xarray_tutorial.ipynb

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   "source": [
    "This is a small xarray tutorial.\n",
    "\n",
    "First import numpy, matplotlib.pyplot and xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will create a random 4 dimensional matrix with arbitrary dimensions, for example 10x8x5x5 named scanimage."
   ]
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "scanimage=np.random.RandomState(np.random.randint(1,10)).rand(10,5,4,8)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say that the first dimension is time, 2nd energy, 3rd is x direction and 4th is y direction. Dimension sizes indicates the binning values, for example I have 10 binning for time value. But time value can be from $10s$ to $18s$. This is called coordinates and needs to be hold in an array in the same size of your binning. \n",
    "\n",
    "Something like; "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_time=10\n",
    "stop_time=18\n",
    "step_size=(stop_time-start_time)/(scanimage.shape[0])\n",
    "time=np.arange(0,scanimage.shape[0])*scanimage.shape[0]/(scanimage.shape[0]-1)*step_size+start_time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similar concept for other dimension:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_energy=1\n",
    "stop_energy=3\n",
    "step_size=(stop_energy-start_energy)/scanimage.shape[1]\n",
    "energy=np.arange(0,scanimage.shape[1])*scanimage.shape[1]/(scanimage.shape[1]-1)*step_size+start_energy\n",
    "\n",
    "start_y=-15\n",
    "stop_y=15\n",
    "step_size=(stop_y-start_y)/scanimage.shape[2]\n",
    "y=np.arange(0,scanimage.shape[2])*scanimage.shape[2]/(scanimage.shape[2]-1)*step_size+start_y\n",
    "\n",
    "start_x=-15\n",
    "stop_x=15\n",
    "step_size=(stop_x-start_x)/scanimage.shape[3]\n",
    "x=np.arange(0,scanimage.shape[3])*scanimage.shape[3]/(scanimage.shape[3]-1)*step_size+start_x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now it is time for the magic, we can attach this coordinates, dimensions and matrix values all together with xarray as a something called DataArray:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = xr.DataArray(scanimage, dims=['time','energy', 'y', 'x'], coords={'time': time,'energy': energy, 'y': y,'x': x})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 10, energy: 5, y: 4, x: 8)&gt;\n",
       "array([[[[0.4359949 , 0.02592623, 0.54966248, ..., 0.33033482,\n",
       "          0.20464863, 0.61927097],\n",
       "         [0.29965467, 0.26682728, 0.62113383, ..., 0.51357812,\n",
       "          0.18443987, 0.78533515],\n",
       "         [0.85397529, 0.49423684, 0.84656149, ..., 0.0652865 ,\n",
       "          0.42812233, 0.09653092],\n",
       "         [0.12715997, 0.59674531, 0.226012  , ..., 0.34982629,\n",
       "          0.46778748, 0.20174323]],\n",
       "\n",
       "        [[0.64040673, 0.48306984, 0.50523672, ..., 0.58000418,\n",
       "          0.1622986 , 0.70075235],\n",
       "         [0.96455108, 0.50000836, 0.88952006, ..., 0.42754596,\n",
       "          0.43674726, 0.77655918],\n",
       "         [0.53560417, 0.95374223, 0.54420816, ..., 0.8508505 ,\n",
       "          0.40627504, 0.02720237],\n",
       "         [0.24717724, 0.06714437, 0.99385201, ..., 0.60181712,\n",
       "          0.76495986, 0.16922545]],\n",
       "\n",
       "        [[0.29302323, 0.52406688, 0.35662428, ..., 0.44135492,\n",
       "          0.50400044, 0.32354132],\n",
       "...\n",
       "         [0.24452532, 0.15226059, 0.90992794, ..., 0.14148801,\n",
       "          0.07633674, 0.37146731]],\n",
       "\n",
       "        [[0.61011971, 0.53134911, 0.84139807, ..., 0.05962038,\n",
       "          0.74523515, 0.69520793],\n",
       "         [0.81191997, 0.10421727, 0.4619853 , ..., 0.8511911 ,\n",
       "          0.82071801, 0.51297991],\n",
       "         [0.34598712, 0.72904902, 0.88966095, ..., 0.14776746,\n",
       "          0.33080199, 0.71784392],\n",
       "         [0.35993361, 0.52241085, 0.65478695, ..., 0.14052038,\n",
       "          0.41131472, 0.22634251]],\n",
       "\n",
       "        [[0.81253091, 0.79003866, 0.21545556, ..., 0.42786073,\n",
       "          0.08590395, 0.72578034],\n",
       "         [0.08532788, 0.68123905, 0.08036249, ..., 0.40413161,\n",
       "          0.98589983, 0.95028185],\n",
       "         [0.57751558, 0.68874147, 0.80492581, ..., 0.457707  ,\n",
       "          0.83356519, 0.74776346],\n",
       "         [0.23770921, 0.86291151, 0.61282779, ..., 0.74206997,\n",
       "          0.43468881, 0.97435075]]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0</pre><div class='xr-wrap' hidden><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'>time</span>: 10</li><li><span class='xr-has-index'>energy</span>: 5</li><li><span class='xr-has-index'>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9751a009-311f-4881-9481-cdbfa905a0c3' class='xr-array-in' type='checkbox' checked><label for='section-9751a009-311f-4881-9481-cdbfa905a0c3' 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>0.436 0.02593 0.5497 0.4353 0.4204 ... 0.05732 0.7421 0.4347 0.9744</span></div><div class='xr-array-data'><pre>array([[[[0.4359949 , 0.02592623, 0.54966248, ..., 0.33033482,\n",
       "          0.20464863, 0.61927097],\n",
       "         [0.29965467, 0.26682728, 0.62113383, ..., 0.51357812,\n",
       "          0.18443987, 0.78533515],\n",
       "         [0.85397529, 0.49423684, 0.84656149, ..., 0.0652865 ,\n",
       "          0.42812233, 0.09653092],\n",
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       "          0.43674726, 0.77655918],\n",
       "         [0.53560417, 0.95374223, 0.54420816, ..., 0.8508505 ,\n",
       "          0.40627504, 0.02720237],\n",
       "         [0.24717724, 0.06714437, 0.99385201, ..., 0.60181712,\n",
       "          0.76495986, 0.16922545]],\n",
       "\n",
       "        [[0.29302323, 0.52406688, 0.35662428, ..., 0.44135492,\n",
       "          0.50400044, 0.32354132],\n",
       "...\n",
       "         [0.24452532, 0.15226059, 0.90992794, ..., 0.14148801,\n",
       "          0.07633674, 0.37146731]],\n",
       "\n",
       "        [[0.61011971, 0.53134911, 0.84139807, ..., 0.05962038,\n",
       "          0.74523515, 0.69520793],\n",
       "         [0.81191997, 0.10421727, 0.4619853 , ..., 0.8511911 ,\n",
       "          0.82071801, 0.51297991],\n",
       "         [0.34598712, 0.72904902, 0.88966095, ..., 0.14776746,\n",
       "          0.33080199, 0.71784392],\n",
       "         [0.35993361, 0.52241085, 0.65478695, ..., 0.14052038,\n",
       "          0.41131472, 0.22634251]],\n",
       "\n",
       "        [[0.81253091, 0.79003866, 0.21545556, ..., 0.42786073,\n",
       "          0.08590395, 0.72578034],\n",
       "         [0.08532788, 0.68123905, 0.08036249, ..., 0.40413161,\n",
       "          0.98589983, 0.95028185],\n",
       "         [0.57751558, 0.68874147, 0.80492581, ..., 0.457707  ,\n",
       "          0.83356519, 0.74776346],\n",
       "         [0.23770921, 0.86291151, 0.61282779, ..., 0.74206997,\n",
       "          0.43468881, 0.97435075]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-eb1b3807-3f43-4702-9905-620efd1097fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb1b3807-3f43-4702-9905-620efd1097fd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.89 11.78 ... 17.11 18.0</div><input id='attrs-ddc692e6-e3f2-44a9-a3d9-40257d43652b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddc692e6-e3f2-44a9-a3d9-40257d43652b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13cba307-1d9c-4d40-99c0-eb468b51e5e5' class='xr-var-data-in' type='checkbox'><label for='data-13cba307-1d9c-4d40-99c0-eb468b51e5e5' 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.      , 10.888889, 11.777778, 12.666667, 13.555556, 14.444444,\n",
       "       15.333333, 16.222222, 17.111111, 18.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>energy</span></div><div class='xr-var-dims'>(energy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.5 2.0 2.5 3.0</div><input id='attrs-27eb75e8-762c-4251-a1de-aa4478ae3837' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27eb75e8-762c-4251-a1de-aa4478ae3837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf923d71-4177-4640-9141-1a88c4578e87' class='xr-var-data-in' type='checkbox'><label for='data-bf923d71-4177-4640-9141-1a88c4578e87' 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([1. , 1.5, 2. , 2.5, 3. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -5.0 5.0 15.0</div><input id='attrs-5cfc0547-f49b-49a4-bb7e-6a294deeb813' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cfc0547-f49b-49a4-bb7e-6a294deeb813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfeb4eb7-c27f-43dd-a086-6b8cde38516c' class='xr-var-data-in' type='checkbox'><label for='data-bfeb4eb7-c27f-43dd-a086-6b8cde38516c' 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([-15.,  -5.,   5.,  15.])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -10.71 -6.429 ... 10.71 15.0</div><input id='attrs-ee7c7fdb-b192-4cb3-b337-0ece24a1db01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee7c7fdb-b192-4cb3-b337-0ece24a1db01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88abcc1c-8dd2-4338-b374-576382741988' class='xr-var-data-in' type='checkbox'><label for='data-88abcc1c-8dd2-4338-b374-576382741988' 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([-15.      , -10.714286,  -6.428571,  -2.142857,   2.142857,   6.428571,\n",
       "        10.714286,  15.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-102aaa9d-b2b3-4d78-ab39-3627c3590287' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-102aaa9d-b2b3-4d78-ab39-3627c3590287' 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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       "\n",
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       "          0.50400044, 0.32354132],\n",
       "...\n",
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       "          0.07633674, 0.37146731]],\n",
       "\n",
       "        [[0.61011971, 0.53134911, 0.84139807, ..., 0.05962038,\n",
       "          0.74523515, 0.69520793],\n",
       "         [0.81191997, 0.10421727, 0.4619853 , ..., 0.8511911 ,\n",
       "          0.82071801, 0.51297991],\n",
       "         [0.34598712, 0.72904902, 0.88966095, ..., 0.14776746,\n",
       "          0.33080199, 0.71784392],\n",
       "         [0.35993361, 0.52241085, 0.65478695, ..., 0.14052038,\n",
       "          0.41131472, 0.22634251]],\n",
       "\n",
       "        [[0.81253091, 0.79003866, 0.21545556, ..., 0.42786073,\n",
       "          0.08590395, 0.72578034],\n",
       "         [0.08532788, 0.68123905, 0.08036249, ..., 0.40413161,\n",
       "          0.98589983, 0.95028185],\n",
       "         [0.57751558, 0.68874147, 0.80492581, ..., 0.457707  ,\n",
       "          0.83356519, 0.74776346],\n",
       "         [0.23770921, 0.86291151, 0.61282779, ..., 0.74206997,\n",
       "          0.43468881, 0.97435075]]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can do many things from this point which also I am not very familiar of. I will focus on plotting, slicing, selecting and summing on dimensions.\n",
    "\n",
    "To select certain values inside a DataArray, one can use the option \".sel\" together with \"nearest\" method. Wtihout adding nearest method most likely you will get an error as the exact value that you are searching is not inside the coordinate array. Let select $13s$ inside our DataArray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       ".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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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, 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",
       "  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 (energy: 5, y: 4, x: 8)&gt;\n",
       "array([[[0.44646811, 0.76243056, 0.63656342, 0.18524397, 0.57920196,\n",
       "         0.65424193, 0.59374037, 0.54147664],\n",
       "        [0.59187907, 0.70899117, 0.77097797, 0.0890502 , 0.91349549,\n",
       "         0.44962501, 0.69662112, 0.38763905],\n",
       "        [0.05105715, 0.66364126, 0.36566056, 0.55277996, 0.26658984,\n",
       "         0.20387608, 0.29620495, 0.84186763],\n",
       "        [0.92401519, 0.97858359, 0.41433095, 0.77318657, 0.16805312,\n",
       "         0.74425589, 0.42420632, 0.84409209]],\n",
       "\n",
       "       [[0.19702026, 0.81891554, 0.07232532, 0.84610771, 0.42364894,\n",
       "         0.14074136, 0.30591715, 0.70936193],\n",
       "        [0.44628497, 0.23326436, 0.2387655 , 0.69317325, 0.64776948,\n",
       "         0.0639251 , 0.8125177 , 0.14018418],\n",
       "        [0.24056424, 0.01390383, 0.50625484, 0.85093205, 0.92973708,\n",
       "         0.46330977, 0.10274928, 0.47430512],\n",
       "        [0.29045827, 0.30939728, 0.24295909, 0.95369155, 0.39741033,\n",
       "         0.00357343, 0.49526216, 0.70019775]],\n",
       "\n",
       "       [[0.81527032, 0.75338683, 0.70216227, 0.19809563, 0.35010538,\n",
       "         0.45947206, 0.13696235, 0.42737747],\n",
       "...\n",
       "        [0.33364658, 0.62488757, 0.4457022 , 0.67794344, 0.30085687,\n",
       "         0.3223818 , 0.99827953, 0.23827391]],\n",
       "\n",
       "       [[0.76286148, 0.69958668, 0.64784065, 0.1215616 , 0.00557232,\n",
       "         0.74555326, 0.0830285 , 0.24271912],\n",
       "        [0.98922763, 0.96611418, 0.92132475, 0.58326448, 0.45623204,\n",
       "         0.4623376 , 0.33973915, 0.9673533 ],\n",
       "        [0.81597955, 0.99192524, 0.30088171, 0.57985073, 0.68206786,\n",
       "         0.38362915, 0.584178  , 0.19651722],\n",
       "        [0.3138682 , 0.13494683, 0.64277871, 0.33414298, 0.42483624,\n",
       "         0.38056628, 0.05274983, 0.89585385]],\n",
       "\n",
       "       [[0.72747467, 0.3240332 , 0.89869932, 0.67562322, 0.99167113,\n",
       "         0.46321296, 0.10960787, 0.12159851],\n",
       "        [0.74647161, 0.5787477 , 0.21680949, 0.5475959 , 0.52980388,\n",
       "         0.85777633, 0.05307624, 0.11305135],\n",
       "        [0.4426011 , 0.13941709, 0.98874244, 0.19825257, 0.61963299,\n",
       "         0.44365698, 0.78167436, 0.05262957],\n",
       "        [0.32439506, 0.46977262, 0.11363392, 0.64117731, 0.53421466,\n",
       "         0.82680861, 0.44228506, 0.2950208 ]]])\n",
       "Coordinates:\n",
       "    time     float64 12.67\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0</pre><div class='xr-wrap' hidden><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'>energy</span>: 5</li><li><span class='xr-has-index'>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6876ffae-4b23-4b31-8cc8-4af3070979a3' class='xr-array-in' type='checkbox' checked><label for='section-6876ffae-4b23-4b31-8cc8-4af3070979a3' 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>0.4465 0.7624 0.6366 0.1852 0.5792 ... 0.5342 0.8268 0.4423 0.295</span></div><div class='xr-array-data'><pre>array([[[0.44646811, 0.76243056, 0.63656342, 0.18524397, 0.57920196,\n",
       "         0.65424193, 0.59374037, 0.54147664],\n",
       "        [0.59187907, 0.70899117, 0.77097797, 0.0890502 , 0.91349549,\n",
       "         0.44962501, 0.69662112, 0.38763905],\n",
       "        [0.05105715, 0.66364126, 0.36566056, 0.55277996, 0.26658984,\n",
       "         0.20387608, 0.29620495, 0.84186763],\n",
       "        [0.92401519, 0.97858359, 0.41433095, 0.77318657, 0.16805312,\n",
       "         0.74425589, 0.42420632, 0.84409209]],\n",
       "\n",
       "       [[0.19702026, 0.81891554, 0.07232532, 0.84610771, 0.42364894,\n",
       "         0.14074136, 0.30591715, 0.70936193],\n",
       "        [0.44628497, 0.23326436, 0.2387655 , 0.69317325, 0.64776948,\n",
       "         0.0639251 , 0.8125177 , 0.14018418],\n",
       "        [0.24056424, 0.01390383, 0.50625484, 0.85093205, 0.92973708,\n",
       "         0.46330977, 0.10274928, 0.47430512],\n",
       "        [0.29045827, 0.30939728, 0.24295909, 0.95369155, 0.39741033,\n",
       "         0.00357343, 0.49526216, 0.70019775]],\n",
       "\n",
       "       [[0.81527032, 0.75338683, 0.70216227, 0.19809563, 0.35010538,\n",
       "         0.45947206, 0.13696235, 0.42737747],\n",
       "...\n",
       "        [0.33364658, 0.62488757, 0.4457022 , 0.67794344, 0.30085687,\n",
       "         0.3223818 , 0.99827953, 0.23827391]],\n",
       "\n",
       "       [[0.76286148, 0.69958668, 0.64784065, 0.1215616 , 0.00557232,\n",
       "         0.74555326, 0.0830285 , 0.24271912],\n",
       "        [0.98922763, 0.96611418, 0.92132475, 0.58326448, 0.45623204,\n",
       "         0.4623376 , 0.33973915, 0.9673533 ],\n",
       "        [0.81597955, 0.99192524, 0.30088171, 0.57985073, 0.68206786,\n",
       "         0.38362915, 0.584178  , 0.19651722],\n",
       "        [0.3138682 , 0.13494683, 0.64277871, 0.33414298, 0.42483624,\n",
       "         0.38056628, 0.05274983, 0.89585385]],\n",
       "\n",
       "       [[0.72747467, 0.3240332 , 0.89869932, 0.67562322, 0.99167113,\n",
       "         0.46321296, 0.10960787, 0.12159851],\n",
       "        [0.74647161, 0.5787477 , 0.21680949, 0.5475959 , 0.52980388,\n",
       "         0.85777633, 0.05307624, 0.11305135],\n",
       "        [0.4426011 , 0.13941709, 0.98874244, 0.19825257, 0.61963299,\n",
       "         0.44365698, 0.78167436, 0.05262957],\n",
       "        [0.32439506, 0.46977262, 0.11363392, 0.64117731, 0.53421466,\n",
       "         0.82680861, 0.44228506, 0.2950208 ]]])</pre></div></div></li><li class='xr-section-item'><input id='section-322f86bc-c118-46a3-911b-a3b2ef233637' class='xr-section-summary-in' type='checkbox'  checked><label for='section-322f86bc-c118-46a3-911b-a3b2ef233637' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.67</div><input id='attrs-ceb4b73f-a866-4fe4-b1ec-9b068159991a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceb4b73f-a866-4fe4-b1ec-9b068159991a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75ea47d5-899d-43c7-843f-a7c3f7cd30cb' class='xr-var-data-in' type='checkbox'><label for='data-75ea47d5-899d-43c7-843f-a7c3f7cd30cb' 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(12.66666667)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>energy</span></div><div class='xr-var-dims'>(energy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.5 2.0 2.5 3.0</div><input id='attrs-d1ffc510-a8df-4ac2-b28c-0acf1ec77e0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1ffc510-a8df-4ac2-b28c-0acf1ec77e0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de2150c-8f30-419d-bec5-acc4a67b7b1c' class='xr-var-data-in' type='checkbox'><label for='data-7de2150c-8f30-419d-bec5-acc4a67b7b1c' 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([1. , 1.5, 2. , 2.5, 3. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -5.0 5.0 15.0</div><input id='attrs-605a5876-5abc-400e-b85d-91ff1a1e0dc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-605a5876-5abc-400e-b85d-91ff1a1e0dc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9f79a73-c528-46f8-ab23-c2a9aa3ec484' class='xr-var-data-in' type='checkbox'><label for='data-a9f79a73-c528-46f8-ab23-c2a9aa3ec484' 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([-15.,  -5.,   5.,  15.])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -10.71 -6.429 ... 10.71 15.0</div><input id='attrs-671b4d37-8283-48f1-a312-28008607829b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-671b4d37-8283-48f1-a312-28008607829b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c596fe2e-2724-4217-8f7d-cb40d89779b1' class='xr-var-data-in' type='checkbox'><label for='data-c596fe2e-2724-4217-8f7d-cb40d89779b1' 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([-15.      , -10.714286,  -6.428571,  -2.142857,   2.142857,   6.428571,\n",
       "        10.714286,  15.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-726ff630-1c60-47bd-970c-52e3592fc128' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-726ff630-1c60-47bd-970c-52e3592fc128' 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 (energy: 5, y: 4, x: 8)>\n",
       "array([[[0.44646811, 0.76243056, 0.63656342, 0.18524397, 0.57920196,\n",
       "         0.65424193, 0.59374037, 0.54147664],\n",
       "        [0.59187907, 0.70899117, 0.77097797, 0.0890502 , 0.91349549,\n",
       "         0.44962501, 0.69662112, 0.38763905],\n",
       "        [0.05105715, 0.66364126, 0.36566056, 0.55277996, 0.26658984,\n",
       "         0.20387608, 0.29620495, 0.84186763],\n",
       "        [0.92401519, 0.97858359, 0.41433095, 0.77318657, 0.16805312,\n",
       "         0.74425589, 0.42420632, 0.84409209]],\n",
       "\n",
       "       [[0.19702026, 0.81891554, 0.07232532, 0.84610771, 0.42364894,\n",
       "         0.14074136, 0.30591715, 0.70936193],\n",
       "        [0.44628497, 0.23326436, 0.2387655 , 0.69317325, 0.64776948,\n",
       "         0.0639251 , 0.8125177 , 0.14018418],\n",
       "        [0.24056424, 0.01390383, 0.50625484, 0.85093205, 0.92973708,\n",
       "         0.46330977, 0.10274928, 0.47430512],\n",
       "        [0.29045827, 0.30939728, 0.24295909, 0.95369155, 0.39741033,\n",
       "         0.00357343, 0.49526216, 0.70019775]],\n",
       "\n",
       "       [[0.81527032, 0.75338683, 0.70216227, 0.19809563, 0.35010538,\n",
       "         0.45947206, 0.13696235, 0.42737747],\n",
       "...\n",
       "        [0.33364658, 0.62488757, 0.4457022 , 0.67794344, 0.30085687,\n",
       "         0.3223818 , 0.99827953, 0.23827391]],\n",
       "\n",
       "       [[0.76286148, 0.69958668, 0.64784065, 0.1215616 , 0.00557232,\n",
       "         0.74555326, 0.0830285 , 0.24271912],\n",
       "        [0.98922763, 0.96611418, 0.92132475, 0.58326448, 0.45623204,\n",
       "         0.4623376 , 0.33973915, 0.9673533 ],\n",
       "        [0.81597955, 0.99192524, 0.30088171, 0.57985073, 0.68206786,\n",
       "         0.38362915, 0.584178  , 0.19651722],\n",
       "        [0.3138682 , 0.13494683, 0.64277871, 0.33414298, 0.42483624,\n",
       "         0.38056628, 0.05274983, 0.89585385]],\n",
       "\n",
       "       [[0.72747467, 0.3240332 , 0.89869932, 0.67562322, 0.99167113,\n",
       "         0.46321296, 0.10960787, 0.12159851],\n",
       "        [0.74647161, 0.5787477 , 0.21680949, 0.5475959 , 0.52980388,\n",
       "         0.85777633, 0.05307624, 0.11305135],\n",
       "        [0.4426011 , 0.13941709, 0.98874244, 0.19825257, 0.61963299,\n",
       "         0.44365698, 0.78167436, 0.05262957],\n",
       "        [0.32439506, 0.46977262, 0.11363392, 0.64117731, 0.53421466,\n",
       "         0.82680861, 0.44228506, 0.2950208 ]]])\n",
       "Coordinates:\n",
       "    time     float64 12.67\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sel(time=13, method=\"nearest\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This selected the energy, x and y values at the $12.67s$ time value which is the nearest one to $13s$.\n",
    "\n",
    "One can also slice between certain values. Let's slice our DataArray from $11s$ to $14s$. For this there is no nearest method, it does it automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 3, energy: 5, y: 4, x: 8)&gt;\n",
       "array([[[[0.0434897 , 0.24755088, 0.94317072, 0.55686017, 0.35751823,\n",
       "          0.00945037, 0.25354827, 0.25422669],\n",
       "         [0.17068553, 0.34497996, 0.20264905, 0.06290154, 0.0979604 ,\n",
       "          0.4967275 , 0.06966059, 0.93515356],\n",
       "         [0.20609764, 0.46421235, 0.41466826, 0.29133772, 0.32352851,\n",
       "          0.21159758, 0.28026829, 0.11710504],\n",
       "         [0.68925187, 0.64452619, 0.3115294 , 0.88029896, 0.38637573,\n",
       "          0.6110893 , 0.52316933, 0.3250568 ]],\n",
       "\n",
       "        [[0.92979042, 0.84820141, 0.84112295, 0.95428864, 0.00248243,\n",
       "          0.4921191 , 0.93791312, 0.13442676],\n",
       "         [0.24499414, 0.50506192, 0.67842151, 0.33275996, 0.30636467,\n",
       "          0.77579791, 0.03285394, 0.78579786],\n",
       "         [0.42854028, 0.62900946, 0.70550302, 0.09846863, 0.90384616,\n",
       "          0.82231247, 0.37538144, 0.19479433],\n",
       "         [0.06280544, 0.30860893, 0.71319196, 0.81318172, 0.3265883 ,\n",
       "          0.22028989, 0.32739418, 0.96436684]],\n",
       "\n",
       "        [[0.0960907 , 0.16218345, 0.69423912, 0.1397635 , 0.26662589,\n",
       "          0.80317587, 0.30061178, 0.59701655],\n",
       "...\n",
       "         [0.91376399, 0.06078183, 0.79447128, 0.12123879, 0.90263192,\n",
       "          0.63443795, 0.31017495, 0.86514449]],\n",
       "\n",
       "        [[0.18039058, 0.21556824, 0.32589085, 0.41383505, 0.21867176,\n",
       "          0.91971039, 0.44041225, 0.95182595],\n",
       "         [0.25325094, 0.46855267, 0.80160178, 0.98933518, 0.44974214,\n",
       "          0.47000959, 0.94066896, 0.43220299],\n",
       "         [0.44044479, 0.95314832, 0.496888  , 0.12623265, 0.94145649,\n",
       "          0.50147579, 0.36070629, 0.90069796],\n",
       "         [0.01714076, 0.94762497, 0.08750644, 0.07549971, 0.94225929,\n",
       "          0.47796601, 0.17970571, 0.98226466]],\n",
       "\n",
       "        [[0.33521609, 0.94133935, 0.4594912 , 0.36793331, 0.57333576,\n",
       "          0.91052189, 0.98008618, 0.69572695],\n",
       "         [0.36830576, 0.86359418, 0.92431944, 0.54292291, 0.7115508 ,\n",
       "          0.8714989 , 0.68448133, 0.65043233],\n",
       "         [0.38071717, 0.60040955, 0.24318227, 0.11988065, 0.25853244,\n",
       "          0.44623723, 0.344564  , 0.70197734],\n",
       "         [0.3825278 , 0.50486161, 0.29085578, 0.08902619, 0.7167954 ,\n",
       "          0.22411043, 0.46544141, 0.59395606]]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 11.78 12.67 13.56\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0</pre><div class='xr-wrap' hidden><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'>time</span>: 3</li><li><span class='xr-has-index'>energy</span>: 5</li><li><span class='xr-has-index'>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e2feb3b7-e3a6-442b-8a7d-4a03a176ecf6' class='xr-array-in' type='checkbox' checked><label for='section-e2feb3b7-e3a6-442b-8a7d-4a03a176ecf6' 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>0.04349 0.2476 0.9432 0.5569 0.3575 ... 0.7168 0.2241 0.4654 0.594</span></div><div class='xr-array-data'><pre>array([[[[0.0434897 , 0.24755088, 0.94317072, 0.55686017, 0.35751823,\n",
       "          0.00945037, 0.25354827, 0.25422669],\n",
       "         [0.17068553, 0.34497996, 0.20264905, 0.06290154, 0.0979604 ,\n",
       "          0.4967275 , 0.06966059, 0.93515356],\n",
       "         [0.20609764, 0.46421235, 0.41466826, 0.29133772, 0.32352851,\n",
       "          0.21159758, 0.28026829, 0.11710504],\n",
       "         [0.68925187, 0.64452619, 0.3115294 , 0.88029896, 0.38637573,\n",
       "          0.6110893 , 0.52316933, 0.3250568 ]],\n",
       "\n",
       "        [[0.92979042, 0.84820141, 0.84112295, 0.95428864, 0.00248243,\n",
       "          0.4921191 , 0.93791312, 0.13442676],\n",
       "         [0.24499414, 0.50506192, 0.67842151, 0.33275996, 0.30636467,\n",
       "          0.77579791, 0.03285394, 0.78579786],\n",
       "         [0.42854028, 0.62900946, 0.70550302, 0.09846863, 0.90384616,\n",
       "          0.82231247, 0.37538144, 0.19479433],\n",
       "         [0.06280544, 0.30860893, 0.71319196, 0.81318172, 0.3265883 ,\n",
       "          0.22028989, 0.32739418, 0.96436684]],\n",
       "\n",
       "        [[0.0960907 , 0.16218345, 0.69423912, 0.1397635 , 0.26662589,\n",
       "          0.80317587, 0.30061178, 0.59701655],\n",
       "...\n",
       "         [0.91376399, 0.06078183, 0.79447128, 0.12123879, 0.90263192,\n",
       "          0.63443795, 0.31017495, 0.86514449]],\n",
       "\n",
       "        [[0.18039058, 0.21556824, 0.32589085, 0.41383505, 0.21867176,\n",
       "          0.91971039, 0.44041225, 0.95182595],\n",
       "         [0.25325094, 0.46855267, 0.80160178, 0.98933518, 0.44974214,\n",
       "          0.47000959, 0.94066896, 0.43220299],\n",
       "         [0.44044479, 0.95314832, 0.496888  , 0.12623265, 0.94145649,\n",
       "          0.50147579, 0.36070629, 0.90069796],\n",
       "         [0.01714076, 0.94762497, 0.08750644, 0.07549971, 0.94225929,\n",
       "          0.47796601, 0.17970571, 0.98226466]],\n",
       "\n",
       "        [[0.33521609, 0.94133935, 0.4594912 , 0.36793331, 0.57333576,\n",
       "          0.91052189, 0.98008618, 0.69572695],\n",
       "         [0.36830576, 0.86359418, 0.92431944, 0.54292291, 0.7115508 ,\n",
       "          0.8714989 , 0.68448133, 0.65043233],\n",
       "         [0.38071717, 0.60040955, 0.24318227, 0.11988065, 0.25853244,\n",
       "          0.44623723, 0.344564  , 0.70197734],\n",
       "         [0.3825278 , 0.50486161, 0.29085578, 0.08902619, 0.7167954 ,\n",
       "          0.22411043, 0.46544141, 0.59395606]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-f14a41a4-c9a3-472e-b740-eb7e0168166c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f14a41a4-c9a3-472e-b740-eb7e0168166c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.78 12.67 13.56</div><input id='attrs-b1c33690-5786-4ac5-a708-e23f3aea29d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1c33690-5786-4ac5-a708-e23f3aea29d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a75bdf3b-8cd2-4815-91a4-b29da019536d' class='xr-var-data-in' type='checkbox'><label for='data-a75bdf3b-8cd2-4815-91a4-b29da019536d' 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([11.777778, 12.666667, 13.555556])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>energy</span></div><div class='xr-var-dims'>(energy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.5 2.0 2.5 3.0</div><input id='attrs-f8a13f50-b3a0-411b-bf48-daec83cd50a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8a13f50-b3a0-411b-bf48-daec83cd50a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f2d6854-9f0c-4c8f-9d72-a50882d6cad0' class='xr-var-data-in' type='checkbox'><label for='data-5f2d6854-9f0c-4c8f-9d72-a50882d6cad0' 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([1. , 1.5, 2. , 2.5, 3. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -5.0 5.0 15.0</div><input id='attrs-028d14e0-dc78-49df-a699-2cd30c823db7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-028d14e0-dc78-49df-a699-2cd30c823db7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-516dcb94-0475-4844-8252-f5fe2ae7c050' class='xr-var-data-in' type='checkbox'><label for='data-516dcb94-0475-4844-8252-f5fe2ae7c050' 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([-15.,  -5.,   5.,  15.])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -10.71 -6.429 ... 10.71 15.0</div><input id='attrs-3a8642d5-c673-4518-897a-6ed38f706e85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a8642d5-c673-4518-897a-6ed38f706e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7123792-f511-4c3f-ae1f-2edda17d6176' class='xr-var-data-in' type='checkbox'><label for='data-e7123792-f511-4c3f-ae1f-2edda17d6176' 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([-15.      , -10.714286,  -6.428571,  -2.142857,   2.142857,   6.428571,\n",
       "        10.714286,  15.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61f1212c-28da-4476-bc44-f02a992d4f85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61f1212c-28da-4476-bc44-f02a992d4f85' 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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       "          0.00945037, 0.25354827, 0.25422669],\n",
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       "          0.6110893 , 0.52316933, 0.3250568 ]],\n",
       "\n",
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       "          0.4921191 , 0.93791312, 0.13442676],\n",
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       "          0.82231247, 0.37538144, 0.19479433],\n",
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       "          0.22028989, 0.32739418, 0.96436684]],\n",
       "\n",
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       "          0.80317587, 0.30061178, 0.59701655],\n",
       "...\n",
       "         [0.91376399, 0.06078183, 0.79447128, 0.12123879, 0.90263192,\n",
       "          0.63443795, 0.31017495, 0.86514449]],\n",
       "\n",
       "        [[0.18039058, 0.21556824, 0.32589085, 0.41383505, 0.21867176,\n",
       "          0.91971039, 0.44041225, 0.95182595],\n",
       "         [0.25325094, 0.46855267, 0.80160178, 0.98933518, 0.44974214,\n",
       "          0.47000959, 0.94066896, 0.43220299],\n",
       "         [0.44044479, 0.95314832, 0.496888  , 0.12623265, 0.94145649,\n",
       "          0.50147579, 0.36070629, 0.90069796],\n",
       "         [0.01714076, 0.94762497, 0.08750644, 0.07549971, 0.94225929,\n",
       "          0.47796601, 0.17970571, 0.98226466]],\n",
       "\n",
       "        [[0.33521609, 0.94133935, 0.4594912 , 0.36793331, 0.57333576,\n",
       "          0.91052189, 0.98008618, 0.69572695],\n",
       "         [0.36830576, 0.86359418, 0.92431944, 0.54292291, 0.7115508 ,\n",
       "          0.8714989 , 0.68448133, 0.65043233],\n",
       "         [0.38071717, 0.60040955, 0.24318227, 0.11988065, 0.25853244,\n",
       "          0.44623723, 0.344564  , 0.70197734],\n",
       "         [0.3825278 , 0.50486161, 0.29085578, 0.08902619, 0.7167954 ,\n",
       "          0.22411043, 0.46544141, 0.59395606]]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 11.78 12.67 13.56\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sel(time=slice(11,14))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also sum up all the dimension. Let sum all the x values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "\n",
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       "\n",
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       "\n",
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       "  grid-column: 2;\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 10, energy: 5, y: 4)&gt;\n",
       "array([[[3.02152823, 3.33469096, 3.36960493, 2.29652617],\n",
       "        [4.25229851, 4.9036897 , 3.7663198 , 4.61501471],\n",
       "        [3.47144348, 3.67442023, 3.47179072, 3.46804448],\n",
       "        [4.8871095 , 4.59724394, 4.27541783, 2.70411887],\n",
       "        [2.38293751, 4.00693546, 3.27726215, 2.36990942]],\n",
       "\n",
       "       [[4.44270284, 3.26833892, 5.43376265, 3.49970082],\n",
       "        [4.64955772, 3.76614666, 5.07953801, 5.08865322],\n",
       "        [3.88945787, 4.42143398, 3.99158874, 3.93189794],\n",
       "        [2.43011642, 4.53470432, 5.27140868, 5.44468597],\n",
       "        [3.97615817, 2.44214966, 4.49230232, 5.03303618]],\n",
       "\n",
       "       [[2.66581503, 2.38071813, 2.30881538, 4.37129758],\n",
       "        [5.14034482, 3.66205191, 4.15785579, 3.73642725],\n",
       "        [3.05970686, 2.70421013, 4.22891804, 3.55047993],\n",
       "        [5.46152098, 4.5708466 , 4.44662519, 4.1333646 ],\n",
       "        [4.16624496, 4.74348601, 3.52703378, 5.59382969]],\n",
       "\n",
       "       [[4.39936696, 4.60827907, 3.24167744, 5.27072372],\n",
       "        [3.51403821, 3.27588453, 3.5817562 , 3.39294986],\n",
       "...\n",
       "        [3.83954497, 3.98466499, 4.09385483, 3.87538554],\n",
       "        [3.66045124, 4.45561474, 3.93273159, 3.71254046]],\n",
       "\n",
       "       [[5.01223224, 2.87426207, 4.5553595 , 4.82925933],\n",
       "        [3.90502984, 2.86515253, 3.14013403, 2.90175524],\n",
       "        [3.65275517, 3.90470834, 3.98319106, 4.51851221],\n",
       "        [3.33711455, 3.00847733, 5.77000464, 5.515748  ],\n",
       "        [4.23262197, 4.99419613, 3.1897828 , 5.04886352]],\n",
       "\n",
       "       [[4.44943831, 2.31795273, 3.89296202, 4.89911369],\n",
       "        [4.50839962, 3.04696695, 3.76830247, 5.15722289],\n",
       "        [4.3602511 , 2.95197434, 4.97365558, 2.36212688],\n",
       "        [3.91981405, 4.42200263, 3.53233208, 4.06192353],\n",
       "        [3.12797105, 3.14465989, 3.48998825, 4.40421317]],\n",
       "\n",
       "       [[4.19129147, 3.6741896 , 4.42242939, 3.73006374],\n",
       "        [4.86002864, 3.07279803, 5.27913748, 2.59996109],\n",
       "        [2.42296004, 3.53564146, 3.69711068, 2.84026398],\n",
       "        [4.53097731, 4.22555602, 4.54079872, 3.33273535],\n",
       "        [4.30061733, 4.05551662, 4.95947832, 4.20771946]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0</pre><div class='xr-wrap' hidden><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'>time</span>: 10</li><li><span class='xr-has-index'>energy</span>: 5</li><li><span class='xr-has-index'>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dfb85b1f-8b5c-4876-aec9-04f163f924f3' class='xr-array-in' type='checkbox' checked><label for='section-dfb85b1f-8b5c-4876-aec9-04f163f924f3' 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>3.022 3.335 3.37 2.297 4.252 4.904 ... 3.333 4.301 4.056 4.959 4.208</span></div><div class='xr-array-data'><pre>array([[[3.02152823, 3.33469096, 3.36960493, 2.29652617],\n",
       "        [4.25229851, 4.9036897 , 3.7663198 , 4.61501471],\n",
       "        [3.47144348, 3.67442023, 3.47179072, 3.46804448],\n",
       "        [4.8871095 , 4.59724394, 4.27541783, 2.70411887],\n",
       "        [2.38293751, 4.00693546, 3.27726215, 2.36990942]],\n",
       "\n",
       "       [[4.44270284, 3.26833892, 5.43376265, 3.49970082],\n",
       "        [4.64955772, 3.76614666, 5.07953801, 5.08865322],\n",
       "        [3.88945787, 4.42143398, 3.99158874, 3.93189794],\n",
       "        [2.43011642, 4.53470432, 5.27140868, 5.44468597],\n",
       "        [3.97615817, 2.44214966, 4.49230232, 5.03303618]],\n",
       "\n",
       "       [[2.66581503, 2.38071813, 2.30881538, 4.37129758],\n",
       "        [5.14034482, 3.66205191, 4.15785579, 3.73642725],\n",
       "        [3.05970686, 2.70421013, 4.22891804, 3.55047993],\n",
       "        [5.46152098, 4.5708466 , 4.44662519, 4.1333646 ],\n",
       "        [4.16624496, 4.74348601, 3.52703378, 5.59382969]],\n",
       "\n",
       "       [[4.39936696, 4.60827907, 3.24167744, 5.27072372],\n",
       "        [3.51403821, 3.27588453, 3.5817562 , 3.39294986],\n",
       "...\n",
       "        [3.83954497, 3.98466499, 4.09385483, 3.87538554],\n",
       "        [3.66045124, 4.45561474, 3.93273159, 3.71254046]],\n",
       "\n",
       "       [[5.01223224, 2.87426207, 4.5553595 , 4.82925933],\n",
       "        [3.90502984, 2.86515253, 3.14013403, 2.90175524],\n",
       "        [3.65275517, 3.90470834, 3.98319106, 4.51851221],\n",
       "        [3.33711455, 3.00847733, 5.77000464, 5.515748  ],\n",
       "        [4.23262197, 4.99419613, 3.1897828 , 5.04886352]],\n",
       "\n",
       "       [[4.44943831, 2.31795273, 3.89296202, 4.89911369],\n",
       "        [4.50839962, 3.04696695, 3.76830247, 5.15722289],\n",
       "        [4.3602511 , 2.95197434, 4.97365558, 2.36212688],\n",
       "        [3.91981405, 4.42200263, 3.53233208, 4.06192353],\n",
       "        [3.12797105, 3.14465989, 3.48998825, 4.40421317]],\n",
       "\n",
       "       [[4.19129147, 3.6741896 , 4.42242939, 3.73006374],\n",
       "        [4.86002864, 3.07279803, 5.27913748, 2.59996109],\n",
       "        [2.42296004, 3.53564146, 3.69711068, 2.84026398],\n",
       "        [4.53097731, 4.22555602, 4.54079872, 3.33273535],\n",
       "        [4.30061733, 4.05551662, 4.95947832, 4.20771946]]])</pre></div></div></li><li class='xr-section-item'><input id='section-9d5a351f-1dca-4a49-8ca9-f04f9a3e2fc7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d5a351f-1dca-4a49-8ca9-f04f9a3e2fc7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.89 11.78 ... 17.11 18.0</div><input id='attrs-260d60f3-7674-4947-b156-a36d9ffdd8f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-260d60f3-7674-4947-b156-a36d9ffdd8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-907fd743-163a-4e97-bec1-e378152920c5' class='xr-var-data-in' type='checkbox'><label for='data-907fd743-163a-4e97-bec1-e378152920c5' 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.      , 10.888889, 11.777778, 12.666667, 13.555556, 14.444444,\n",
       "       15.333333, 16.222222, 17.111111, 18.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>energy</span></div><div class='xr-var-dims'>(energy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.5 2.0 2.5 3.0</div><input id='attrs-e5234e85-21fd-4346-ab89-7bd1014873f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5234e85-21fd-4346-ab89-7bd1014873f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce13eb62-88e8-4e69-8b03-cb420ee9fe09' class='xr-var-data-in' type='checkbox'><label for='data-ce13eb62-88e8-4e69-8b03-cb420ee9fe09' 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([1. , 1.5, 2. , 2.5, 3. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -5.0 5.0 15.0</div><input id='attrs-323ca3b2-ed94-4d51-a53e-b9debeeaf59a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-323ca3b2-ed94-4d51-a53e-b9debeeaf59a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a336704-a034-49a9-8837-821e2e7119f9' class='xr-var-data-in' type='checkbox'><label for='data-5a336704-a034-49a9-8837-821e2e7119f9' 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([-15.,  -5.,   5.,  15.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fad8572-21da-4daa-95e4-3f73f5d1604b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fad8572-21da-4daa-95e4-3f73f5d1604b' 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 (time: 10, energy: 5, y: 4)>\n",
       "array([[[3.02152823, 3.33469096, 3.36960493, 2.29652617],\n",
       "        [4.25229851, 4.9036897 , 3.7663198 , 4.61501471],\n",
       "        [3.47144348, 3.67442023, 3.47179072, 3.46804448],\n",
       "        [4.8871095 , 4.59724394, 4.27541783, 2.70411887],\n",
       "        [2.38293751, 4.00693546, 3.27726215, 2.36990942]],\n",
       "\n",
       "       [[4.44270284, 3.26833892, 5.43376265, 3.49970082],\n",
       "        [4.64955772, 3.76614666, 5.07953801, 5.08865322],\n",
       "        [3.88945787, 4.42143398, 3.99158874, 3.93189794],\n",
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       "        [3.97615817, 2.44214966, 4.49230232, 5.03303618]],\n",
       "\n",
       "       [[2.66581503, 2.38071813, 2.30881538, 4.37129758],\n",
       "        [5.14034482, 3.66205191, 4.15785579, 3.73642725],\n",
       "        [3.05970686, 2.70421013, 4.22891804, 3.55047993],\n",
       "        [5.46152098, 4.5708466 , 4.44662519, 4.1333646 ],\n",
       "        [4.16624496, 4.74348601, 3.52703378, 5.59382969]],\n",
       "\n",
       "       [[4.39936696, 4.60827907, 3.24167744, 5.27072372],\n",
       "        [3.51403821, 3.27588453, 3.5817562 , 3.39294986],\n",
       "...\n",
       "        [3.83954497, 3.98466499, 4.09385483, 3.87538554],\n",
       "        [3.66045124, 4.45561474, 3.93273159, 3.71254046]],\n",
       "\n",
       "       [[5.01223224, 2.87426207, 4.5553595 , 4.82925933],\n",
       "        [3.90502984, 2.86515253, 3.14013403, 2.90175524],\n",
       "        [3.65275517, 3.90470834, 3.98319106, 4.51851221],\n",
       "        [3.33711455, 3.00847733, 5.77000464, 5.515748  ],\n",
       "        [4.23262197, 4.99419613, 3.1897828 , 5.04886352]],\n",
       "\n",
       "       [[4.44943831, 2.31795273, 3.89296202, 4.89911369],\n",
       "        [4.50839962, 3.04696695, 3.76830247, 5.15722289],\n",
       "        [4.3602511 , 2.95197434, 4.97365558, 2.36212688],\n",
       "        [3.91981405, 4.42200263, 3.53233208, 4.06192353],\n",
       "        [3.12797105, 3.14465989, 3.48998825, 4.40421317]],\n",
       "\n",
       "       [[4.19129147, 3.6741896 , 4.42242939, 3.73006374],\n",
       "        [4.86002864, 3.07279803, 5.27913748, 2.59996109],\n",
       "        [2.42296004, 3.53564146, 3.69711068, 2.84026398],\n",
       "        [4.53097731, 4.22555602, 4.54079872, 3.33273535],\n",
       "        [4.30061733, 4.05551662, 4.95947832, 4.20771946]]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * energy   (energy) float64 1.0 1.5 2.0 2.5 3.0\n",
       "  * y        (y) float64 -15.0 -5.0 5.0 15.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum(dim='x')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can combine all this methods to work together. Lets select energy=$2$, slice y dimension from $-10$ to $5$ and sum it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       ".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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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, 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",
       "  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 (time: 10, x: 8)&gt;\n",
       "array([[0.84242964, 0.41244083, 1.49421892, 1.12427048, 0.87628437,\n",
       "        0.42792317, 1.14827684, 0.8203667 ],\n",
       "       [0.71153961, 0.40692008, 1.40800338, 0.88668784, 1.19626148,\n",
       "        1.33485166, 1.36738542, 1.10137325],\n",
       "       [0.79311394, 0.82830087, 0.78819538, 0.78503749, 1.17669314,\n",
       "        0.53020687, 0.87786493, 1.15371554],\n",
       "       [0.2826096 , 0.96267696, 1.13977153, 0.44660063, 0.62299631,\n",
       "        1.06959422, 1.17044361, 0.66518482],\n",
       "       [0.95643915, 0.81814688, 1.22146352, 0.86059564, 1.69834962,\n",
       "        1.8271753 , 0.66323381, 0.88591508],\n",
       "       [0.80393642, 0.30985221, 0.50631686, 1.14164946, 0.37241886,\n",
       "        0.13456882, 0.99224566, 0.99812611],\n",
       "       [0.16951609, 0.48116998, 1.48070099, 1.65697729, 0.97528878,\n",
       "        1.03482226, 1.5939491 , 0.24525629],\n",
       "       [1.38439937, 1.17364298, 1.14386908, 0.13911384, 0.76872686,\n",
       "        1.14957966, 1.045893  , 1.08267462],\n",
       "       [0.86060365, 0.73567422, 0.83873903, 0.78021406, 1.30471826,\n",
       "        1.22094575, 1.4995844 , 0.68515055],\n",
       "       [0.79476231, 1.77563557, 1.75256758, 0.56532488, 0.24043361,\n",
       "        1.35796087, 0.64739153, 0.09867578]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "    energy   float64 2.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0</pre><div class='xr-wrap' hidden><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'>time</span>: 10</li><li><span class='xr-has-index'>x</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4f949e98-eea4-4afe-8a59-a65a48820ced' class='xr-array-in' type='checkbox' checked><label for='section-4f949e98-eea4-4afe-8a59-a65a48820ced' 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>0.8424 0.4124 1.494 1.124 0.8763 ... 0.2404 1.358 0.6474 0.09868</span></div><div class='xr-array-data'><pre>array([[0.84242964, 0.41244083, 1.49421892, 1.12427048, 0.87628437,\n",
       "        0.42792317, 1.14827684, 0.8203667 ],\n",
       "       [0.71153961, 0.40692008, 1.40800338, 0.88668784, 1.19626148,\n",
       "        1.33485166, 1.36738542, 1.10137325],\n",
       "       [0.79311394, 0.82830087, 0.78819538, 0.78503749, 1.17669314,\n",
       "        0.53020687, 0.87786493, 1.15371554],\n",
       "       [0.2826096 , 0.96267696, 1.13977153, 0.44660063, 0.62299631,\n",
       "        1.06959422, 1.17044361, 0.66518482],\n",
       "       [0.95643915, 0.81814688, 1.22146352, 0.86059564, 1.69834962,\n",
       "        1.8271753 , 0.66323381, 0.88591508],\n",
       "       [0.80393642, 0.30985221, 0.50631686, 1.14164946, 0.37241886,\n",
       "        0.13456882, 0.99224566, 0.99812611],\n",
       "       [0.16951609, 0.48116998, 1.48070099, 1.65697729, 0.97528878,\n",
       "        1.03482226, 1.5939491 , 0.24525629],\n",
       "       [1.38439937, 1.17364298, 1.14386908, 0.13911384, 0.76872686,\n",
       "        1.14957966, 1.045893  , 1.08267462],\n",
       "       [0.86060365, 0.73567422, 0.83873903, 0.78021406, 1.30471826,\n",
       "        1.22094575, 1.4995844 , 0.68515055],\n",
       "       [0.79476231, 1.77563557, 1.75256758, 0.56532488, 0.24043361,\n",
       "        1.35796087, 0.64739153, 0.09867578]])</pre></div></div></li><li class='xr-section-item'><input id='section-c45ee480-ab97-4792-8c95-28b82d6bfb5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c45ee480-ab97-4792-8c95-28b82d6bfb5f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.89 11.78 ... 17.11 18.0</div><input id='attrs-2f609bf4-990f-4e25-90c4-d2b04721fc82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f609bf4-990f-4e25-90c4-d2b04721fc82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d1fd1ae-7082-4867-afc8-570b312adf2a' class='xr-var-data-in' type='checkbox'><label for='data-8d1fd1ae-7082-4867-afc8-570b312adf2a' 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.      , 10.888889, 11.777778, 12.666667, 13.555556, 14.444444,\n",
       "       15.333333, 16.222222, 17.111111, 18.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-b3461bb0-58f8-4d13-86ed-9606fe026570' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3461bb0-58f8-4d13-86ed-9606fe026570' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9460e5d7-47f7-407a-955c-5d6696044a4c' class='xr-var-data-in' type='checkbox'><label for='data-9460e5d7-47f7-407a-955c-5d6696044a4c' 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(2.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>-15.0 -10.71 -6.429 ... 10.71 15.0</div><input id='attrs-9ecbd575-8894-467a-8f23-a5137ff5c036' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ecbd575-8894-467a-8f23-a5137ff5c036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a551dd9e-ec0c-4197-997c-2cede30cf2a4' class='xr-var-data-in' type='checkbox'><label for='data-a551dd9e-ec0c-4197-997c-2cede30cf2a4' 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([-15.      , -10.714286,  -6.428571,  -2.142857,   2.142857,   6.428571,\n",
       "        10.714286,  15.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0614097-7ed9-483f-869f-a1ca233a49ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0614097-7ed9-483f-869f-a1ca233a49ac' 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 (time: 10, x: 8)>\n",
       "array([[0.84242964, 0.41244083, 1.49421892, 1.12427048, 0.87628437,\n",
       "        0.42792317, 1.14827684, 0.8203667 ],\n",
       "       [0.71153961, 0.40692008, 1.40800338, 0.88668784, 1.19626148,\n",
       "        1.33485166, 1.36738542, 1.10137325],\n",
       "       [0.79311394, 0.82830087, 0.78819538, 0.78503749, 1.17669314,\n",
       "        0.53020687, 0.87786493, 1.15371554],\n",
       "       [0.2826096 , 0.96267696, 1.13977153, 0.44660063, 0.62299631,\n",
       "        1.06959422, 1.17044361, 0.66518482],\n",
       "       [0.95643915, 0.81814688, 1.22146352, 0.86059564, 1.69834962,\n",
       "        1.8271753 , 0.66323381, 0.88591508],\n",
       "       [0.80393642, 0.30985221, 0.50631686, 1.14164946, 0.37241886,\n",
       "        0.13456882, 0.99224566, 0.99812611],\n",
       "       [0.16951609, 0.48116998, 1.48070099, 1.65697729, 0.97528878,\n",
       "        1.03482226, 1.5939491 , 0.24525629],\n",
       "       [1.38439937, 1.17364298, 1.14386908, 0.13911384, 0.76872686,\n",
       "        1.14957966, 1.045893  , 1.08267462],\n",
       "       [0.86060365, 0.73567422, 0.83873903, 0.78021406, 1.30471826,\n",
       "        1.22094575, 1.4995844 , 0.68515055],\n",
       "       [0.79476231, 1.77563557, 1.75256758, 0.56532488, 0.24043361,\n",
       "        1.35796087, 0.64739153, 0.09867578]])\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "    energy   float64 2.0\n",
       "  * x        (x) float64 -15.0 -10.71 -6.429 -2.143 2.143 6.429 10.71 15.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sel(energy=2, method=\"nearest\").sel(y=slice(-10,5)).sum(dim='y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also one can directly plot 2D or 1D DataArray, xarray has a built-in plotting function. Lets plot this last one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x227f80bc3c8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.sel(energy=2, method=\"nearest\").sel(y=slice(-10,5)).sum(dim='y').plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or one can do values vs dimension plots. To do this lets slice and add up time values between $13s$ and $15s$, sum and plot it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x227f818c108>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.sel(energy=2, method=\"nearest\").sel(y=slice(-10,5)).sum(dim='y').sel(time=slice(13,15)).sum(dim='time').plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also assign your modified DataArray to new data array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x227f83789c8>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataselected=data.sel(energy=2, method=\"nearest\").sel(y=slice(-10,5)).sum(dim='y').sel(time=slice(13,15)).sum(dim='time')\n",
    "dataselected.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and use already existing matplotlib functions in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x227f83dacc8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataselected.plot(label='some cool data')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "or you can export them as numpy arrays, for plotting or fitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataselected_as_array_ydim=dataselected.values\n",
    "xdim=dataselected.coords['x']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and then plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x227f8542408>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(xdim,dataselected_as_array_ydim,label='some cool data as an array')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "you can ignore the down part, I will continue later on. But just for a start, there is a second type of data type in xarray called Dataset. Datasets contains multiple DataArrays inside that shares dimensions and coordinates. In down example(which I will make more understandable later) I create random number of experiments and in every experiment a DataArray is created. This DataArrays are added to single Dataset and also an extra DataArray is added called datasum where all the different experiments are added each other(for example for better statistics.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "\n",
    "#Number of experiments. This value can change from 1 to 10\n",
    "n=np.random.randint(1,10)\n",
    "\n",
    "#empty list to append the DataArrays created by conversion matrices.\n",
    "a=[]\n",
    "\n",
    "#Empty Dataset to append the experiments in 'a' list.\n",
    "data = xr.Dataset()\n",
    "\n",
    "#dimension offset and factor for the calculation of the coordinates\n",
    "offsets=[-10,-1,-15,-15]\n",
    "factors=[0.8,0.01,0.3,0.3]\n",
    "\n",
    "for i in range(n):\n",
    "    #Generating random 4D matrix\n",
    "    scanimage=np.random.RandomState(np.random.randint(1,10)).rand(10,8,5,5)\n",
    "    \n",
    "    #Creating \n",
    "    time=(np.arange(0,scanimage.shape[0])*scanimage.shape[0]/(scanimage.shape[0]-1)*factors[0]-offsets[0])\n",
    "    z=(np.arange(0,scanimage.shape[1])*scanimage.shape[1]/(scanimage.shape[1]-1)*factors[1]-offsets[1])\n",
    "    x=(np.arange(0,scanimage.shape[2])*scanimage.shape[2]/(scanimage.shape[2]-1)*factors[2]-offsets[2])\n",
    "    y=(np.arange(0,scanimage.shape[3])*scanimage.shape[3]/(scanimage.shape[3]-1)*factors[3]-offsets[3])\n",
    "    a.append(xr.DataArray(scanimage, dims=['time', 'z', 'y', 'x'], \n",
    "                                  coords={'time':time, 'z': z, 'y': y,'x': x}, \n",
    "                                  name=\"matrix%d\" % i))\n",
    "    data[\"matrix%d\" % i] = a[i]\n",
    "    data.attrs['Type'] = \"Experiment Number is: %d\" % n\n",
    "\n",
    "#This is the part, I was asking for\n",
    "datasum=data[\"matrix0\"]\n",
    "for i in range(n-1):\n",
    "    datasum=datasum+data[\"matrix%d\" % (i+1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
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       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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, 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",
       "  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:  (time: 10, x: 5, y: 5, z: 8)\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * z        (z) float64 1.0 1.011 1.023 1.034 1.046 1.057 1.069 1.08\n",
       "  * y        (y) float64 15.0 15.38 15.75 16.12 16.5\n",
       "  * x        (x) float64 15.0 15.38 15.75 16.12 16.5\n",
       "Data variables:\n",
       "    matrix0  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "    matrix1  (time, z, y, x) float64 0.222 0.8707 0.2067 ... 0.5262 0.4034\n",
       "    matrix2  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix3  (time, z, y, x) float64 0.5508 0.7081 0.2909 ... 0.4273 0.7997\n",
       "    matrix4  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix5  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "Attributes:\n",
       "    Type:     Experiment Number is: 6</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5a05444e-0276-41cb-938f-a443c32e3f1d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a05444e-0276-41cb-938f-a443c32e3f1d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>x</span>: 5</li><li><span class='xr-has-index'>y</span>: 5</li><li><span class='xr-has-index'>z</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84f66160-953b-4170-98dd-767d5f27a565' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84f66160-953b-4170-98dd-767d5f27a565' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.89 11.78 ... 17.11 18.0</div><input id='attrs-68bc7572-f0ba-47c9-96e5-bfc52957581c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68bc7572-f0ba-47c9-96e5-bfc52957581c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c78d873-3cb7-422c-b678-775afe376d0c' class='xr-var-data-in' type='checkbox'><label for='data-8c78d873-3cb7-422c-b678-775afe376d0c' 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.      , 10.888889, 11.777778, 12.666667, 13.555556, 14.444444,\n",
       "       15.333333, 16.222222, 17.111111, 18.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.011 1.023 ... 1.069 1.08</div><input id='attrs-efd57cfc-d79c-4f9e-b267-f1263ab13eec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efd57cfc-d79c-4f9e-b267-f1263ab13eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46f0856a-10cf-495c-a905-34c272190a12' class='xr-var-data-in' type='checkbox'><label for='data-46f0856a-10cf-495c-a905-34c272190a12' 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([1.      , 1.011429, 1.022857, 1.034286, 1.045714, 1.057143, 1.068571,\n",
       "       1.08    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.38 15.75 16.12 16.5</div><input id='attrs-ea87e89c-620c-488b-8e5a-31944daaf929' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea87e89c-620c-488b-8e5a-31944daaf929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8848793f-1364-47b8-8069-5e5b6f93fd86' class='xr-var-data-in' type='checkbox'><label for='data-8848793f-1364-47b8-8069-5e5b6f93fd86' 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([15.   , 15.375, 15.75 , 16.125, 16.5  ])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.38 15.75 16.12 16.5</div><input id='attrs-cb2c510f-b82d-44a5-8314-158afce79b97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb2c510f-b82d-44a5-8314-158afce79b97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abda98a8-ba0d-4456-b2c0-23fb3c95e4b2' class='xr-var-data-in' type='checkbox'><label for='data-abda98a8-ba0d-4456-b2c0-23fb3c95e4b2' 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([15.   , 15.375, 15.75 , 16.125, 16.5  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86021d2b-93c3-4a5d-8aae-903cba96b28c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86021d2b-93c3-4a5d-8aae-903cba96b28c' class='xr-section-summary' >Data variables: <span>(6)</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>matrix0</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07631 0.7799 ... 0.03935 0.6486</div><input id='attrs-ff21ab26-c181-45bb-98ba-f444697bcc8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff21ab26-c181-45bb-98ba-f444697bcc8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c839454e-2f90-4ad2-80b6-28d54a7eaf84' class='xr-var-data-in' type='checkbox'><label for='data-c839454e-2f90-4ad2-80b6-28d54a7eaf84' 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([[[[0.07630829, 0.77991879, 0.43840923, 0.72346518, 0.97798951],\n",
       "         [0.53849587, 0.50112046, 0.07205113, 0.26843898, 0.4998825 ],\n",
       "         [0.67923   , 0.80373904, 0.38094113, 0.06593635, 0.2881456 ],\n",
       "         [0.90959353, 0.21338535, 0.45212396, 0.93120602, 0.02489923],\n",
       "         [0.60054892, 0.9501295 , 0.23030288, 0.54848992, 0.90912837]],\n",
       "\n",
       "        [[0.13316945, 0.52341258, 0.75040986, 0.66901324, 0.46775286],\n",
       "         [0.20484909, 0.49076589, 0.37238469, 0.47740115, 0.36589039],\n",
       "         [0.83791799, 0.76864751, 0.31399468, 0.57262533, 0.27604905],\n",
       "         [0.45284293, 0.35297837, 0.65739946, 0.37035108, 0.45909298],\n",
       "         [0.71932412, 0.41299183, 0.90642327, 0.18045162, 0.74111887]],\n",
       "\n",
       "        [[0.42237404, 0.42645357, 0.63437987, 0.5229062 , 0.41488598],\n",
       "         [0.00142688, 0.09226235, 0.70939439, 0.5243456 , 0.69616046],\n",
       "         [0.95546832, 0.68291385, 0.05312869, 0.30885268, 0.59259469],\n",
       "         [0.23512041, 0.964971  , 0.94504822, 0.84840088, 0.472324  ],\n",
       "         [0.84147671, 0.13111064, 0.30873366, 0.46299639, 0.7418472 ]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "...\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.53867124, 0.06083919, 0.32286542, 0.41646089, 0.14157274],\n",
       "         [0.52462349, 0.30942271, 0.06559515, 0.12809161, 0.32784927],\n",
       "         [0.66183041, 0.80024291, 0.48621975, 0.04671257, 0.60698683],\n",
       "         [0.90532062, 0.05152655, 0.34770308, 0.01685709, 0.57729685],\n",
       "         [0.10428672, 0.94093667, 0.40738481, 0.62135723, 0.3287    ]],\n",
       "\n",
       "        [[0.33592618, 0.01153923, 0.86664962, 0.26972395, 0.24835926],\n",
       "         [0.35993789, 0.1841182 , 0.31232599, 0.28111419, 0.97495664],\n",
       "         [0.87627556, 0.28240042, 0.83918711, 0.03813052, 0.56860384],\n",
       "         [0.86351042, 0.21689489, 0.16094814, 0.79412168, 0.65330009],\n",
       "         [0.97414627, 0.15878507, 0.14843409, 0.0553856 , 0.32428646]],\n",
       "\n",
       "        [[0.04772729, 0.61395882, 0.08586695, 0.45423938, 0.51506886],\n",
       "         [0.08635172, 0.69189487, 0.99055129, 0.38928021, 0.51680788],\n",
       "         [0.37525697, 0.97980001, 0.85048636, 0.96870089, 0.38641095],\n",
       "         [0.31633158, 0.01613931, 0.07686307, 0.95632382, 0.58435005],\n",
       "         [0.44608488, 0.15783665, 0.93802745, 0.03935344, 0.64858169]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix1</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.222 0.8707 ... 0.5262 0.4034</div><input id='attrs-8132cdfe-60c4-43cc-822f-ab41ea8cff7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8132cdfe-60c4-43cc-822f-ab41ea8cff7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0b8cf5-8362-4df9-9c03-e6492158fa8d' class='xr-var-data-in' type='checkbox'><label for='data-9b0b8cf5-8362-4df9-9c03-e6492158fa8d' 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([[[[2.21993171e-01, 8.70732306e-01, 2.06719155e-01,\n",
       "          9.18610908e-01, 4.88411189e-01],\n",
       "         [6.11743863e-01, 7.65907856e-01, 5.18417988e-01,\n",
       "          2.96800502e-01, 1.87721229e-01],\n",
       "         [8.07412688e-02, 7.38440296e-01, 4.41309223e-01,\n",
       "          1.58309868e-01, 8.79937031e-01],\n",
       "         [2.74086462e-01, 4.14235019e-01, 2.96079933e-01,\n",
       "          6.28787909e-01, 5.79837810e-01],\n",
       "         [5.99929197e-01, 2.65819118e-01, 2.84685881e-01,\n",
       "          2.53588206e-01, 3.27563948e-01]],\n",
       "\n",
       "        [[1.44164301e-01, 1.65612861e-01, 9.63930529e-01,\n",
       "          9.60226715e-01, 1.88414656e-01],\n",
       "         [2.43065616e-02, 2.04555546e-01, 6.99843614e-01,\n",
       "          7.79514586e-01, 2.29330924e-02],\n",
       "         [5.77662858e-01, 1.64217272e-03, 5.15472612e-01,\n",
       "          6.39795176e-01, 9.85624403e-01],\n",
       "         [2.59097596e-01, 8.02496885e-01, 8.70483087e-01,\n",
       "          9.22749614e-01, 2.21421253e-03],\n",
       "         [4.69488372e-01, 9.81468738e-01, 3.98944804e-01,\n",
       "...\n",
       "          5.56054173e-01, 6.57450277e-02],\n",
       "         [5.10029776e-01, 4.54785534e-01, 7.15603454e-01,\n",
       "          8.77396839e-01, 9.21681283e-01],\n",
       "         [7.23620276e-01, 4.10241634e-01, 5.85823623e-01,\n",
       "          3.99217823e-01, 7.20365161e-02],\n",
       "         [6.56194731e-01, 4.08010884e-01, 4.74893768e-02,\n",
       "          9.72738984e-02, 5.82755627e-01],\n",
       "         [8.95289429e-01, 8.81566781e-01, 9.19500099e-01,\n",
       "          6.68622495e-01, 8.04594201e-01]],\n",
       "\n",
       "        [[4.74657107e-01, 8.07509365e-01, 9.88162042e-01,\n",
       "          4.98501997e-01, 1.21313821e-01],\n",
       "         [6.49782703e-01, 8.75833386e-01, 6.37079451e-01,\n",
       "          7.21125135e-01, 6.51619963e-01],\n",
       "         [2.02212726e-02, 9.56054037e-02, 8.92698412e-01,\n",
       "          9.97678287e-01, 8.27279210e-01],\n",
       "         [6.69279765e-01, 3.48559757e-01, 2.11048790e-01,\n",
       "          9.78357837e-01, 7.88724999e-01],\n",
       "         [3.16929611e-01, 8.78475886e-01, 4.90296711e-01,\n",
       "          5.26210089e-01, 4.03438235e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix2</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01037 0.5019 ... 0.2629 0.5865</div><input id='attrs-8ba70866-963e-4dbc-a3a4-4c1ec9e034c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ba70866-963e-4dbc-a3a4-4c1ec9e034c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd000af7-8820-4903-b2c6-66f4517578d4' class='xr-var-data-in' type='checkbox'><label for='data-dd000af7-8820-4903-b2c6-66f4517578d4' 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([[[[1.03741539e-02, 5.01874592e-01, 4.95773293e-01,\n",
       "          1.33829529e-01, 1.42111085e-01],\n",
       "         [2.18558676e-01, 4.18508181e-01, 2.48101168e-01,\n",
       "          8.40596512e-02, 3.45498640e-01],\n",
       "         [1.66776347e-01, 8.78559086e-01, 9.50964032e-01,\n",
       "          3.87483758e-02, 6.99107391e-01],\n",
       "         [5.72759816e-01, 8.98007118e-01, 6.66898973e-01,\n",
       "          5.47837783e-01, 7.02427424e-01],\n",
       "         [3.86477170e-01, 6.94438678e-01, 8.24870465e-01,\n",
       "          4.65668475e-01, 9.40524410e-01]],\n",
       "\n",
       "        [[8.03739770e-01, 9.83359248e-01, 1.69636258e-01,\n",
       "          5.21084711e-01, 9.45517417e-01],\n",
       "         [6.49540463e-01, 8.60831923e-01, 9.70846012e-01,\n",
       "          1.85541687e-01, 2.43115675e-01],\n",
       "         [8.73400843e-01, 9.06277277e-01, 7.58277987e-01,\n",
       "          3.46901954e-01, 4.63534714e-01],\n",
       "         [6.10537741e-01, 4.96281718e-01, 4.77974014e-01,\n",
       "          4.35555465e-01, 8.70408296e-01],\n",
       "         [1.87358647e-01, 6.87674093e-01, 7.03529174e-01,\n",
       "...\n",
       "          4.75588509e-01, 8.89033238e-01],\n",
       "         [2.84967279e-01, 1.27793211e-01, 2.56918380e-01,\n",
       "          4.92056066e-01, 7.17614388e-01],\n",
       "         [1.03565906e-01, 2.46789292e-01, 1.37118708e-01,\n",
       "          8.40863239e-01, 5.85433716e-01],\n",
       "         [4.67519370e-01, 9.65995126e-01, 3.94125869e-01,\n",
       "          2.80878197e-01, 6.79594976e-01],\n",
       "         [8.19492646e-01, 8.59807169e-01, 6.22345901e-01,\n",
       "          9.83675685e-01, 4.83623149e-01]],\n",
       "\n",
       "        [[5.98512721e-01, 5.34937770e-01, 5.35545465e-01,\n",
       "          8.03168688e-01, 9.67036600e-01],\n",
       "         [6.09177170e-01, 4.40423720e-01, 8.89721703e-01,\n",
       "          4.23452583e-01, 7.31121641e-01],\n",
       "         [1.06799079e-01, 1.88058922e-01, 5.79319109e-01,\n",
       "          7.28977480e-01, 2.70840947e-02],\n",
       "         [8.04509596e-01, 6.28736134e-01, 6.54616201e-01,\n",
       "          8.16792281e-02, 3.31529938e-01],\n",
       "         [4.97808899e-01, 3.51787611e-01, 8.50048463e-01,\n",
       "          2.62891271e-01, 5.86460367e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix3</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5508 0.7081 ... 0.4273 0.7997</div><input id='attrs-20d8bfd5-7c87-4274-802b-1fe89261c23d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20d8bfd5-7c87-4274-802b-1fe89261c23d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53d7e904-f5e6-4b39-9656-758e4b63014d' class='xr-var-data-in' type='checkbox'><label for='data-53d7e904-f5e6-4b39-9656-758e4b63014d' 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([[[[5.50797903e-01, 7.08147823e-01, 2.90904739e-01,\n",
       "          5.10827605e-01, 8.92946954e-01],\n",
       "         [8.96293089e-01, 1.25585310e-01, 2.07242878e-01,\n",
       "          5.14672033e-02, 4.40809844e-01],\n",
       "         [2.98762109e-02, 4.56833224e-01, 6.49144048e-01,\n",
       "          2.78487283e-01, 6.76254902e-01],\n",
       "         [5.90862817e-01, 2.39818824e-02, 5.58854088e-01,\n",
       "          2.59252447e-01, 4.15101197e-01],\n",
       "         [2.83525082e-01, 6.93137918e-01, 4.40453718e-01,\n",
       "          1.56867738e-01, 5.44649018e-01]],\n",
       "\n",
       "        [[7.80314765e-01, 3.06363532e-01, 2.21957884e-01,\n",
       "          3.87971258e-01, 9.36383650e-01],\n",
       "         [9.75995422e-01, 6.72383676e-01, 9.02834109e-01,\n",
       "          8.45750871e-01, 3.77994041e-01],\n",
       "         [9.22170089e-02, 6.53410903e-01, 5.57840762e-01,\n",
       "          3.61564763e-01, 2.25054505e-01],\n",
       "         [4.06519916e-01, 4.68940249e-01, 2.69235578e-01,\n",
       "          2.91792774e-01, 4.57686399e-01],\n",
       "         [8.60533913e-01, 5.86252904e-01, 2.83487862e-01,\n",
       "...\n",
       "          6.01877249e-01, 7.82515443e-01],\n",
       "         [5.49326581e-01, 5.12183083e-02, 4.45849933e-01,\n",
       "          2.18141101e-01, 2.73391492e-01],\n",
       "         [7.95541560e-01, 4.38336099e-01, 5.98871292e-01,\n",
       "          2.47263882e-01, 6.26607442e-03],\n",
       "         [2.27209728e-01, 1.02918863e-01, 9.32189805e-01,\n",
       "          9.15602414e-01, 5.02952611e-01],\n",
       "         [8.55539869e-01, 2.90024543e-01, 8.46559496e-01,\n",
       "          2.55655269e-01, 5.49088579e-01]],\n",
       "\n",
       "        [[3.21567434e-01, 2.90389545e-01, 6.05574007e-01,\n",
       "          2.64206754e-01, 6.92452418e-01],\n",
       "         [9.86822144e-01, 8.93319851e-01, 1.29580321e-01,\n",
       "          1.63370566e-02, 5.16344707e-01],\n",
       "         [8.82048664e-01, 7.08462533e-01, 8.61299968e-01,\n",
       "          6.54231942e-01, 3.90097149e-01],\n",
       "         [3.40949698e-01, 7.11088903e-01, 7.71472911e-01,\n",
       "          8.24122392e-01, 1.96034425e-01],\n",
       "         [3.08685016e-01, 2.45306736e-02, 2.09293356e-01,\n",
       "          4.27314338e-01, 7.99729279e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix4</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01037 0.5019 ... 0.2629 0.5865</div><input id='attrs-e35f7575-58ca-4b55-85cb-a15a56549b5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e35f7575-58ca-4b55-85cb-a15a56549b5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d44e536-b536-4440-9a08-7f0a1bc21be0' class='xr-var-data-in' type='checkbox'><label for='data-5d44e536-b536-4440-9a08-7f0a1bc21be0' 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([[[[1.03741539e-02, 5.01874592e-01, 4.95773293e-01,\n",
       "          1.33829529e-01, 1.42111085e-01],\n",
       "         [2.18558676e-01, 4.18508181e-01, 2.48101168e-01,\n",
       "          8.40596512e-02, 3.45498640e-01],\n",
       "         [1.66776347e-01, 8.78559086e-01, 9.50964032e-01,\n",
       "          3.87483758e-02, 6.99107391e-01],\n",
       "         [5.72759816e-01, 8.98007118e-01, 6.66898973e-01,\n",
       "          5.47837783e-01, 7.02427424e-01],\n",
       "         [3.86477170e-01, 6.94438678e-01, 8.24870465e-01,\n",
       "          4.65668475e-01, 9.40524410e-01]],\n",
       "\n",
       "        [[8.03739770e-01, 9.83359248e-01, 1.69636258e-01,\n",
       "          5.21084711e-01, 9.45517417e-01],\n",
       "         [6.49540463e-01, 8.60831923e-01, 9.70846012e-01,\n",
       "          1.85541687e-01, 2.43115675e-01],\n",
       "         [8.73400843e-01, 9.06277277e-01, 7.58277987e-01,\n",
       "          3.46901954e-01, 4.63534714e-01],\n",
       "         [6.10537741e-01, 4.96281718e-01, 4.77974014e-01,\n",
       "          4.35555465e-01, 8.70408296e-01],\n",
       "         [1.87358647e-01, 6.87674093e-01, 7.03529174e-01,\n",
       "...\n",
       "          4.75588509e-01, 8.89033238e-01],\n",
       "         [2.84967279e-01, 1.27793211e-01, 2.56918380e-01,\n",
       "          4.92056066e-01, 7.17614388e-01],\n",
       "         [1.03565906e-01, 2.46789292e-01, 1.37118708e-01,\n",
       "          8.40863239e-01, 5.85433716e-01],\n",
       "         [4.67519370e-01, 9.65995126e-01, 3.94125869e-01,\n",
       "          2.80878197e-01, 6.79594976e-01],\n",
       "         [8.19492646e-01, 8.59807169e-01, 6.22345901e-01,\n",
       "          9.83675685e-01, 4.83623149e-01]],\n",
       "\n",
       "        [[5.98512721e-01, 5.34937770e-01, 5.35545465e-01,\n",
       "          8.03168688e-01, 9.67036600e-01],\n",
       "         [6.09177170e-01, 4.40423720e-01, 8.89721703e-01,\n",
       "          4.23452583e-01, 7.31121641e-01],\n",
       "         [1.06799079e-01, 1.88058922e-01, 5.79319109e-01,\n",
       "          7.28977480e-01, 2.70840947e-02],\n",
       "         [8.04509596e-01, 6.28736134e-01, 6.54616201e-01,\n",
       "          8.16792281e-02, 3.31529938e-01],\n",
       "         [4.97808899e-01, 3.51787611e-01, 8.50048463e-01,\n",
       "          2.62891271e-01, 5.86460367e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix5</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07631 0.7799 ... 0.03935 0.6486</div><input id='attrs-71188ff4-de2e-41f5-8501-399f5ca55a99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71188ff4-de2e-41f5-8501-399f5ca55a99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60ec05ec-f586-4bad-90a9-83d914bdb8dc' class='xr-var-data-in' type='checkbox'><label for='data-60ec05ec-f586-4bad-90a9-83d914bdb8dc' 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([[[[0.07630829, 0.77991879, 0.43840923, 0.72346518, 0.97798951],\n",
       "         [0.53849587, 0.50112046, 0.07205113, 0.26843898, 0.4998825 ],\n",
       "         [0.67923   , 0.80373904, 0.38094113, 0.06593635, 0.2881456 ],\n",
       "         [0.90959353, 0.21338535, 0.45212396, 0.93120602, 0.02489923],\n",
       "         [0.60054892, 0.9501295 , 0.23030288, 0.54848992, 0.90912837]],\n",
       "\n",
       "        [[0.13316945, 0.52341258, 0.75040986, 0.66901324, 0.46775286],\n",
       "         [0.20484909, 0.49076589, 0.37238469, 0.47740115, 0.36589039],\n",
       "         [0.83791799, 0.76864751, 0.31399468, 0.57262533, 0.27604905],\n",
       "         [0.45284293, 0.35297837, 0.65739946, 0.37035108, 0.45909298],\n",
       "         [0.71932412, 0.41299183, 0.90642327, 0.18045162, 0.74111887]],\n",
       "\n",
       "        [[0.42237404, 0.42645357, 0.63437987, 0.5229062 , 0.41488598],\n",
       "         [0.00142688, 0.09226235, 0.70939439, 0.5243456 , 0.69616046],\n",
       "         [0.95546832, 0.68291385, 0.05312869, 0.30885268, 0.59259469],\n",
       "         [0.23512041, 0.964971  , 0.94504822, 0.84840088, 0.472324  ],\n",
       "         [0.84147671, 0.13111064, 0.30873366, 0.46299639, 0.7418472 ]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "...\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.53867124, 0.06083919, 0.32286542, 0.41646089, 0.14157274],\n",
       "         [0.52462349, 0.30942271, 0.06559515, 0.12809161, 0.32784927],\n",
       "         [0.66183041, 0.80024291, 0.48621975, 0.04671257, 0.60698683],\n",
       "         [0.90532062, 0.05152655, 0.34770308, 0.01685709, 0.57729685],\n",
       "         [0.10428672, 0.94093667, 0.40738481, 0.62135723, 0.3287    ]],\n",
       "\n",
       "        [[0.33592618, 0.01153923, 0.86664962, 0.26972395, 0.24835926],\n",
       "         [0.35993789, 0.1841182 , 0.31232599, 0.28111419, 0.97495664],\n",
       "         [0.87627556, 0.28240042, 0.83918711, 0.03813052, 0.56860384],\n",
       "         [0.86351042, 0.21689489, 0.16094814, 0.79412168, 0.65330009],\n",
       "         [0.97414627, 0.15878507, 0.14843409, 0.0553856 , 0.32428646]],\n",
       "\n",
       "        [[0.04772729, 0.61395882, 0.08586695, 0.45423938, 0.51506886],\n",
       "         [0.08635172, 0.69189487, 0.99055129, 0.38928021, 0.51680788],\n",
       "         [0.37525697, 0.97980001, 0.85048636, 0.96870089, 0.38641095],\n",
       "         [0.31633158, 0.01613931, 0.07686307, 0.95632382, 0.58435005],\n",
       "         [0.44608488, 0.15783665, 0.93802745, 0.03935344, 0.64858169]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6af2e6c6-8914-40f4-8251-90ef743a2f78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6af2e6c6-8914-40f4-8251-90ef743a2f78' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Type :</span></dt><dd>Experiment Number is: 6</dd></dl></div></li></ul></div></div>"
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       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * z        (z) float64 1.0 1.011 1.023 1.034 1.046 1.057 1.069 1.08\n",
       "  * y        (y) float64 15.0 15.38 15.75 16.12 16.5\n",
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       "    matrix0  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "    matrix1  (time, z, y, x) float64 0.222 0.8707 0.2067 ... 0.5262 0.4034\n",
       "    matrix2  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix3  (time, z, y, x) float64 0.5508 0.7081 0.2909 ... 0.4273 0.7997\n",
       "    matrix4  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix5  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "Attributes:\n",
       "    Type:     Experiment Number is: 6"
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     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
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    "data.attrs['Type'] = \"it is a 4 dimensional array created randomly\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 10, x: 5, y: 5, z: 8)\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * z        (z) float64 1.0 1.011 1.023 1.034 1.046 1.057 1.069 1.08\n",
       "  * y        (y) float64 15.0 15.38 15.75 16.12 16.5\n",
       "  * x        (x) float64 15.0 15.38 15.75 16.12 16.5\n",
       "Data variables:\n",
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       "    matrix2  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix3  (time, z, y, x) float64 0.5508 0.7081 0.2909 ... 0.4273 0.7997\n",
       "    matrix4  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix5  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "Attributes:\n",
       "    Type:     it is a 4 dimensional array created randomly</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1f931c04-663b-4ce2-9170-a4c1e7f5c25e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f931c04-663b-4ce2-9170-a4c1e7f5c25e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>x</span>: 5</li><li><span class='xr-has-index'>y</span>: 5</li><li><span class='xr-has-index'>z</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1218e9ff-41f6-412d-8c26-3b881ed2ed4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1218e9ff-41f6-412d-8c26-3b881ed2ed4b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.89 11.78 ... 17.11 18.0</div><input id='attrs-e6bfcf98-8884-42dd-8b68-154b281d3527' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6bfcf98-8884-42dd-8b68-154b281d3527' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3edfa549-8c35-448e-95d0-94457575663a' class='xr-var-data-in' type='checkbox'><label for='data-3edfa549-8c35-448e-95d0-94457575663a' 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.      , 10.888889, 11.777778, 12.666667, 13.555556, 14.444444,\n",
       "       15.333333, 16.222222, 17.111111, 18.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.011 1.023 ... 1.069 1.08</div><input id='attrs-b1e56c8a-7cdc-4605-ae14-635d8722582a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1e56c8a-7cdc-4605-ae14-635d8722582a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-008d4487-1c20-41ce-8493-1987bc95a28f' class='xr-var-data-in' type='checkbox'><label for='data-008d4487-1c20-41ce-8493-1987bc95a28f' 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([1.      , 1.011429, 1.022857, 1.034286, 1.045714, 1.057143, 1.068571,\n",
       "       1.08    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.38 15.75 16.12 16.5</div><input id='attrs-39a13ac7-5901-41c6-8513-3bb1506fce12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39a13ac7-5901-41c6-8513-3bb1506fce12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64f6bba8-7930-42b1-a696-966c1a532b3f' class='xr-var-data-in' type='checkbox'><label for='data-64f6bba8-7930-42b1-a696-966c1a532b3f' 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([15.   , 15.375, 15.75 , 16.125, 16.5  ])</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.38 15.75 16.12 16.5</div><input id='attrs-79f51a34-51e8-4e9f-8cd0-f593d25536bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79f51a34-51e8-4e9f-8cd0-f593d25536bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b6fe82-7d22-4f27-b09a-606a352de6ac' class='xr-var-data-in' type='checkbox'><label for='data-e3b6fe82-7d22-4f27-b09a-606a352de6ac' 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([15.   , 15.375, 15.75 , 16.125, 16.5  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f320c16b-0093-48ef-b72d-1a68d7742812' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f320c16b-0093-48ef-b72d-1a68d7742812' class='xr-section-summary' >Data variables: <span>(6)</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>matrix0</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07631 0.7799 ... 0.03935 0.6486</div><input id='attrs-0100ea81-37f8-4878-a17a-cfa430ca2399' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0100ea81-37f8-4878-a17a-cfa430ca2399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c55ee15-fc00-46ce-a08a-75f51796e573' class='xr-var-data-in' type='checkbox'><label for='data-3c55ee15-fc00-46ce-a08a-75f51796e573' 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([[[[0.07630829, 0.77991879, 0.43840923, 0.72346518, 0.97798951],\n",
       "         [0.53849587, 0.50112046, 0.07205113, 0.26843898, 0.4998825 ],\n",
       "         [0.67923   , 0.80373904, 0.38094113, 0.06593635, 0.2881456 ],\n",
       "         [0.90959353, 0.21338535, 0.45212396, 0.93120602, 0.02489923],\n",
       "         [0.60054892, 0.9501295 , 0.23030288, 0.54848992, 0.90912837]],\n",
       "\n",
       "        [[0.13316945, 0.52341258, 0.75040986, 0.66901324, 0.46775286],\n",
       "         [0.20484909, 0.49076589, 0.37238469, 0.47740115, 0.36589039],\n",
       "         [0.83791799, 0.76864751, 0.31399468, 0.57262533, 0.27604905],\n",
       "         [0.45284293, 0.35297837, 0.65739946, 0.37035108, 0.45909298],\n",
       "         [0.71932412, 0.41299183, 0.90642327, 0.18045162, 0.74111887]],\n",
       "\n",
       "        [[0.42237404, 0.42645357, 0.63437987, 0.5229062 , 0.41488598],\n",
       "         [0.00142688, 0.09226235, 0.70939439, 0.5243456 , 0.69616046],\n",
       "         [0.95546832, 0.68291385, 0.05312869, 0.30885268, 0.59259469],\n",
       "         [0.23512041, 0.964971  , 0.94504822, 0.84840088, 0.472324  ],\n",
       "         [0.84147671, 0.13111064, 0.30873366, 0.46299639, 0.7418472 ]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "...\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.53867124, 0.06083919, 0.32286542, 0.41646089, 0.14157274],\n",
       "         [0.52462349, 0.30942271, 0.06559515, 0.12809161, 0.32784927],\n",
       "         [0.66183041, 0.80024291, 0.48621975, 0.04671257, 0.60698683],\n",
       "         [0.90532062, 0.05152655, 0.34770308, 0.01685709, 0.57729685],\n",
       "         [0.10428672, 0.94093667, 0.40738481, 0.62135723, 0.3287    ]],\n",
       "\n",
       "        [[0.33592618, 0.01153923, 0.86664962, 0.26972395, 0.24835926],\n",
       "         [0.35993789, 0.1841182 , 0.31232599, 0.28111419, 0.97495664],\n",
       "         [0.87627556, 0.28240042, 0.83918711, 0.03813052, 0.56860384],\n",
       "         [0.86351042, 0.21689489, 0.16094814, 0.79412168, 0.65330009],\n",
       "         [0.97414627, 0.15878507, 0.14843409, 0.0553856 , 0.32428646]],\n",
       "\n",
       "        [[0.04772729, 0.61395882, 0.08586695, 0.45423938, 0.51506886],\n",
       "         [0.08635172, 0.69189487, 0.99055129, 0.38928021, 0.51680788],\n",
       "         [0.37525697, 0.97980001, 0.85048636, 0.96870089, 0.38641095],\n",
       "         [0.31633158, 0.01613931, 0.07686307, 0.95632382, 0.58435005],\n",
       "         [0.44608488, 0.15783665, 0.93802745, 0.03935344, 0.64858169]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix1</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.222 0.8707 ... 0.5262 0.4034</div><input id='attrs-1c952a6e-073f-45fa-a59b-e42645194948' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c952a6e-073f-45fa-a59b-e42645194948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b7436fe-72bb-4ce8-b7f7-f25fdc42c8e5' class='xr-var-data-in' type='checkbox'><label for='data-1b7436fe-72bb-4ce8-b7f7-f25fdc42c8e5' 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([[[[2.21993171e-01, 8.70732306e-01, 2.06719155e-01,\n",
       "          9.18610908e-01, 4.88411189e-01],\n",
       "         [6.11743863e-01, 7.65907856e-01, 5.18417988e-01,\n",
       "          2.96800502e-01, 1.87721229e-01],\n",
       "         [8.07412688e-02, 7.38440296e-01, 4.41309223e-01,\n",
       "          1.58309868e-01, 8.79937031e-01],\n",
       "         [2.74086462e-01, 4.14235019e-01, 2.96079933e-01,\n",
       "          6.28787909e-01, 5.79837810e-01],\n",
       "         [5.99929197e-01, 2.65819118e-01, 2.84685881e-01,\n",
       "          2.53588206e-01, 3.27563948e-01]],\n",
       "\n",
       "        [[1.44164301e-01, 1.65612861e-01, 9.63930529e-01,\n",
       "          9.60226715e-01, 1.88414656e-01],\n",
       "         [2.43065616e-02, 2.04555546e-01, 6.99843614e-01,\n",
       "          7.79514586e-01, 2.29330924e-02],\n",
       "         [5.77662858e-01, 1.64217272e-03, 5.15472612e-01,\n",
       "          6.39795176e-01, 9.85624403e-01],\n",
       "         [2.59097596e-01, 8.02496885e-01, 8.70483087e-01,\n",
       "          9.22749614e-01, 2.21421253e-03],\n",
       "         [4.69488372e-01, 9.81468738e-01, 3.98944804e-01,\n",
       "...\n",
       "          5.56054173e-01, 6.57450277e-02],\n",
       "         [5.10029776e-01, 4.54785534e-01, 7.15603454e-01,\n",
       "          8.77396839e-01, 9.21681283e-01],\n",
       "         [7.23620276e-01, 4.10241634e-01, 5.85823623e-01,\n",
       "          3.99217823e-01, 7.20365161e-02],\n",
       "         [6.56194731e-01, 4.08010884e-01, 4.74893768e-02,\n",
       "          9.72738984e-02, 5.82755627e-01],\n",
       "         [8.95289429e-01, 8.81566781e-01, 9.19500099e-01,\n",
       "          6.68622495e-01, 8.04594201e-01]],\n",
       "\n",
       "        [[4.74657107e-01, 8.07509365e-01, 9.88162042e-01,\n",
       "          4.98501997e-01, 1.21313821e-01],\n",
       "         [6.49782703e-01, 8.75833386e-01, 6.37079451e-01,\n",
       "          7.21125135e-01, 6.51619963e-01],\n",
       "         [2.02212726e-02, 9.56054037e-02, 8.92698412e-01,\n",
       "          9.97678287e-01, 8.27279210e-01],\n",
       "         [6.69279765e-01, 3.48559757e-01, 2.11048790e-01,\n",
       "          9.78357837e-01, 7.88724999e-01],\n",
       "         [3.16929611e-01, 8.78475886e-01, 4.90296711e-01,\n",
       "          5.26210089e-01, 4.03438235e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix2</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01037 0.5019 ... 0.2629 0.5865</div><input id='attrs-d34c6352-7660-4cdc-a6cd-a1b9c9b25ee4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d34c6352-7660-4cdc-a6cd-a1b9c9b25ee4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb41d3fb-93f0-4305-82b2-ebe5513f29a6' class='xr-var-data-in' type='checkbox'><label for='data-eb41d3fb-93f0-4305-82b2-ebe5513f29a6' 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([[[[1.03741539e-02, 5.01874592e-01, 4.95773293e-01,\n",
       "          1.33829529e-01, 1.42111085e-01],\n",
       "         [2.18558676e-01, 4.18508181e-01, 2.48101168e-01,\n",
       "          8.40596512e-02, 3.45498640e-01],\n",
       "         [1.66776347e-01, 8.78559086e-01, 9.50964032e-01,\n",
       "          3.87483758e-02, 6.99107391e-01],\n",
       "         [5.72759816e-01, 8.98007118e-01, 6.66898973e-01,\n",
       "          5.47837783e-01, 7.02427424e-01],\n",
       "         [3.86477170e-01, 6.94438678e-01, 8.24870465e-01,\n",
       "          4.65668475e-01, 9.40524410e-01]],\n",
       "\n",
       "        [[8.03739770e-01, 9.83359248e-01, 1.69636258e-01,\n",
       "          5.21084711e-01, 9.45517417e-01],\n",
       "         [6.49540463e-01, 8.60831923e-01, 9.70846012e-01,\n",
       "          1.85541687e-01, 2.43115675e-01],\n",
       "         [8.73400843e-01, 9.06277277e-01, 7.58277987e-01,\n",
       "          3.46901954e-01, 4.63534714e-01],\n",
       "         [6.10537741e-01, 4.96281718e-01, 4.77974014e-01,\n",
       "          4.35555465e-01, 8.70408296e-01],\n",
       "         [1.87358647e-01, 6.87674093e-01, 7.03529174e-01,\n",
       "...\n",
       "          4.75588509e-01, 8.89033238e-01],\n",
       "         [2.84967279e-01, 1.27793211e-01, 2.56918380e-01,\n",
       "          4.92056066e-01, 7.17614388e-01],\n",
       "         [1.03565906e-01, 2.46789292e-01, 1.37118708e-01,\n",
       "          8.40863239e-01, 5.85433716e-01],\n",
       "         [4.67519370e-01, 9.65995126e-01, 3.94125869e-01,\n",
       "          2.80878197e-01, 6.79594976e-01],\n",
       "         [8.19492646e-01, 8.59807169e-01, 6.22345901e-01,\n",
       "          9.83675685e-01, 4.83623149e-01]],\n",
       "\n",
       "        [[5.98512721e-01, 5.34937770e-01, 5.35545465e-01,\n",
       "          8.03168688e-01, 9.67036600e-01],\n",
       "         [6.09177170e-01, 4.40423720e-01, 8.89721703e-01,\n",
       "          4.23452583e-01, 7.31121641e-01],\n",
       "         [1.06799079e-01, 1.88058922e-01, 5.79319109e-01,\n",
       "          7.28977480e-01, 2.70840947e-02],\n",
       "         [8.04509596e-01, 6.28736134e-01, 6.54616201e-01,\n",
       "          8.16792281e-02, 3.31529938e-01],\n",
       "         [4.97808899e-01, 3.51787611e-01, 8.50048463e-01,\n",
       "          2.62891271e-01, 5.86460367e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix3</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5508 0.7081 ... 0.4273 0.7997</div><input id='attrs-c30f16be-f3ab-4a9c-84b5-374db234505b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c30f16be-f3ab-4a9c-84b5-374db234505b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d02c1e9-3b99-4ce3-8147-f743c71ef5de' class='xr-var-data-in' type='checkbox'><label for='data-6d02c1e9-3b99-4ce3-8147-f743c71ef5de' 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([[[[5.50797903e-01, 7.08147823e-01, 2.90904739e-01,\n",
       "          5.10827605e-01, 8.92946954e-01],\n",
       "         [8.96293089e-01, 1.25585310e-01, 2.07242878e-01,\n",
       "          5.14672033e-02, 4.40809844e-01],\n",
       "         [2.98762109e-02, 4.56833224e-01, 6.49144048e-01,\n",
       "          2.78487283e-01, 6.76254902e-01],\n",
       "         [5.90862817e-01, 2.39818824e-02, 5.58854088e-01,\n",
       "          2.59252447e-01, 4.15101197e-01],\n",
       "         [2.83525082e-01, 6.93137918e-01, 4.40453718e-01,\n",
       "          1.56867738e-01, 5.44649018e-01]],\n",
       "\n",
       "        [[7.80314765e-01, 3.06363532e-01, 2.21957884e-01,\n",
       "          3.87971258e-01, 9.36383650e-01],\n",
       "         [9.75995422e-01, 6.72383676e-01, 9.02834109e-01,\n",
       "          8.45750871e-01, 3.77994041e-01],\n",
       "         [9.22170089e-02, 6.53410903e-01, 5.57840762e-01,\n",
       "          3.61564763e-01, 2.25054505e-01],\n",
       "         [4.06519916e-01, 4.68940249e-01, 2.69235578e-01,\n",
       "          2.91792774e-01, 4.57686399e-01],\n",
       "         [8.60533913e-01, 5.86252904e-01, 2.83487862e-01,\n",
       "...\n",
       "          6.01877249e-01, 7.82515443e-01],\n",
       "         [5.49326581e-01, 5.12183083e-02, 4.45849933e-01,\n",
       "          2.18141101e-01, 2.73391492e-01],\n",
       "         [7.95541560e-01, 4.38336099e-01, 5.98871292e-01,\n",
       "          2.47263882e-01, 6.26607442e-03],\n",
       "         [2.27209728e-01, 1.02918863e-01, 9.32189805e-01,\n",
       "          9.15602414e-01, 5.02952611e-01],\n",
       "         [8.55539869e-01, 2.90024543e-01, 8.46559496e-01,\n",
       "          2.55655269e-01, 5.49088579e-01]],\n",
       "\n",
       "        [[3.21567434e-01, 2.90389545e-01, 6.05574007e-01,\n",
       "          2.64206754e-01, 6.92452418e-01],\n",
       "         [9.86822144e-01, 8.93319851e-01, 1.29580321e-01,\n",
       "          1.63370566e-02, 5.16344707e-01],\n",
       "         [8.82048664e-01, 7.08462533e-01, 8.61299968e-01,\n",
       "          6.54231942e-01, 3.90097149e-01],\n",
       "         [3.40949698e-01, 7.11088903e-01, 7.71472911e-01,\n",
       "          8.24122392e-01, 1.96034425e-01],\n",
       "         [3.08685016e-01, 2.45306736e-02, 2.09293356e-01,\n",
       "          4.27314338e-01, 7.99729279e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix4</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01037 0.5019 ... 0.2629 0.5865</div><input id='attrs-77012fd2-644e-4e50-a8ef-76423250eb86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77012fd2-644e-4e50-a8ef-76423250eb86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beb66b28-7562-4f89-90aa-0b24aa6d1210' class='xr-var-data-in' type='checkbox'><label for='data-beb66b28-7562-4f89-90aa-0b24aa6d1210' 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([[[[1.03741539e-02, 5.01874592e-01, 4.95773293e-01,\n",
       "          1.33829529e-01, 1.42111085e-01],\n",
       "         [2.18558676e-01, 4.18508181e-01, 2.48101168e-01,\n",
       "          8.40596512e-02, 3.45498640e-01],\n",
       "         [1.66776347e-01, 8.78559086e-01, 9.50964032e-01,\n",
       "          3.87483758e-02, 6.99107391e-01],\n",
       "         [5.72759816e-01, 8.98007118e-01, 6.66898973e-01,\n",
       "          5.47837783e-01, 7.02427424e-01],\n",
       "         [3.86477170e-01, 6.94438678e-01, 8.24870465e-01,\n",
       "          4.65668475e-01, 9.40524410e-01]],\n",
       "\n",
       "        [[8.03739770e-01, 9.83359248e-01, 1.69636258e-01,\n",
       "          5.21084711e-01, 9.45517417e-01],\n",
       "         [6.49540463e-01, 8.60831923e-01, 9.70846012e-01,\n",
       "          1.85541687e-01, 2.43115675e-01],\n",
       "         [8.73400843e-01, 9.06277277e-01, 7.58277987e-01,\n",
       "          3.46901954e-01, 4.63534714e-01],\n",
       "         [6.10537741e-01, 4.96281718e-01, 4.77974014e-01,\n",
       "          4.35555465e-01, 8.70408296e-01],\n",
       "         [1.87358647e-01, 6.87674093e-01, 7.03529174e-01,\n",
       "...\n",
       "          4.75588509e-01, 8.89033238e-01],\n",
       "         [2.84967279e-01, 1.27793211e-01, 2.56918380e-01,\n",
       "          4.92056066e-01, 7.17614388e-01],\n",
       "         [1.03565906e-01, 2.46789292e-01, 1.37118708e-01,\n",
       "          8.40863239e-01, 5.85433716e-01],\n",
       "         [4.67519370e-01, 9.65995126e-01, 3.94125869e-01,\n",
       "          2.80878197e-01, 6.79594976e-01],\n",
       "         [8.19492646e-01, 8.59807169e-01, 6.22345901e-01,\n",
       "          9.83675685e-01, 4.83623149e-01]],\n",
       "\n",
       "        [[5.98512721e-01, 5.34937770e-01, 5.35545465e-01,\n",
       "          8.03168688e-01, 9.67036600e-01],\n",
       "         [6.09177170e-01, 4.40423720e-01, 8.89721703e-01,\n",
       "          4.23452583e-01, 7.31121641e-01],\n",
       "         [1.06799079e-01, 1.88058922e-01, 5.79319109e-01,\n",
       "          7.28977480e-01, 2.70840947e-02],\n",
       "         [8.04509596e-01, 6.28736134e-01, 6.54616201e-01,\n",
       "          8.16792281e-02, 3.31529938e-01],\n",
       "         [4.97808899e-01, 3.51787611e-01, 8.50048463e-01,\n",
       "          2.62891271e-01, 5.86460367e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>matrix5</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07631 0.7799 ... 0.03935 0.6486</div><input id='attrs-f742bfe1-8984-4a11-9e1d-0deaed4b96af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f742bfe1-8984-4a11-9e1d-0deaed4b96af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a78122a-5bc2-4978-9783-e46a2bca1166' class='xr-var-data-in' type='checkbox'><label for='data-5a78122a-5bc2-4978-9783-e46a2bca1166' 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([[[[0.07630829, 0.77991879, 0.43840923, 0.72346518, 0.97798951],\n",
       "         [0.53849587, 0.50112046, 0.07205113, 0.26843898, 0.4998825 ],\n",
       "         [0.67923   , 0.80373904, 0.38094113, 0.06593635, 0.2881456 ],\n",
       "         [0.90959353, 0.21338535, 0.45212396, 0.93120602, 0.02489923],\n",
       "         [0.60054892, 0.9501295 , 0.23030288, 0.54848992, 0.90912837]],\n",
       "\n",
       "        [[0.13316945, 0.52341258, 0.75040986, 0.66901324, 0.46775286],\n",
       "         [0.20484909, 0.49076589, 0.37238469, 0.47740115, 0.36589039],\n",
       "         [0.83791799, 0.76864751, 0.31399468, 0.57262533, 0.27604905],\n",
       "         [0.45284293, 0.35297837, 0.65739946, 0.37035108, 0.45909298],\n",
       "         [0.71932412, 0.41299183, 0.90642327, 0.18045162, 0.74111887]],\n",
       "\n",
       "        [[0.42237404, 0.42645357, 0.63437987, 0.5229062 , 0.41488598],\n",
       "         [0.00142688, 0.09226235, 0.70939439, 0.5243456 , 0.69616046],\n",
       "         [0.95546832, 0.68291385, 0.05312869, 0.30885268, 0.59259469],\n",
       "         [0.23512041, 0.964971  , 0.94504822, 0.84840088, 0.472324  ],\n",
       "         [0.84147671, 0.13111064, 0.30873366, 0.46299639, 0.7418472 ]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "...\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.53867124, 0.06083919, 0.32286542, 0.41646089, 0.14157274],\n",
       "         [0.52462349, 0.30942271, 0.06559515, 0.12809161, 0.32784927],\n",
       "         [0.66183041, 0.80024291, 0.48621975, 0.04671257, 0.60698683],\n",
       "         [0.90532062, 0.05152655, 0.34770308, 0.01685709, 0.57729685],\n",
       "         [0.10428672, 0.94093667, 0.40738481, 0.62135723, 0.3287    ]],\n",
       "\n",
       "        [[0.33592618, 0.01153923, 0.86664962, 0.26972395, 0.24835926],\n",
       "         [0.35993789, 0.1841182 , 0.31232599, 0.28111419, 0.97495664],\n",
       "         [0.87627556, 0.28240042, 0.83918711, 0.03813052, 0.56860384],\n",
       "         [0.86351042, 0.21689489, 0.16094814, 0.79412168, 0.65330009],\n",
       "         [0.97414627, 0.15878507, 0.14843409, 0.0553856 , 0.32428646]],\n",
       "\n",
       "        [[0.04772729, 0.61395882, 0.08586695, 0.45423938, 0.51506886],\n",
       "         [0.08635172, 0.69189487, 0.99055129, 0.38928021, 0.51680788],\n",
       "         [0.37525697, 0.97980001, 0.85048636, 0.96870089, 0.38641095],\n",
       "         [0.31633158, 0.01613931, 0.07686307, 0.95632382, 0.58435005],\n",
       "         [0.44608488, 0.15783665, 0.93802745, 0.03935344, 0.64858169]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9fd93da-c5ab-4c69-bfb4-e1ab8663e64e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9fd93da-c5ab-4c69-bfb4-e1ab8663e64e' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Type :</span></dt><dd>it is a 4 dimensional array created randomly</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 10, x: 5, y: 5, z: 8)\n",
       "Coordinates:\n",
       "  * time     (time) float64 10.0 10.89 11.78 12.67 ... 15.33 16.22 17.11 18.0\n",
       "  * z        (z) float64 1.0 1.011 1.023 1.034 1.046 1.057 1.069 1.08\n",
       "  * y        (y) float64 15.0 15.38 15.75 16.12 16.5\n",
       "  * x        (x) float64 15.0 15.38 15.75 16.12 16.5\n",
       "Data variables:\n",
       "    matrix0  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "    matrix1  (time, z, y, x) float64 0.222 0.8707 0.2067 ... 0.5262 0.4034\n",
       "    matrix2  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix3  (time, z, y, x) float64 0.5508 0.7081 0.2909 ... 0.4273 0.7997\n",
       "    matrix4  (time, z, y, x) float64 0.01037 0.5019 0.4958 ... 0.2629 0.5865\n",
       "    matrix5  (time, z, y, x) float64 0.07631 0.7799 0.4384 ... 0.03935 0.6486\n",
       "Attributes:\n",
       "    Type:     it is a 4 dimensional array created randomly"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
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