3' 'course4'\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(data.pname)\n",
    "print(data.course)\n",
    "print(data.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92d38923-59a8-4c74-a1a3-004a17f31111",
   "metadata": {},
   "source": [
    "sel: by dimension name and coordinate label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c1c5265e-9b97-4902-9b1e-6d61cd023a98",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (course: 4)&gt;\n",
       "array([24, 18, 30, 20])\n",
       "Coordinates:\n",
       "    pname    &lt;U5 &#x27;Marie&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-31d80498-babf-4038-8ab9-65a4c57cb57c' class='xr-array-in' type='checkbox' checked><label for='section-31d80498-babf-4038-8ab9-65a4c57cb57c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>24 18 30 20</span></div><div class='xr-array-data'><pre>array([24, 18, 30, 20])</pre></div></div></li><li class='xr-section-item'><input id='section-466c5fb1-a248-4dd0-bb91-c593295adcff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-466c5fb1-a248-4dd0-bb91-c593295adcff' class='xr-section-summary' >Coordinates: <span>(2)</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>pname</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27;</div><input id='attrs-13eef3a9-907a-4988-9c57-ce9efa6b7769' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13eef3a9-907a-4988-9c57-ce9efa6b7769' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64b9ce71-086f-42a6-851b-c5d1194d778b' class='xr-var-data-in' type='checkbox'><label for='data-64b9ce71-086f-42a6-851b-c5d1194d778b' 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>array(&#x27;Marie&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-82105311-0956-4ce4-b2a7-cdfed331ea0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82105311-0956-4ce4-b2a7-cdfed331ea0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce29b52b-0df9-4444-851c-f0358254936e' class='xr-var-data-in' type='checkbox'><label for='data-ce29b52b-0df9-4444-851c-f0358254936e' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d5da8f0-8804-4bf4-9448-a7376508c842' class='xr-section-summary-in' type='checkbox'  ><label for='section-2d5da8f0-8804-4bf4-9448-a7376508c842' 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>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97b0fd21-d77c-4bf2-8ec9-bec8bfd5cd5c' class='xr-index-data-in' type='checkbox'/><label for='index-97b0fd21-d77c-4bf2-8ec9-bec8bfd5cd5c' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-537b48e3-b57c-428a-b7eb-913d2b698d30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-537b48e3-b57c-428a-b7eb-913d2b698d30' 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.DataArray (course: 4)>\n",
       "array([24, 18, 30, 20])\n",
       "Coordinates:\n",
       "    pname    <U5 'Marie'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sel(pname=\"Marie\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8e31307-bde8-46fe-b264-187a9120dcc3",
   "metadata": {},
   "source": [
    "There are also \"attributes\" of the array that you can set (to store \"meta data\"):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c9e951e1-e8c7-4006-8b74-bba548d91a4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'long_name': 'those are courses',\n",
       " 'units': 'they are grades out of 30',\n",
       " 'description': 'random fake grades data',\n",
       " 'random_attribute': 123}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.attrs[\"long_name\"] = \"those are courses\"\n",
    "\n",
    "data.attrs[\"units\"] = \"they are grades out of 30\"\n",
    "\n",
    "data.attrs[\"description\"] = \"random fake grades data\"\n",
    "\n",
    "data.attrs[\"random_attribute\"] = 123\n",
    "\n",
    "data.attrs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0d39381-1572-4aca-8c6c-96da65a89998",
   "metadata": {},
   "source": [
    "#### **Computations:**\n",
    "\n",
    "(here we go with nonsense operations on grades again)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "367e69d9-9f58-4c26-9fd3-fb82830a65b8",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (pname: 11, course: 4)&gt;\n",
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       "       [40, 40, 39, 40],\n",
       "       [34, 35, 37, 31],\n",
       "       [33, 36, 40, 40],\n",
       "       [28, 38, 36, 34],\n",
       "       [29, 30, 37, 37],\n",
       "       [34, 39, 33, 36],\n",
       "       [34, 35, 36, 40],\n",
       "       [30, 30, 28, 28]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object &#x27;Marie&#x27; &#x27;John&#x27; &#x27;Kati&#x27; ... &#x27;Pier&#x27; &#x27;Bennet&#x27; &#x27;Luis&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>pname</span>: 11</li><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e867d65e-9105-40de-a27c-09e6e32552ec' class='xr-array-in' type='checkbox' checked><label for='section-e867d65e-9105-40de-a27c-09e6e32552ec' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>34 28 40 30 28 37 39 37 31 34 38 ... 39 33 36 34 35 36 40 30 30 28 28</span></div><div class='xr-array-data'><pre>array([[34, 28, 40, 30],\n",
       "       [28, 37, 39, 37],\n",
       "       [31, 34, 38, 37],\n",
       "       [40, 40, 39, 40],\n",
       "       [34, 35, 37, 31],\n",
       "       [33, 36, 40, 40],\n",
       "       [28, 38, 36, 34],\n",
       "       [29, 30, 37, 37],\n",
       "       [34, 39, 33, 36],\n",
       "       [34, 35, 36, 40],\n",
       "       [30, 30, 28, 28]])</pre></div></div></li><li class='xr-section-item'><input id='section-0ea7147e-ac6a-42c1-9a4d-3e707775c344' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ea7147e-ac6a-42c1-9a4d-3e707775c344' class='xr-section-summary' >Coordinates: <span>(2)</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'>pname</span></div><div class='xr-var-dims'>(pname)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27; &#x27;John&#x27; ... &#x27;Bennet&#x27; &#x27;Luis&#x27;</div><input id='attrs-66b321e9-3f7a-4e78-9b2a-d9f67ca898a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66b321e9-3f7a-4e78-9b2a-d9f67ca898a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c26519d-a6d7-4722-a97a-951e7ac88ee6' class='xr-var-data-in' type='checkbox'><label for='data-8c26519d-a6d7-4722-a97a-951e7ac88ee6' 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>array([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-9f3a36b0-57e6-4f29-a674-39769aa13ecb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f3a36b0-57e6-4f29-a674-39769aa13ecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a67d7b96-e9f8-4f7a-9621-0dedee42bf8f' class='xr-var-data-in' type='checkbox'><label for='data-a67d7b96-e9f8-4f7a-9621-0dedee42bf8f' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-409212d1-0a47-4c21-ab17-b92932b91954' class='xr-section-summary-in' type='checkbox'  ><label for='section-409212d1-0a47-4c21-ab17-b92932b91954' class='xr-section-summary' >Indexes: <span>(2)</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>pname</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6330efa8-4e76-4940-8a5a-61e6f0cf13a4' class='xr-index-data-in' type='checkbox'/><label for='index-6330efa8-4e76-4940-8a5a-61e6f0cf13a4' 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([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;pname&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e209c7db-536a-45c9-8619-21a2a4990c20' class='xr-index-data-in' type='checkbox'/><label for='index-e209c7db-536a-45c9-8619-21a2a4990c20' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88f15b8c-1caa-4025-a3ac-9d6c9f1a2ff4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88f15b8c-1caa-4025-a3ac-9d6c9f1a2ff4' 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>"
      ],
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       "<xarray.DataArray (pname: 11, course: 4)>\n",
       "array([[34, 28, 40, 30],\n",
       "       [28, 37, 39, 37],\n",
       "       [31, 34, 38, 37],\n",
       "       [40, 40, 39, 40],\n",
       "       [34, 35, 37, 31],\n",
       "       [33, 36, 40, 40],\n",
       "       [28, 38, 36, 34],\n",
       "       [29, 30, 37, 37],\n",
       "       [34, 39, 33, 36],\n",
       "       [34, 35, 36, 40],\n",
       "       [30, 30, 28, 28]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data + 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "60b9d087-6a61-40dd-a306-1761640d2daf",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".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.DataArray (pname: 11, course: 4)&gt;\n",
       "array([[-0.90557836, -0.75098725, -0.98803162,  0.91294525],\n",
       "       [-0.75098725,  0.95637593, -0.66363388,  0.95637593],\n",
       "       [ 0.83665564, -0.90557836,  0.27090579,  0.95637593],\n",
       "       [-0.98803162, -0.98803162, -0.66363388, -0.98803162],\n",
       "       [-0.90557836, -0.13235175,  0.95637593,  0.83665564],\n",
       "       [-0.8462204 ,  0.76255845, -0.98803162, -0.98803162],\n",
       "       [-0.75098725,  0.27090579,  0.76255845, -0.90557836],\n",
       "       [ 0.14987721,  0.91294525,  0.95637593,  0.95637593],\n",
       "       [-0.90557836, -0.66363388, -0.8462204 ,  0.76255845],\n",
       "       [-0.90557836, -0.13235175,  0.76255845, -0.98803162],\n",
       "       [ 0.91294525,  0.91294525, -0.75098725, -0.75098725]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object &#x27;Marie&#x27; &#x27;John&#x27; &#x27;Kati&#x27; ... &#x27;Pier&#x27; &#x27;Bennet&#x27; &#x27;Luis&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;\n",
       "Attributes:\n",
       "    long_name:         those are courses\n",
       "    units:             they are grades out of 30\n",
       "    description:       random fake grades data\n",
       "    random_attribute:  123</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>pname</span>: 11</li><li><span class='xr-has-index'>course</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-45156377-38fa-4d2c-8d85-117185b05b44' class='xr-array-in' type='checkbox' checked><label for='section-45156377-38fa-4d2c-8d85-117185b05b44' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.9056 -0.751 -0.988 0.9129 -0.751 ... 0.9129 0.9129 -0.751 -0.751</span></div><div class='xr-array-data'><pre>array([[-0.90557836, -0.75098725, -0.98803162,  0.91294525],\n",
       "       [-0.75098725,  0.95637593, -0.66363388,  0.95637593],\n",
       "       [ 0.83665564, -0.90557836,  0.27090579,  0.95637593],\n",
       "       [-0.98803162, -0.98803162, -0.66363388, -0.98803162],\n",
       "       [-0.90557836, -0.13235175,  0.95637593,  0.83665564],\n",
       "       [-0.8462204 ,  0.76255845, -0.98803162, -0.98803162],\n",
       "       [-0.75098725,  0.27090579,  0.76255845, -0.90557836],\n",
       "       [ 0.14987721,  0.91294525,  0.95637593,  0.95637593],\n",
       "       [-0.90557836, -0.66363388, -0.8462204 ,  0.76255845],\n",
       "       [-0.90557836, -0.13235175,  0.76255845, -0.98803162],\n",
       "       [ 0.91294525,  0.91294525, -0.75098725, -0.75098725]])</pre></div></div></li><li class='xr-section-item'><input id='section-a2f3fb60-979b-484e-98a8-3a188dce2552' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2f3fb60-979b-484e-98a8-3a188dce2552' class='xr-section-summary' >Coordinates: <span>(2)</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'>pname</span></div><div class='xr-var-dims'>(pname)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27; &#x27;John&#x27; ... &#x27;Bennet&#x27; &#x27;Luis&#x27;</div><input id='attrs-381ad195-b6ff-4ba0-918c-7ccd266ddb9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-381ad195-b6ff-4ba0-918c-7ccd266ddb9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16149beb-8ceb-4407-9259-321ec80b2d2f' class='xr-var-data-in' type='checkbox'><label for='data-16149beb-8ceb-4407-9259-321ec80b2d2f' 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>array([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-81bf2edf-b82a-47c0-8a28-bc9697554b17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81bf2edf-b82a-47c0-8a28-bc9697554b17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3234ffe2-2a3a-46ce-8296-c9200ac72844' class='xr-var-data-in' type='checkbox'><label for='data-3234ffe2-2a3a-46ce-8296-c9200ac72844' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dda62bac-ad10-4ff6-a8d8-f1f4a188ac98' class='xr-section-summary-in' type='checkbox'  ><label for='section-dda62bac-ad10-4ff6-a8d8-f1f4a188ac98' class='xr-section-summary' >Indexes: <span>(2)</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>pname</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1c1da988-652b-4367-8631-d6b435f09705' class='xr-index-data-in' type='checkbox'/><label for='index-1c1da988-652b-4367-8631-d6b435f09705' 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([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;pname&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-98aefb30-6fe5-4467-b249-0e71b65d7164' class='xr-index-data-in' type='checkbox'/><label for='index-98aefb30-6fe5-4467-b249-0e71b65d7164' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-206895bd-dbc1-4ae0-b056-2320004fc23f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-206895bd-dbc1-4ae0-b056-2320004fc23f' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>those are courses</dd><dt><span>units :</span></dt><dd>they are grades out of 30</dd><dt><span>description :</span></dt><dd>random fake grades data</dd><dt><span>random_attribute :</span></dt><dd>123</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (pname: 11, course: 4)>\n",
       "array([[-0.90557836, -0.75098725, -0.98803162,  0.91294525],\n",
       "       [-0.75098725,  0.95637593, -0.66363388,  0.95637593],\n",
       "       [ 0.83665564, -0.90557836,  0.27090579,  0.95637593],\n",
       "       [-0.98803162, -0.98803162, -0.66363388, -0.98803162],\n",
       "       [-0.90557836, -0.13235175,  0.95637593,  0.83665564],\n",
       "       [-0.8462204 ,  0.76255845, -0.98803162, -0.98803162],\n",
       "       [-0.75098725,  0.27090579,  0.76255845, -0.90557836],\n",
       "       [ 0.14987721,  0.91294525,  0.95637593,  0.95637593],\n",
       "       [-0.90557836, -0.66363388, -0.8462204 ,  0.76255845],\n",
       "       [-0.90557836, -0.13235175,  0.76255845, -0.98803162],\n",
       "       [ 0.91294525,  0.91294525, -0.75098725, -0.75098725]])\n",
       "Coordinates:\n",
       "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'\n",
       "Attributes:\n",
       "    long_name:         those are courses\n",
       "    units:             they are grades out of 30\n",
       "    description:       random fake grades data\n",
       "    random_attribute:  123"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sin(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "020224d5-024b-4fb2-a9f3-af9cc0be8cb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray ()>\n",
      "array(1090)\n",
      "<xarray.DataArray (pname: 11)>\n",
      "array([ 92, 101, 100, 119,  97, 109,  96,  93, 102, 105,  76])\n",
      "Coordinates:\n",
      "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
      "<xarray.DataArray (course: 4)>\n",
      "array([22.27272727, 24.72727273, 26.63636364, 25.45454545])\n",
      "Coordinates:\n",
      "  * course   (course) object 'course1' 'course2' 'course3' 'course4'\n",
      "<xarray.DataArray (pname: 11)>\n",
      "array([23.  , 25.25, 25.  , 29.75, 24.25, 27.25, 24.  , 23.25, 25.5 ,\n",
      "       26.25, 19.  ])\n",
      "Coordinates:\n",
      "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n"
     ]
    }
   ],
   "source": [
    "#help(data)\n",
    "print(data.sum())\n",
    "print(data.sum(axis=1))\n",
    "print(data.mean(axis=0))\n",
    "print(data.mean(dim=\"course\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7032075a-5ea1-4e52-99db-793b72992ad4",
   "metadata": {},
   "source": [
    "#### **Plotting:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e6d91a87-b9d9-45af-827e-e05a664bd403",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'This is a title')"
      ]
     },
     "execution_count": 17,
     "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": [
    "#if the data makes sense to just plot, it can be done with just \"plot\"\n",
    "#labels are taken from attributes, you can overwite with matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "data[2:].plot.hist()\n",
    "plt.title(\"This is a title\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9de50e4d-dec4-41cb-b77b-396a39730d86",
   "metadata": {},
   "source": [
    "[Documentaion](https://docs.xarray.dev/en/stable/user-guide/plotting.html#plotting) for plotting says you always need `import matplotlib.pyplot as plt`, but it seems to work fine for me without doing that if you are not making modifications to the default picture. That link also has a lot of plotting examples you might want to use if you work with complicated data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c177b599-9745-49a5-a807-68d53c0f1b54",
   "metadata": {},
   "source": [
    "### **DataSets:**\n",
    "\n",
    "DataSet is a dict-like container of DataArray objects aligned along any number of shared dimensions, and serves a similar purpose in xarray to the pandas.DataFrame.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ce0a9579-3430-4de3-afac-cd4808f51e03",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  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;\n",
       "Dimensions:  (pname: 11, course: 4)\n",
       "Coordinates:\n",
       "  * pname    (pname) object &#x27;Marie&#x27; &#x27;John&#x27; &#x27;Kati&#x27; ... &#x27;Pier&#x27; &#x27;Bennet&#x27; &#x27;Luis&#x27;\n",
       "  * course   (course) object &#x27;course1&#x27; &#x27;course2&#x27; &#x27;course3&#x27; &#x27;course4&#x27;\n",
       "Data variables:\n",
       "    grades   (pname, course) int64 24 18 30 20 18 27 29 ... 25 26 30 20 20 18 18</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-2a2457a8-a22a-44e0-b85c-2be69c01d98b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a2457a8-a22a-44e0-b85c-2be69c01d98b' 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'>pname</span>: 11</li><li><span class='xr-has-index'>course</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ec8eeac3-091d-4c4a-a065-e4c850dba130' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec8eeac3-091d-4c4a-a065-e4c850dba130' class='xr-section-summary' >Coordinates: <span>(2)</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'>pname</span></div><div class='xr-var-dims'>(pname)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Marie&#x27; &#x27;John&#x27; ... &#x27;Bennet&#x27; &#x27;Luis&#x27;</div><input id='attrs-0cd5ac45-a242-4ddc-b7d4-75f68d762487' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0cd5ac45-a242-4ddc-b7d4-75f68d762487' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2be2f8ce-ed0f-4c66-802d-db4cb88ceea0' class='xr-var-data-in' type='checkbox'><label for='data-2be2f8ce-ed0f-4c66-802d-db4cb88ceea0' 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>array([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>course</span></div><div class='xr-var-dims'>(course)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;course1&#x27; &#x27;course2&#x27; ... &#x27;course4&#x27;</div><input id='attrs-1a76aa7c-121f-4860-bc56-305499e9518a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a76aa7c-121f-4860-bc56-305499e9518a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb45a04-248a-4635-a369-dd42ed7186b0' class='xr-var-data-in' type='checkbox'><label for='data-5bb45a04-248a-4635-a369-dd42ed7186b0' 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>array([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c93a75b8-c532-4431-a784-bea7b7379e54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c93a75b8-c532-4431-a784-bea7b7379e54' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>grades</span></div><div class='xr-var-dims'>(pname, course)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>24 18 30 20 18 ... 30 20 20 18 18</div><input id='attrs-a2e2484d-648d-4928-8b42-b2645495d2be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2e2484d-648d-4928-8b42-b2645495d2be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-065339c1-88dc-4036-a39c-208302d4592a' class='xr-var-data-in' type='checkbox'><label for='data-065339c1-88dc-4036-a39c-208302d4592a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>those are courses</dd><dt><span>units :</span></dt><dd>they are grades out of 30</dd><dt><span>description :</span></dt><dd>random fake grades data</dd><dt><span>random_attribute :</span></dt><dd>123</dd></dl></div><div class='xr-var-data'><pre>array([[24, 18, 30, 20],\n",
       "       [18, 27, 29, 27],\n",
       "       [21, 24, 28, 27],\n",
       "       [30, 30, 29, 30],\n",
       "       [24, 25, 27, 21],\n",
       "       [23, 26, 30, 30],\n",
       "       [18, 28, 26, 24],\n",
       "       [19, 20, 27, 27],\n",
       "       [24, 29, 23, 26],\n",
       "       [24, 25, 26, 30],\n",
       "       [20, 20, 18, 18]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28e2d304-0afb-4cbf-81f6-eec259e155e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-28e2d304-0afb-4cbf-81f6-eec259e155e0' class='xr-section-summary' >Indexes: <span>(2)</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>pname</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-65e37a64-31ee-41b7-80da-531bbe0e79fa' class='xr-index-data-in' type='checkbox'/><label for='index-65e37a64-31ee-41b7-80da-531bbe0e79fa' 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([&#x27;Marie&#x27;, &#x27;John&#x27;, &#x27;Kati&#x27;, &#x27;Olaf&#x27;, &#x27;Mark&#x27;, &#x27;Olga&#x27;, &#x27;Jean&#x27;, &#x27;Alex&#x27;, &#x27;Pier&#x27;,\n",
       "       &#x27;Bennet&#x27;, &#x27;Luis&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;pname&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>course</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-566c261a-60a2-4985-9d4e-28937e99b0a7' class='xr-index-data-in' type='checkbox'/><label for='index-566c261a-60a2-4985-9d4e-28937e99b0a7' 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([&#x27;course1&#x27;, &#x27;course2&#x27;, &#x27;course3&#x27;, &#x27;course4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;course&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95c28c55-7d89-4d3e-9f3e-16299be1d2d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95c28c55-7d89-4d3e-9f3e-16299be1d2d3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (pname: 11, course: 4)\n",
       "Coordinates:\n",
       "  * pname    (pname) object 'Marie' 'John' 'Kati' ... 'Pier' 'Bennet' 'Luis'\n",
       "  * course   (course) object 'course1' 'course2' 'course3' 'course4'\n",
       "Data variables:\n",
       "    grades   (pname, course) int64 24 18 30 20 18 27 29 ... 25 26 30 20 20 18 18"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the easiest is to create it from an array\n",
    "ds=data.to_dataset(name=\"grades\")\n",
    "ds"
   ]
  }
 ],
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