Reader_HDF5_NEEL.ipynb

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    "## **Dataset extraction and visualization of hdf5 file from NEEL**\n",
    "- Version: 2.0 <br>\n",
    "- Author: William Rigaut <br>\n",
    "- Date: 20.01.2025  <br>\n",
    "- Package developped at Institut Néel to visualize and extract data from .hdf5 files."
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    "### **1. Introduction**"
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    "<p>An <b>HDF5</b> datafile compiled from high-throughput experiments at Institut Néel contains different measurement scans for each point in a 2D-grid over a thin film deposited on a 100mm substrate. This 2D-grid contains a point every 5mm centered around the center of the wafer itself, by considering the circular shape of the substrate one datafile contains 249 scans for each main characterization technique.</p>\n",
    "\n",
    "<p>At each position, four main characterization techniques can be performed: <p>\n",
    "\n",
    "- <b>Energy Dispersive X-ray spectroscopy (EDX)</b> where element composition can be determined using a scanning electron microscope.\n",
    "\n",
    "- <b>Scanning Magneto Optics Kerr Effect (MOKE)</b> where the coercive field on the surface of a magnetic thin film can be obtained by a fast optical measurement under a pulsed magnetic field.\n",
    "\n",
    "- <b>X-Ray Diffraction (XRD)</b> where structural properties can be determined (Phases and lattice parameters) using either a automated laboratory diffractometer or synchrotron radiation.\n",
    "\n",
    "- <b>Profilometry (DEKTAK)</b>  is also used to estimate magnetic film thickness at every position with a calibration experiment using a patterned substrate. This technique is new and it has not been applied to older datasets. Profilometry data will be added in a futur version of the package and is currently not supported.\n",
    "\n",
    "The HDF5 file structure is defined using a standard very similar to the <b>NeXuS hdf5 file format</b> used in synchrotron facilities (https://www.nexusformat.org/)."
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    "### **2. Read and display data from hdf5 file using a GUI**"
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    "Before starting, you can download the example dataset [here](https://drive.google.com/file/d/1mE-7jC6ur7xdcSRf6CvO0iAE3oxIJdZA/view?usp=sharing). This file contains a full dataset for the (NdLaCe)FeB system.\n",
    "\n",
    "A first overview of the HDF5 datafile can be done using a graphical user interface (GUI) program such as:\n",
    "- `pyMca` http://www.silx.org/doc/PyMca/dev/install.html\n",
    "- `hdf5view` https://pypi.org/project/hdf5view/\n",
    "\n",
    "<p>Without GUI, the python module <b>h5py</b>, which is actually used by the reader can also be considered.</p>\n",
    "\n",
    "<p>Here is an example with the PyMca software:</p>"
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    "![HDF5 file display using PyMca software](examples/Figure_1-PyMca.png)"
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    "Inside the hdf5 file you will be able to find a first subgroup labeled `entry`, containing 4 groups:\n",
    "- `edx` containing all EDX scans at each wafer position.\n",
    "- `moke` containing all MOKE scans at each wafer position.\n",
    "- `sample` containing basic sample info such as layer structure, deposition temperature, ect...\n",
    "- `xrd` containing all XRD scans at each wafer position.\n",
    "\n",
    "These group will be reviewed in more details using the reader itself, but feel free to explore the dataset on your own and please ask me if you find something you think is not very clear or convenient."
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    "### **3. Using the hdf5 reader from Institut Néel**"
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   "source": [
    "##### **3.1 Default xarray full dataset**"
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   "source": [
    "First, you can import the `read_hdf5` functions along the `pathlib` python library to use path that are OS independant."
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   "source": [
    "import packages.readers.read_hdf5 as read_hdf5\n",
    "import pathlib"
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    "Then you simply need to specify the path to your HDF5 datafile using the following command: "
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    "HDF5_path = pathlib.Path(\"./data/2711_LaCeNdFeB.hdf5\")"
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    "The package `read_hdf5` includes a function `get_full_dataset()` that will read inside the HDF5 file to retrieve <b>composition</b>, <b>coercivity</b> and <b>lattice parameters</b> of all the fitted phases for every position using an xarray. You can call it by using the following:\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 19kB\n",
       "Dimensions:                       (y: 17, x: 17)\n",
       "Coordinates:\n",
       "  * y                             (y) int64 136B -40 -35 -30 -25 ... 25 30 35 40\n",
       "  * x                             (x) int64 136B -40 -35 -30 -25 ... 25 30 35 40\n",
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       "    Ce Composition                (y, x) float64 2kB nan nan nan ... nan nan nan\n",
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       "    CubicRE Lattice Parameter A   (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Nd2Fe14B Lattice Parameter A  (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Nd2Fe14B Lattice Parameter C  (y, x) float64 2kB nan nan nan ... nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-868d0d15-8d9f-45e6-bd44-79774a86ef54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-868d0d15-8d9f-45e6-bd44-79774a86ef54' 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'>y</span>: 17</li><li><span class='xr-has-index'>x</span>: 17</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-10b7159f-936d-4c81-a235-34223926ee66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10b7159f-936d-4c81-a235-34223926ee66' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-0764b2e7-aa1b-486d-be35-6893bb68aeca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0764b2e7-aa1b-486d-be35-6893bb68aeca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9836d041-06e0-40b5-938f-4bd5f6b9ae5d' class='xr-var-data-in' type='checkbox'><label for='data-9836d041-06e0-40b5-938f-4bd5f6b9ae5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</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'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-71d9c4e6-7cab-48a0-b0b6-564114563ad2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71d9c4e6-7cab-48a0-b0b6-564114563ad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b85a2f1-4d46-43a5-8165-711f3647e934' class='xr-var-data-in' type='checkbox'><label for='data-4b85a2f1-4d46-43a5-8165-711f3647e934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47dacda8-d024-4997-9497-cbe4eb4824e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47dacda8-d024-4997-9497-cbe4eb4824e0' class='xr-section-summary' >Data variables: <span>(8)</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>Ce Composition</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-15cffbea-334e-4c31-8393-f89d1176b35f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15cffbea-334e-4c31-8393-f89d1176b35f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c50f81-18b5-4e59-9da6-e5eb74d92a6b' class='xr-var-data-in' type='checkbox'><label for='data-00c50f81-18b5-4e59-9da6-e5eb74d92a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>at.%</dd></dl></div><div class='xr-var-data'><pre>array([[        nan,         nan,         nan,         nan,  8.64823377,\n",
       "         8.13487668,  7.66086299,  7.04161007,  6.58176738,  5.95875775,\n",
       "         5.57015543,  5.06120476,  4.6905186 ,         nan,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,  9.15459059,  8.67608173,\n",
       "         8.14872719,  7.70105468,  7.00849418,  6.52481828,  5.94918585,\n",
       "         5.57806391,  5.07747001,  4.69746647,  4.350747  ,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,  9.63605167,  9.1249546 ,  8.62755903,\n",
       "         8.04745387,  7.71239795,  7.04186863,  6.56881104,  6.08870563,\n",
       "         5.4781801 ,  5.10565796,  4.712785  ,  4.24558875,  3.92293928,\n",
       "                nan,         nan],\n",
       "       [        nan, 10.03736853,  9.54236243,  9.09563874,  8.62371839,\n",
       "         8.15701932,  7.52578987,  7.13623453,  6.63844589,  5.97732561,\n",
       "         5.53934907,  5.04261928,  4.72009361,  4.31112931,  4.01064442,\n",
       "         3.64809907,         nan],\n",
       "       [10.36304111,  9.94113987,  9.58119034,  9.08580556,  8.61207924,\n",
       "         8.13974543,  7.58986744,  7.02091066,  6.57026549,  6.04574987,\n",
       "         5.50877699,  5.09387058,  4.69898253,  4.2730601 ,  3.99339657,\n",
       "         3.72331913,  3.3811341 ],\n",
       "...\n",
       "       [ 9.01954298,  8.66041307,  8.37801643,  7.91106118,  7.56567839,\n",
       "         7.05260218,  6.65171036,  6.10535224,  5.92835329,  5.44495987,\n",
       "         5.1189295 ,  4.71352886,  4.44031831,  4.15648295,  3.90394704,\n",
       "         3.75582904,  3.50804801],\n",
       "       [        nan,  8.66091929,  8.19166653,  7.81552258,  7.4012815 ,\n",
       "         6.92068785,  6.60937755,  6.15578645,  5.79077992,  5.3518604 ,\n",
       "         5.00720299,  4.68975184,  4.4157149 ,  4.12793304,  3.97485016,\n",
       "         3.7413649 ,         nan],\n",
       "       [        nan,         nan,  8.09780399,  7.7467865 ,  7.31619609,\n",
       "         6.84016895,  6.35655808,  6.08504916,  5.65427702,  5.41949378,\n",
       "         4.90373447,  4.70050682,  4.40729676,  4.12836247,  3.88722549,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,  7.56687037,  7.01829261,\n",
       "         6.68558981,  6.37564748,  6.05703688,  5.55179592,  5.31094389,\n",
       "         5.02568022,  4.66879536,  4.34596364,  4.15446855,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,         nan,  6.94450669,\n",
       "         6.56278532,  6.29737925,  5.80143207,  5.55414262,  5.09986126,\n",
       "         4.88551699,  4.61384406,  4.2774415 ,         nan,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fe Composition</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ea9387c0-04b1-400a-b018-b5b2568b40df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea9387c0-04b1-400a-b018-b5b2568b40df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02cabbb4-c19b-484f-96e7-5b47a53f86fd' class='xr-var-data-in' type='checkbox'><label for='data-02cabbb4-c19b-484f-96e7-5b47a53f86fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>at.%</dd></dl></div><div class='xr-var-data'><pre>array([[        nan,         nan,         nan,         nan, 83.43953856,\n",
       "        83.37423662, 83.39145453, 83.35851751, 83.34639378, 83.06989561,\n",
       "        83.08991491, 83.05234851, 83.09910186,         nan,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, 83.60208365, 83.38375805,\n",
       "        83.47102024, 83.37573753, 83.28491723, 83.26357565, 83.29025465,\n",
       "        83.1704453 , 83.05450339, 83.13989397, 83.28254778,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan, 83.58146291, 83.53054526, 83.57567567,\n",
       "        83.67577676, 83.26006222, 83.4018646 , 83.19398303, 83.18026617,\n",
       "        83.29995003, 83.04263698, 83.19107637, 83.3182448 , 83.52994293,\n",
       "                nan,         nan],\n",
       "       [        nan, 83.72916058, 83.69573272, 83.69727932, 83.56428754,\n",
       "        83.50850095, 83.49721592, 83.42052172, 83.26423509, 83.28525321,\n",
       "        83.26394083, 83.25038476, 83.28241887, 83.32417492, 83.59394215,\n",
       "        83.9414963 ,         nan],\n",
       "       [83.82755181, 83.78440693, 83.84164757, 83.65277917, 83.55091306,\n",
       "        83.50461876, 83.45072717, 83.43359346, 83.25538362, 83.26275099,\n",
       "        83.26873804, 83.26857312, 83.34504214, 83.53497026, 83.69825625,\n",
       "        83.82435329, 84.24434369],\n",
       "...\n",
       "       [84.26423891, 84.00881701, 83.86200649, 83.46705564, 83.32564952,\n",
       "        83.02089527, 82.80713334, 82.47114376, 82.11380035, 81.94847525,\n",
       "        81.93582508, 81.77287502, 81.85009012, 81.84551598, 82.23894855,\n",
       "        82.42674712, 82.96862707],\n",
       "       [        nan, 84.00919302, 83.83455995, 83.42937569, 83.35739186,\n",
       "        82.94198091, 82.6311392 , 82.34428512, 81.92829298, 81.9971861 ,\n",
       "        81.80034993, 81.68953735, 81.82061699, 81.75550131, 81.96292572,\n",
       "        82.39816769,         nan],\n",
       "       [        nan,         nan, 83.79522976, 83.51845527, 83.11976477,\n",
       "        83.01924247, 82.76475425, 82.31605883, 82.09600199, 81.8896394 ,\n",
       "        81.83962333, 81.73748609, 81.6787519 , 81.85277055, 82.15556739,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, 83.57576009, 83.40818343,\n",
       "        83.13911923, 82.58778046, 82.2954082 , 82.40376283, 81.80065702,\n",
       "        81.5876859 , 81.73166872, 82.01172482, 81.98379927,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,         nan, 83.46293831,\n",
       "        83.06902002, 82.79940946, 82.48605634, 82.28611955, 82.34217871,\n",
       "        82.16023311, 82.0635209 , 81.84975123,         nan,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>La Composition</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-653da087-aa3b-488d-8927-469e1d01e947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-653da087-aa3b-488d-8927-469e1d01e947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10b63468-c429-41a1-b65e-c889ff19178d' class='xr-var-data-in' type='checkbox'><label for='data-10b63468-c429-41a1-b65e-c889ff19178d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>at.%</dd></dl></div><div class='xr-var-data'><pre>array([[       nan,        nan,        nan,        nan, 1.80627331,\n",
       "        1.88213974, 1.91428781, 1.97190515, 2.00120504, 2.10748017,\n",
       "        2.07498708, 2.09893998, 2.09092057,        nan,        nan,\n",
       "               nan,        nan],\n",
       "       [       nan,        nan,        nan, 1.79570302, 1.95706117,\n",
       "        2.0033166 , 2.11365173, 2.27150638, 2.21609788, 2.28710925,\n",
       "        2.301365  , 2.38265665, 2.32865655, 2.3293178 ,        nan,\n",
       "               nan,        nan],\n",
       "       [       nan,        nan, 1.87620931, 1.97725874, 2.12029997,\n",
       "        2.20563761, 2.42761402, 2.41305381, 2.58743804, 2.65610795,\n",
       "        2.59799608, 2.6670686 , 2.63864347, 2.58336289, 2.50873754,\n",
       "               nan,        nan],\n",
       "       [       nan, 1.840104  , 2.02253331, 2.14882242, 2.34083477,\n",
       "        2.40842794, 2.63891122, 2.72275844, 2.91085525, 2.97297918,\n",
       "        3.05605048, 3.02288969, 3.02207816, 3.0232975 , 2.91045964,\n",
       "        2.83515218,        nan],\n",
       "       [1.93129409, 2.07549721, 2.1999675 , 2.37826232, 2.61693466,\n",
       "        2.86855051, 2.97960843, 3.17533978, 3.34118943, 3.42174978,\n",
       "        3.48353098, 3.55600892, 3.51273805, 3.42226195, 3.37214187,\n",
       "        3.34057507, 3.24629719],\n",
       "...\n",
       "       [3.7207256 , 4.15827224, 4.54913605, 5.25671138, 5.65555133,\n",
       "        6.33383359, 6.81903928, 7.34255723, 7.85657993, 8.16904106,\n",
       "        8.47560556, 8.82278075, 8.78985077, 9.00125457, 8.67861537,\n",
       "        8.5204108 , 8.06895203],\n",
       "       [       nan, 4.36476782, 4.79977963, 5.45292853, 5.96154183,\n",
       "        6.57127745, 7.15490873, 7.75296827, 8.32193268, 8.63576018,\n",
       "        8.93436905, 9.16565809, 9.1784132 , 9.33002233, 9.15033182,\n",
       "        8.76464969,        nan],\n",
       "       [       nan,        nan, 5.04516021, 5.58421587, 6.27755389,\n",
       "        6.77378347, 7.37490717, 7.9909091 , 8.45272805, 8.81344748,\n",
       "        9.22070147, 9.42816879, 9.54134886, 9.63410612, 9.40960392,\n",
       "               nan,        nan],\n",
       "       [       nan,        nan,        nan, 5.72664087, 6.29522846,\n",
       "        6.91067916, 7.63825047, 8.16732894, 8.41382812, 9.13253076,\n",
       "        9.45033003, 9.63034316, 9.61014739, 9.64683687,        nan,\n",
       "               nan,        nan],\n",
       "       [       nan,        nan,        nan,        nan, 6.45327924,\n",
       "        7.0029892 , 7.61321154, 8.22763951, 8.62043017, 8.90336265,\n",
       "        9.20553325, 9.56026197, 9.83628259,        nan,        nan,\n",
       "               nan,        nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nd Composition</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5ff8fa2e-469c-4fd7-bfb6-4aef01b99be0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ff8fa2e-469c-4fd7-bfb6-4aef01b99be0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-231edd40-70c3-40a0-abf9-01f7f9c3072b' class='xr-var-data-in' type='checkbox'><label for='data-231edd40-70c3-40a0-abf9-01f7f9c3072b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>at.%</dd></dl></div><div class='xr-var-data'><pre>array([[        nan,         nan,         nan,         nan,  6.10595435,\n",
       "         6.60874697,  7.03339467,  7.62796727,  8.0706338 ,  8.86386647,\n",
       "         9.26494257,  9.78750675, 10.11945897,         nan,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,  5.44762275,  5.98309905,\n",
       "         6.37693596,  6.80955607,  7.43508222,  7.99550819,  8.47345025,\n",
       "         8.95012579,  9.48536995,  9.833983  , 10.03738742,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,  4.90627611,  5.3672414 ,  5.67646532,\n",
       "         6.07113177,  6.5999258 ,  7.14321296,  7.64976789,  8.07492025,\n",
       "         8.62387379,  9.18463646,  9.45749515,  9.85280355, 10.03838025,\n",
       "                nan,         nan],\n",
       "       [        nan,  4.39336689,  4.73937154,  5.05825951,  5.4711593 ,\n",
       "         5.92605179,  6.33808298,  6.7204853 ,  7.18646376,  7.764442  ,\n",
       "         8.14065962,  8.68410627,  8.97540935,  9.34139827,  9.48495379,\n",
       "         9.57525246,         nan],\n",
       "       [ 3.87811298,  4.19895599,  4.37719459,  4.88315295,  5.22007304,\n",
       "         5.4870853 ,  5.97979697,  6.37015609,  6.83316146,  7.26974936,\n",
       "         7.73895399,  8.08154738,  8.44323728,  8.76970769,  8.93620532,\n",
       "         9.11175251,  9.12822501],\n",
       "...\n",
       "       [ 2.99549251,  3.17249769,  3.21084102,  3.36517179,  3.45312076,\n",
       "         3.59266896,  3.72211702,  4.08094677,  4.10126643,  4.43752382,\n",
       "         4.46963986,  4.69081537,  4.91974079,  4.9967465 ,  5.17848904,\n",
       "         5.29701305,  5.45437289],\n",
       "       [        nan,  2.96511988,  3.17399389,  3.30217321,  3.27978481,\n",
       "         3.56605378,  3.60457452,  3.74696016,  3.95899442,  4.01519332,\n",
       "         4.25807804,  4.45505273,  4.5852549 ,  4.78654332,  4.91189229,\n",
       "         5.09581772,         nan],\n",
       "       [        nan,         nan,  3.06180605,  3.15054236,  3.28648525,\n",
       "         3.36680511,  3.50378051,  3.6079829 ,  3.79699293,  3.87741934,\n",
       "         4.03594074,  4.1338383 ,  4.37260248,  4.38476086,  4.5476032 ,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,  3.13072866,  3.2782955 ,\n",
       "         3.26461179,  3.39832159,  3.48022597,  3.63061314,  3.75586833,\n",
       "         3.93630386,  3.96919275,  4.03216415,  4.2148953 ,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan,         nan,  3.13927576,\n",
       "         3.36520546,  3.28999975,  3.48487208,  3.53930766,  3.65459738,\n",
       "         3.74871665,  3.76237308,  4.03652468,         nan,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Coercivity</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a77263cb-4506-4acf-96c7-7efdb7b2c909' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a77263cb-4506-4acf-96c7-7efdb7b2c909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae68611-0b2a-470d-a059-f65ff59c324c' class='xr-var-data-in' type='checkbox'><label for='data-5ae68611-0b2a-470d-a059-f65ff59c324c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([[ nan,  nan,  nan,  nan, 1.42, 1.44, 1.43, 1.38, 1.3 , 1.22, 1.05,\n",
       "        0.81, 0.71,  nan,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 1.33, 1.47, 1.49, 1.48, 1.56, 1.46, 1.34, 1.26,\n",
       "        1.17, 1.17, 1.06,  nan,  nan,  nan],\n",
       "       [ nan,  nan, 1.  , 1.28, 1.43, 1.72, 1.71, 1.65, 1.65, 1.62, 1.4 ,\n",
       "        1.21, 1.13, 1.18, 1.21,  nan,  nan],\n",
       "       [ nan, 0.36, 1.04, 1.23, 1.61, 1.58, 1.13, 1.34, 1.49, 1.54, 1.36,\n",
       "        1.14, 1.11, 1.16, 0.92, 1.18,  nan],\n",
       "       [0.34, 0.66, 0.97, 1.17, 1.43, 1.3 , 1.22, 1.36, 1.38, 1.42, 1.3 ,\n",
       "        1.03, 1.11, 1.05, 1.13, 1.04, 0.9 ],\n",
       "       [0.27, 0.76, 1.  , 1.15, 1.31, 1.29, 1.29, 1.22, 1.22, 1.15, 1.2 ,\n",
       "        1.  , 1.02, 1.13, 1.05, 0.88, 0.81],\n",
       "       [0.34, 0.74, 0.87, 0.95, 0.93, 0.97, 0.99, 1.01, 1.06, 0.99, 1.05,\n",
       "        0.91, 0.94, 0.97, 1.01, 1.01, 1.04],\n",
       "       [0.57, 0.81, 0.89, 0.93, 0.91, 0.93, 0.9 , 0.91, 0.88, 0.85, 0.9 ,\n",
       "        0.85, 0.86, 0.92, 1.  , 0.99, 0.95],\n",
       "       [0.67, 0.81, 0.82, 0.93, 0.9 , 0.92, 0.86, 0.8 , 0.82, 0.79, 0.81,\n",
       "        0.75, 0.78, 0.84, 0.83, 0.86, 0.77],\n",
       "       [0.74, 0.79, 0.86, 0.93, 0.91, 0.85, 0.85, 0.8 , 0.79, 0.77, 0.77,\n",
       "        0.72, 0.82, 0.76, 0.76, 0.79, 0.62],\n",
       "       [0.71, 0.81, 0.85, 0.86, 0.86, 0.89, 0.86, 0.83, 0.76, 0.74, 0.7 ,\n",
       "        0.73, 0.73, 0.68, 0.71, 0.7 , 0.5 ],\n",
       "       [0.73, 0.79, 0.88, 0.91, 0.9 , 0.86, 0.86, 0.82, 0.78, 0.72, 0.7 ,\n",
       "        0.71, 0.69, 0.72, 0.72, 0.64, 0.35],\n",
       "       [0.8 , 0.84, 0.85, 0.89, 0.85, 0.86, 0.88, 0.81, 0.75, 0.74, 0.69,\n",
       "        0.69, 0.68, 0.71, 0.68, 0.51, 0.32],\n",
       "       [ nan, 0.84, 0.85, 0.93, 0.86, 0.84, 0.81, 0.79, 0.75, 0.77, 0.69,\n",
       "        0.73, 0.72, 0.68, 0.63, 0.37,  nan],\n",
       "       [ nan,  nan, 0.84, 0.86, 0.83, 0.83, 0.79, 0.76, 0.78, 0.74, 0.73,\n",
       "        0.69, 0.7 , 0.67, 0.53,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 0.77, 0.74, 0.77, 0.76, 0.75, 0.73, 0.75, 0.73,\n",
       "        0.7 , 0.69, 0.6 ,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan,  nan, 0.73, 0.77, 0.77, 0.74, 0.75, 0.68, 0.66,\n",
       "        0.62, 0.62,  nan,  nan,  nan,  nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CubicRE Lattice Parameter A</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2fcd13be-d619-46d0-af6e-b4daed47329e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fcd13be-d619-46d0-af6e-b4daed47329e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-525017ec-b8f5-484a-af50-47c6ac14d2ae' class='xr-var-data-in' type='checkbox'><label for='data-525017ec-b8f5-484a-af50-47c6ac14d2ae' 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([[     nan,      nan,      nan,      nan, 0.513578, 0.51343 ,\n",
       "        0.513634, 0.51399 , 0.51421 , 0.51459 , 0.51477 , 0.51481 ,\n",
       "        0.51475 ,      nan,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 0.513958, 0.513643, 0.513793,\n",
       "        0.514138, 0.514358, 0.514431, 0.514507, 0.514675, 0.514946,\n",
       "        0.515132, 0.515071,      nan,      nan,      nan],\n",
       "       [     nan,      nan, 0.514541, 0.5145  , 0.514252, 0.514623,\n",
       "        0.521281, 0.521281, 0.521281, 0.51546 , 0.515147, 0.515251,\n",
       "        0.515396, 0.515296, 0.515093,      nan,      nan],\n",
       "       [     nan, 0.515015, 0.515175, 0.514993, 0.515328, 0.521281,\n",
       "        0.51757 , 0.521281, 0.521281, 0.521281, 0.515548, 0.51575 ,\n",
       "        0.51581 , 0.515633, 0.515411, 0.51511 ,      nan],\n",
       "       [0.51566 , 0.515837, 0.515849, 0.515646, 0.521281, 0.51784 ,\n",
       "        0.521281, 0.521281, 0.521281, 0.516518, 0.516152, 0.516367,\n",
       "        0.5162  , 0.51592 , 0.515643, 0.51533 , 0.51526 ],\n",
       "       [0.516284, 0.516578, 0.516468, 0.516179, 0.516751, 0.517061,\n",
       "        0.516857, 0.51681 , 0.516624, 0.516659, 0.516731, 0.516912,\n",
       "        0.51661 , 0.516283, 0.516017, 0.51572 , 0.51544 ],\n",
       "       [0.517003, 0.517118, 0.517042, 0.516967, 0.51689 , 0.51702 ,\n",
       "        0.516911, 0.516989, 0.517072, 0.517098, 0.517177, 0.517479,\n",
       "...\n",
       "        0.519413, 0.519429, 0.519273, 0.519224, 0.51888 , 0.518746,\n",
       "        0.518361, 0.51838 , 0.51789 , 0.51802 , 0.521281],\n",
       "       [0.51994 , 0.520118, 0.520067, 0.520021, 0.519981, 0.519984,\n",
       "        0.51998 , 0.51982 , 0.519832, 0.519638, 0.519417, 0.519081,\n",
       "        0.518754, 0.51864 , 0.51798 , 0.51858 , 0.521281],\n",
       "       [0.52067 , 0.52088 , 0.520668, 0.520644, 0.520569, 0.520494,\n",
       "        0.520422, 0.520466, 0.520261, 0.520039, 0.519855, 0.52017 ,\n",
       "        0.51962 , 0.51918 , 0.51869 , 0.521281, 0.521281],\n",
       "       [     nan, 0.52121 , 0.521281, 0.521281, 0.521281, 0.521281,\n",
       "        0.521281, 0.52121 , 0.521281, 0.5211  , 0.52064 , 0.52031 ,\n",
       "        0.51994 , 0.521281, 0.51888 , 0.521281,      nan],\n",
       "       [     nan,      nan, 0.521281, 0.521281, 0.521281, 0.521281,\n",
       "        0.521281, 0.521281, 0.521281, 0.521281, 0.521281, 0.52062 ,\n",
       "        0.52043 , 0.521281, 0.521281,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 0.521281, 0.521281, 0.521281,\n",
       "        0.521281, 0.521281, 0.521281, 0.521281, 0.521281, 0.52128 ,\n",
       "        0.521281, 0.521281,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan,      nan, 0.521281, 0.521281,\n",
       "        0.521281, 0.521281, 0.521281, 0.521281, 0.521281, 0.521281,\n",
       "        0.521281,      nan,      nan,      nan,      nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nd2Fe14B Lattice Parameter A</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-125027d9-760f-45dd-8eaf-8d41b3cb0170' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-125027d9-760f-45dd-8eaf-8d41b3cb0170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24052828-a251-4be4-8d89-ceb30e1b679d' class='xr-var-data-in' type='checkbox'><label for='data-24052828-a251-4be4-8d89-ceb30e1b679d' 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([[     nan,      nan,      nan,      nan, 0.87943 , 0.87914 ,\n",
       "        0.87915 , 0.87927 , 0.87915 , 0.8792  , 0.87905 , 0.87866 ,\n",
       "        0.87815 ,      nan,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 0.87971 , 0.87921 , 0.879291,\n",
       "        0.879338, 0.879232, 0.87897 , 0.878747, 0.878442, 0.878308,\n",
       "        0.87819 , 0.87806 ,      nan,      nan,      nan],\n",
       "       [     nan,      nan, 0.879497, 0.87981 , 0.87947 , 0.879489,\n",
       "        0.878704, 0.878571, 0.878256, 0.878609, 0.878633, 0.878226,\n",
       "        0.877971, 0.87795 , 0.87802 ,      nan,      nan],\n",
       "       [     nan, 0.879223, 0.87967 , 0.879566, 0.879526, 0.879013,\n",
       "        0.878281, 0.878475, 0.878408, 0.878272, 0.878527, 0.878178,\n",
       "        0.877944, 0.87794 , 0.878   , 0.87802 ,      nan],\n",
       "       [0.879106, 0.879335, 0.879585, 0.879454, 0.879335, 0.878897,\n",
       "        0.87869 , 0.878553, 0.878586, 0.878638, 0.878487, 0.878147,\n",
       "        0.877829, 0.8778  , 0.87783 , 0.87789 , 0.87763 ],\n",
       "       [0.879143, 0.879535, 0.879685, 0.879614, 0.879451, 0.879408,\n",
       "        0.879315, 0.879024, 0.878937, 0.87876 , 0.878406, 0.878056,\n",
       "        0.87792 , 0.877882, 0.87779 , 0.8778  , 0.87767 ],\n",
       "       [0.879329, 0.879603, 0.879813, 0.879764, 0.879555, 0.879448,\n",
       "        0.879127, 0.87904 , 0.878958, 0.878689, 0.878432, 0.878147,\n",
       "...\n",
       "        0.879474, 0.87934 , 0.87911 , 0.87895 , 0.878638, 0.878564,\n",
       "        0.878118, 0.877918, 0.87761 , 0.87728 , 0.871695],\n",
       "       [0.880206, 0.880133, 0.880016, 0.879919, 0.879705, 0.87958 ,\n",
       "        0.879568, 0.87929 , 0.8793  , 0.879092, 0.878884, 0.87856 ,\n",
       "        0.878325, 0.878047, 0.8776  , 0.87728 , 0.871695],\n",
       "       [0.880336, 0.880165, 0.880142, 0.880079, 0.879868, 0.879719,\n",
       "        0.879581, 0.879646, 0.879406, 0.879148, 0.879016, 0.878808,\n",
       "        0.878491, 0.878214, 0.87773 , 0.872003, 0.871695],\n",
       "       [     nan, 0.880185, 0.880022, 0.880059, 0.879853, 0.87982 ,\n",
       "        0.879635, 0.879638, 0.8794  , 0.879404, 0.879052, 0.878955,\n",
       "        0.87857 , 0.877932, 0.87768 , 0.872103,      nan],\n",
       "       [     nan,      nan, 0.880069, 0.879957, 0.879675, 0.879552,\n",
       "        0.879504, 0.879469, 0.879346, 0.879421, 0.879183, 0.878921,\n",
       "        0.878693, 0.877845, 0.876376,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 0.879826, 0.87971 , 0.87942 ,\n",
       "        0.879489, 0.879354, 0.879351, 0.879238, 0.879133, 0.879034,\n",
       "        0.878593, 0.877233,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan,      nan, 0.879631, 0.879475,\n",
       "        0.879381, 0.879309, 0.879195, 0.879053, 0.879042, 0.878736,\n",
       "        0.878137,      nan,      nan,      nan,      nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Nd2Fe14B Lattice Parameter C</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bd2bd488-6662-4c99-ad31-8f98df5a83ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd2bd488-6662-4c99-ad31-8f98df5a83ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-294d6a70-4829-40c7-a1e2-b15165e2128f' class='xr-var-data-in' type='checkbox'><label for='data-294d6a70-4829-40c7-a1e2-b15165e2128f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>array([[     nan,      nan,      nan,      nan, 1.22059 , 1.22001 ,\n",
       "        1.21988 , 1.21991 , 1.2196  , 1.2194  , 1.2191  , 1.21834 ,\n",
       "        1.21759 ,      nan,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 1.22107 , 1.22024 , 1.220512,\n",
       "        1.220733, 1.220378, 1.219815, 1.219381, 1.218731, 1.21825 ,\n",
       "        1.21795 , 1.21761 ,      nan,      nan,      nan],\n",
       "       [     nan,      nan, 1.22114 , 1.22114 , 1.221036, 1.220971,\n",
       "        1.219738, 1.219438, 1.218845, 1.219256, 1.219215, 1.218396,\n",
       "        1.21779 , 1.21752 , 1.21741 ,      nan,      nan],\n",
       "       [     nan, 1.221192, 1.22137 , 1.22124 , 1.22125 , 1.220459,\n",
       "        1.219135, 1.219182, 1.219089, 1.218911, 1.219127, 1.218415,\n",
       "        1.21794 , 1.2176  , 1.21752 , 1.21713 ,      nan],\n",
       "       [1.221348, 1.221594, 1.22155 , 1.221531, 1.221233, 1.220241,\n",
       "        1.21973 , 1.219491, 1.219557, 1.219462, 1.219094, 1.218475,\n",
       "        1.21784 , 1.21754 , 1.21731 , 1.21714 , 1.21645 ],\n",
       "       [1.221688, 1.222074, 1.22193 , 1.221868, 1.221565, 1.221387,\n",
       "        1.22104 , 1.220538, 1.22023 , 1.219824, 1.219205, 1.218534,\n",
       "        1.21806 , 1.21776 , 1.21741 , 1.2173  , 1.21669 ],\n",
       "       [1.222159, 1.222416, 1.222468, 1.222303, 1.222033, 1.221848,\n",
       "        1.221271, 1.220931, 1.220619, 1.219892, 1.219305, 1.21891 ,\n",
       "...\n",
       "        1.22291 , 1.22256 , 1.22202 , 1.22151 , 1.22071 , 1.22041 ,\n",
       "        1.21952 , 1.21903 , 1.21824 , 1.21744 , 1.208721],\n",
       "       [1.22478 , 1.22469 , 1.22442 , 1.22427 , 1.22393 , 1.22375 ,\n",
       "        1.22344 , 1.22283 , 1.22255 , 1.22207 , 1.22133 , 1.22063 ,\n",
       "        1.21999 , 1.21934 , 1.21845 , 1.2177  , 1.208705],\n",
       "       [1.22526 , 1.22503 , 1.22478 , 1.2248  , 1.22444 , 1.22417 ,\n",
       "        1.22371 , 1.22345 , 1.22298 , 1.22231 , 1.22183 , 1.22132 ,\n",
       "        1.22053 , 1.21981 , 1.21875 , 1.20985 , 1.208825],\n",
       "       [     nan, 1.22519 , 1.22487 , 1.22495 , 1.22469 , 1.22459 ,\n",
       "        1.2241  , 1.2239  , 1.22332 , 1.22297 , 1.22217 , 1.22164 ,\n",
       "        1.22086 , 1.21962 , 1.21892 , 1.21003 ,      nan],\n",
       "       [     nan,      nan, 1.225   , 1.22489 , 1.22444 , 1.22425 ,\n",
       "        1.22395 , 1.22374 , 1.22334 , 1.22328 , 1.22267 , 1.2218  ,\n",
       "        1.22118 , 1.21965 , 1.21709 ,      nan,      nan],\n",
       "       [     nan,      nan,      nan, 1.22482 , 1.22458 , 1.22413 ,\n",
       "        1.22396 , 1.22372 , 1.2235  , 1.22309 , 1.22263 , 1.22216 ,\n",
       "        1.22126 , 1.21889 ,      nan,      nan,      nan],\n",
       "       [     nan,      nan,      nan,      nan, 1.22461 , 1.22426 ,\n",
       "        1.22402 , 1.22376 , 1.22339 , 1.22297 , 1.22269 , 1.2218  ,\n",
       "        1.2206  ,      nan,      nan,      nan,      nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d4f2b44-0744-43b7-9a05-eed9b27ebcec' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d4f2b44-0744-43b7-9a05-eed9b27ebcec' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bb06d1c2-e511-4a37-b321-be685820fa6a' class='xr-index-data-in' type='checkbox'/><label for='index-bb06d1c2-e511-4a37-b321-be685820fa6a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-40, -35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35,\n",
       "       40],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-550c41f2-7c1c-4e1a-8dd4-aaba03a6f136' class='xr-index-data-in' type='checkbox'/><label for='index-550c41f2-7c1c-4e1a-8dd4-aaba03a6f136' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-40, -35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35,\n",
       "       40],\n",
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      ],
      "text/plain": [
       "<xarray.Dataset> Size: 19kB\n",
       "Dimensions:                       (y: 17, x: 17)\n",
       "Coordinates:\n",
       "  * y                             (y) int64 136B -40 -35 -30 -25 ... 25 30 35 40\n",
       "  * x                             (x) int64 136B -40 -35 -30 -25 ... 25 30 35 40\n",
       "Data variables:\n",
       "    Ce Composition                (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Fe Composition                (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    La Composition                (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Nd Composition                (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Coercivity                    (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    CubicRE Lattice Parameter A   (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Nd2Fe14B Lattice Parameter A  (y, x) float64 2kB nan nan nan ... nan nan nan\n",
       "    Nd2Fe14B Lattice Parameter C  (y, x) float64 2kB nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = read_hdf5.get_full_dataset(HDF5_path)\n",
    "data # To display the xarray in the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb2a3566",
   "metadata": {},
   "source": [
    "If you are only interested in one data variable, for example `Coercivity`, you can simply select this data with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7182464f",
   "metadata": {},
   "outputs": [
    {
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       "Coordinates:\n",
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       "  * x        (x) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "Attributes:\n",
       "    units:    T</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Coercivity'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 17</li><li><span class='xr-has-index'>x</span>: 17</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-79dfc3f4-903e-4950-9ab3-de0df841fe66' class='xr-array-in' type='checkbox' checked><label for='section-79dfc3f4-903e-4950-9ab3-de0df841fe66' 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>nan nan nan nan 1.42 1.44 1.43 1.38 ... 0.66 0.62 0.62 nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[ nan,  nan,  nan,  nan, 1.42, 1.44, 1.43, 1.38, 1.3 , 1.22, 1.05,\n",
       "        0.81, 0.71,  nan,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 1.33, 1.47, 1.49, 1.48, 1.56, 1.46, 1.34, 1.26,\n",
       "        1.17, 1.17, 1.06,  nan,  nan,  nan],\n",
       "       [ nan,  nan, 1.  , 1.28, 1.43, 1.72, 1.71, 1.65, 1.65, 1.62, 1.4 ,\n",
       "        1.21, 1.13, 1.18, 1.21,  nan,  nan],\n",
       "       [ nan, 0.36, 1.04, 1.23, 1.61, 1.58, 1.13, 1.34, 1.49, 1.54, 1.36,\n",
       "        1.14, 1.11, 1.16, 0.92, 1.18,  nan],\n",
       "       [0.34, 0.66, 0.97, 1.17, 1.43, 1.3 , 1.22, 1.36, 1.38, 1.42, 1.3 ,\n",
       "        1.03, 1.11, 1.05, 1.13, 1.04, 0.9 ],\n",
       "       [0.27, 0.76, 1.  , 1.15, 1.31, 1.29, 1.29, 1.22, 1.22, 1.15, 1.2 ,\n",
       "        1.  , 1.02, 1.13, 1.05, 0.88, 0.81],\n",
       "       [0.34, 0.74, 0.87, 0.95, 0.93, 0.97, 0.99, 1.01, 1.06, 0.99, 1.05,\n",
       "        0.91, 0.94, 0.97, 1.01, 1.01, 1.04],\n",
       "       [0.57, 0.81, 0.89, 0.93, 0.91, 0.93, 0.9 , 0.91, 0.88, 0.85, 0.9 ,\n",
       "        0.85, 0.86, 0.92, 1.  , 0.99, 0.95],\n",
       "       [0.67, 0.81, 0.82, 0.93, 0.9 , 0.92, 0.86, 0.8 , 0.82, 0.79, 0.81,\n",
       "        0.75, 0.78, 0.84, 0.83, 0.86, 0.77],\n",
       "       [0.74, 0.79, 0.86, 0.93, 0.91, 0.85, 0.85, 0.8 , 0.79, 0.77, 0.77,\n",
       "        0.72, 0.82, 0.76, 0.76, 0.79, 0.62],\n",
       "       [0.71, 0.81, 0.85, 0.86, 0.86, 0.89, 0.86, 0.83, 0.76, 0.74, 0.7 ,\n",
       "        0.73, 0.73, 0.68, 0.71, 0.7 , 0.5 ],\n",
       "       [0.73, 0.79, 0.88, 0.91, 0.9 , 0.86, 0.86, 0.82, 0.78, 0.72, 0.7 ,\n",
       "        0.71, 0.69, 0.72, 0.72, 0.64, 0.35],\n",
       "       [0.8 , 0.84, 0.85, 0.89, 0.85, 0.86, 0.88, 0.81, 0.75, 0.74, 0.69,\n",
       "        0.69, 0.68, 0.71, 0.68, 0.51, 0.32],\n",
       "       [ nan, 0.84, 0.85, 0.93, 0.86, 0.84, 0.81, 0.79, 0.75, 0.77, 0.69,\n",
       "        0.73, 0.72, 0.68, 0.63, 0.37,  nan],\n",
       "       [ nan,  nan, 0.84, 0.86, 0.83, 0.83, 0.79, 0.76, 0.78, 0.74, 0.73,\n",
       "        0.69, 0.7 , 0.67, 0.53,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 0.77, 0.74, 0.77, 0.76, 0.75, 0.73, 0.75, 0.73,\n",
       "        0.7 , 0.69, 0.6 ,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan,  nan, 0.73, 0.77, 0.77, 0.74, 0.75, 0.68, 0.66,\n",
       "        0.62, 0.62,  nan,  nan,  nan,  nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-5ce75d82-bc18-4650-9927-fa4bce7b9f15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ce75d82-bc18-4650-9927-fa4bce7b9f15' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-e875760a-7305-4b4a-9250-cccf3e1a8531' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e875760a-7305-4b4a-9250-cccf3e1a8531' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99dab401-5e53-465b-bd5b-6e5983a45a50' class='xr-var-data-in' type='checkbox'><label for='data-99dab401-5e53-465b-bd5b-6e5983a45a50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</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'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-4dcfb8d9-92a1-4f4b-b9c5-916455a5d22c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dcfb8d9-92a1-4f4b-b9c5-916455a5d22c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-444a85e1-d2ab-49ab-9f41-bf85f54c1c0a' class='xr-var-data-in' type='checkbox'><label for='data-444a85e1-d2ab-49ab-9f41-bf85f54c1c0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-878f0471-74b8-4d2a-995b-21ed30ff9e96' class='xr-section-summary-in' type='checkbox'  ><label for='section-878f0471-74b8-4d2a-995b-21ed30ff9e96' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-65a65e4a-775c-42be-b217-56bb8c6e7234' class='xr-index-data-in' type='checkbox'/><label for='index-65a65e4a-775c-42be-b217-56bb8c6e7234' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-40, -35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35,\n",
       "       40],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3e4d3031-10ad-4c76-8300-e8366ad5929d' class='xr-index-data-in' type='checkbox'/><label for='index-3e4d3031-10ad-4c76-8300-e8366ad5929d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-40, -35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35,\n",
       "       40],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95d26de4-fa04-4e70-b337-25d66bae1d9b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95d26de4-fa04-4e70-b337-25d66bae1d9b' 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>units :</span></dt><dd>T</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'Coercivity' (y: 17, x: 17)> Size: 2kB\n",
       "array([[ nan,  nan,  nan,  nan, 1.42, 1.44, 1.43, 1.38, 1.3 , 1.22, 1.05,\n",
       "        0.81, 0.71,  nan,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 1.33, 1.47, 1.49, 1.48, 1.56, 1.46, 1.34, 1.26,\n",
       "        1.17, 1.17, 1.06,  nan,  nan,  nan],\n",
       "       [ nan,  nan, 1.  , 1.28, 1.43, 1.72, 1.71, 1.65, 1.65, 1.62, 1.4 ,\n",
       "        1.21, 1.13, 1.18, 1.21,  nan,  nan],\n",
       "       [ nan, 0.36, 1.04, 1.23, 1.61, 1.58, 1.13, 1.34, 1.49, 1.54, 1.36,\n",
       "        1.14, 1.11, 1.16, 0.92, 1.18,  nan],\n",
       "       [0.34, 0.66, 0.97, 1.17, 1.43, 1.3 , 1.22, 1.36, 1.38, 1.42, 1.3 ,\n",
       "        1.03, 1.11, 1.05, 1.13, 1.04, 0.9 ],\n",
       "       [0.27, 0.76, 1.  , 1.15, 1.31, 1.29, 1.29, 1.22, 1.22, 1.15, 1.2 ,\n",
       "        1.  , 1.02, 1.13, 1.05, 0.88, 0.81],\n",
       "       [0.34, 0.74, 0.87, 0.95, 0.93, 0.97, 0.99, 1.01, 1.06, 0.99, 1.05,\n",
       "        0.91, 0.94, 0.97, 1.01, 1.01, 1.04],\n",
       "       [0.57, 0.81, 0.89, 0.93, 0.91, 0.93, 0.9 , 0.91, 0.88, 0.85, 0.9 ,\n",
       "        0.85, 0.86, 0.92, 1.  , 0.99, 0.95],\n",
       "       [0.67, 0.81, 0.82, 0.93, 0.9 , 0.92, 0.86, 0.8 , 0.82, 0.79, 0.81,\n",
       "        0.75, 0.78, 0.84, 0.83, 0.86, 0.77],\n",
       "       [0.74, 0.79, 0.86, 0.93, 0.91, 0.85, 0.85, 0.8 , 0.79, 0.77, 0.77,\n",
       "        0.72, 0.82, 0.76, 0.76, 0.79, 0.62],\n",
       "       [0.71, 0.81, 0.85, 0.86, 0.86, 0.89, 0.86, 0.83, 0.76, 0.74, 0.7 ,\n",
       "        0.73, 0.73, 0.68, 0.71, 0.7 , 0.5 ],\n",
       "       [0.73, 0.79, 0.88, 0.91, 0.9 , 0.86, 0.86, 0.82, 0.78, 0.72, 0.7 ,\n",
       "        0.71, 0.69, 0.72, 0.72, 0.64, 0.35],\n",
       "       [0.8 , 0.84, 0.85, 0.89, 0.85, 0.86, 0.88, 0.81, 0.75, 0.74, 0.69,\n",
       "        0.69, 0.68, 0.71, 0.68, 0.51, 0.32],\n",
       "       [ nan, 0.84, 0.85, 0.93, 0.86, 0.84, 0.81, 0.79, 0.75, 0.77, 0.69,\n",
       "        0.73, 0.72, 0.68, 0.63, 0.37,  nan],\n",
       "       [ nan,  nan, 0.84, 0.86, 0.83, 0.83, 0.79, 0.76, 0.78, 0.74, 0.73,\n",
       "        0.69, 0.7 , 0.67, 0.53,  nan,  nan],\n",
       "       [ nan,  nan,  nan, 0.77, 0.74, 0.77, 0.76, 0.75, 0.73, 0.75, 0.73,\n",
       "        0.7 , 0.69, 0.6 ,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan,  nan, 0.73, 0.77, 0.77, 0.74, 0.75, 0.68, 0.66,\n",
       "        0.62, 0.62,  nan,  nan,  nan,  nan]])\n",
       "Coordinates:\n",
       "  * y        (y) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "  * x        (x) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "Attributes:\n",
       "    units:    T"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coercivity = data[\"Coercivity\"] # Data variables can be selected using the \n",
    "                                # dictionary syntax in python\n",
    "coercivity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b42e44",
   "metadata": {},
   "source": [
    "- It can also be convenient to plot the data in a 2D heatmap using `plot()` on the xarray.\n",
    "- If you want to choose a particular colormap you can instead use `plot.pcolormesh(cmap='your_cmap')`. In this example, I choosed the `rainbow` color map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cebfa66b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coercivity_plot = coercivity.plot.pcolormesh(cmap='rainbow')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56be6bf0",
   "metadata": {},
   "source": [
    "You can also select subsets with the `sel()` function by specifiying in argument which values of x and y you need. For more advanced xarray operations you can directly check https://docs.xarray.dev/en/stable/getting-started-guide/quick-overview.html\n",
    "\n",
    "The following examples include a line selection for Nd composition and a single position for the lattice parameter C of the main NdFeB magnetic phase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3cf80789",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Line x=0 selected for Nd composition\n",
    "composition_Nd = data[\"Nd Composition\"] # Nd composition data variable\n",
    "line_scan_Nd = composition_Nd.sel(x=0) # Selecting the line x=0\n",
    "line_scan_Nd_plot = line_scan_Nd.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "04a98e53",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "body[data-theme=\"dark\"],\n",
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       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
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       ".xr-header {\n",
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
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       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Nd2Fe14B Lattice Parameter C&#x27; ()&gt; Size: 8B\n",
       "array(1.220971)\n",
       "Coordinates:\n",
       "    y        int64 8B -30\n",
       "    x        int64 8B -15\n",
       "Attributes:\n",
       "    units:    nm</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Nd2Fe14B Lattice Parameter C'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bd389a4e-b15a-43d3-bdbf-70c738107ae8' class='xr-array-in' type='checkbox' checked><label for='section-bd389a4e-b15a-43d3-bdbf-70c738107ae8' 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>1.221</span></div><div class='xr-array-data'><pre>array(1.220971)</pre></div></div></li><li class='xr-section-item'><input id='section-3847a878-e8a2-4186-9c78-0e35b3af5c36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3847a878-e8a2-4186-9c78-0e35b3af5c36' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-30</div><input id='attrs-fd36f487-c7c4-4dd0-86b5-51179589d228' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd36f487-c7c4-4dd0-86b5-51179589d228' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ee5f5d-9602-451f-b39b-db719c0bd29f' class='xr-var-data-in' type='checkbox'><label for='data-a3ee5f5d-9602-451f-b39b-db719c0bd29f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array(-30)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15</div><input id='attrs-b11c610d-dae4-4ae1-ae5d-0a3d5ec69ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b11c610d-dae4-4ae1-ae5d-0a3d5ec69ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80b52df9-8b40-42bb-a5be-1dc27d462138' class='xr-var-data-in' type='checkbox'><label for='data-80b52df9-8b40-42bb-a5be-1dc27d462138' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array(-15)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91b9c76c-03ea-41a0-a1aa-858f307fcf08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91b9c76c-03ea-41a0-a1aa-858f307fcf08' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-35bba4b7-7104-45f5-9838-5c7b17200b58' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35bba4b7-7104-45f5-9838-5c7b17200b58' 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>units :</span></dt><dd>nm</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'Nd2Fe14B Lattice Parameter C' ()> Size: 8B\n",
       "array(1.220971)\n",
       "Coordinates:\n",
       "    y        int64 8B -30\n",
       "    x        int64 8B -15\n",
       "Attributes:\n",
       "    units:    nm"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lattice parameter C for NdFeB at position (-15,-30)\n",
    "lattice_parameter_C_NdFeB = data[\"Nd2Fe14B Lattice Parameter C\"] #Lattice parameter C for NdFeB phase\n",
    "lattice_parameter_C_NdFeB.sel(x=-15, y=-30) # Selecting the position (-15,-30)"
   ]
  },
  {
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    "##### **3.2 Getting xarray datasets containing measurement data**"
   ]
  },
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   "cell_type": "markdown",
   "id": "7819ac79",
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   "source": [
    "If you need to work with the measurement readout instead, the function `get_measurement_data()` will return an xarray DataTree object containing all the scans of every experiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "980bc0ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T\n"
     ]
    }
   ],
   "source": [
    "all_scans = read_hdf5.get_measurement_data(HDF5_path, data_type=\"all\")"
   ]
  },
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   "execution_count": 9,
   "id": "28e2d71e",
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       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
       "Dimensions:  ()\n",
       "Data variables:\n",
       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9ee7f1b4-ca46-4f2d-93b7-9c7da51aeb22' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ee7f1b4-ca46-4f2d-93b7-9c7da51aeb22' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1f1f1f;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 5MB\n",
       "Dimensions:  (y: 17, x: 17, energy: 2048)\n",
       "Coordinates:\n",
       "  * y        (y) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "  * x        (x) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "  * energy   (energy) float64 16kB -0.9545 -0.9445 -0.9345 ... 19.49 19.5 19.51\n",
       "Data variables:\n",
       "    counts   (y, x, energy) float64 5MB nan nan nan nan nan ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>EDX</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-783a0434-3b6a-40e5-9dec-149e725e4d52' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-783a0434-3b6a-40e5-9dec-149e725e4d52' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-c5a14f62-bdae-4b71-b786-144ede723e5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5a14f62-bdae-4b71-b786-144ede723e5a' 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'>y</span>: 17</li><li><span class='xr-has-index'>x</span>: 17</li><li><span class='xr-has-index'>energy</span>: 2048</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-94c8ef19-018b-4cf7-8c89-17370d8aab58' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94c8ef19-018b-4cf7-8c89-17370d8aab58' 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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-74c51eed-1e47-413b-a9a8-8801c1b3401e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74c51eed-1e47-413b-a9a8-8801c1b3401e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3d5bbc-4f1d-4369-9291-0ec8516a3987' class='xr-var-data-in' type='checkbox'><label for='data-ce3d5bbc-4f1d-4369-9291-0ec8516a3987' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</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'>int64</div><div class='xr-var-preview xr-preview'>-40 -35 -30 -25 -20 ... 25 30 35 40</div><input id='attrs-5e0fbc12-04d7-4f0c-8fd2-a2076a928083' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e0fbc12-04d7-4f0c-8fd2-a2076a928083' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24741549-5af6-4668-b5ea-1bc8d0bb2200' class='xr-var-data-in' type='checkbox'><label for='data-24741549-5af6-4668-b5ea-1bc8d0bb2200' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40, -35, -30, -25, -20, -15, -10,  -5,   0,   5,  10,  15,  20,  25,\n",
       "        30,  35,  40])</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'>-0.9545 -0.9445 ... 19.5 19.51</div><input id='attrs-fe292b8e-f9e0-4135-844a-fcbfe60e87b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe292b8e-f9e0-4135-844a-fcbfe60e87b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5123b41b-33e0-463a-bba0-04c718a6c1fb' class='xr-var-data-in' type='checkbox'><label for='data-5123b41b-33e0-463a-bba0-04c718a6c1fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>keV</dd></dl></div><div class='xr-var-data'><pre>array([-0.954505, -0.944506, -0.934507, ..., 19.49345 , 19.503449, 19.513448],\n",
       "      shape=(2048,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cba4548-3018-4d6d-93ed-f32334b7a0cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3cba4548-3018-4d6d-93ed-f32334b7a0cb' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>counts</span></div><div class='xr-var-dims'>(y, x, energy)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2e20384b-dfa3-41bc-8ae2-a57f527bb440' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e20384b-dfa3-41bc-8ae2-a57f527bb440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95440a14-8d01-4875-ba6c-6e806bf6e90a' class='xr-var-data-in' type='checkbox'><label for='data-95440a14-8d01-4875-ba6c-6e806bf6e90a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cps</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [ 0.,  0.,  0., ...,  4.,  2.,  2.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [ 0.,  0.,  0., ...,  3.,  8.,  1.],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(17, 17, 2048))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63caab42-0fd1-45a5-9276-28b95d347412' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63caab42-0fd1-45a5-9276-28b95d347412' 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></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1f1f1f;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\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",
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       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 12MB\n",
       "Dimensions:      (y: 19, x: 19, index_value: 2, n_indexes: 2003)\n",
       "Coordinates:\n",
       "  * y            (y) float64 152B -45.0 -40.0 -35.0 -30.0 ... 35.0 40.0 45.0\n",
       "  * x            (x) float64 152B -45.0 -40.0 -35.0 -30.0 ... 35.0 40.0 45.0\n",
       "  * index_value  (index_value) &lt;U13 104B &#x27;magnetization&#x27; &#x27;applied field&#x27;\n",
       "  * n_indexes    (n_indexes) int64 16kB 0 1 2 3 4 5 ... 1998 1999 2000 2001 2002\n",
       "Data variables:\n",
       "    Loops        (y, x, index_value, n_indexes) float64 12MB nan nan ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>MOKE</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e1f7ce09-e72b-4579-b710-2dd7753010f0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1f7ce09-e72b-4579-b710-2dd7753010f0' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-7435dfce-5482-4a6a-94f3-e4a5d670d7f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7435dfce-5482-4a6a-94f3-e4a5d670d7f7' 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'>y</span>: 19</li><li><span class='xr-has-index'>x</span>: 19</li><li><span class='xr-has-index'>index_value</span>: 2</li><li><span class='xr-has-index'>n_indexes</span>: 2003</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6525a333-d6ed-469f-8e44-519a0a534d77' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6525a333-d6ed-469f-8e44-519a0a534d77' 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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-45.0 -40.0 -35.0 ... 40.0 45.0</div><input id='attrs-0882f255-5b47-4b8c-b4c0-974ca4ca7190' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0882f255-5b47-4b8c-b4c0-974ca4ca7190' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e57ad57-7fc1-4061-b404-ab08b0eaf983' class='xr-var-data-in' type='checkbox'><label for='data-4e57ad57-7fc1-4061-b404-ab08b0eaf983' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-45., -40., -35., -30., -25., -20., -15., -10.,  -5.,   0.,   5.,  10.,\n",
       "        15.,  20.,  25.,  30.,  35.,  40.,  45.])</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'>-45.0 -40.0 -35.0 ... 40.0 45.0</div><input id='attrs-5508b4dd-39f2-4f6d-8129-c65354577f48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5508b4dd-39f2-4f6d-8129-c65354577f48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a07c0cb-cb50-4574-b5bb-9bae83faadc2' class='xr-var-data-in' type='checkbox'><label for='data-6a07c0cb-cb50-4574-b5bb-9bae83faadc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-45., -40., -35., -30., -25., -20., -15., -10.,  -5.,   0.,   5.,  10.,\n",
       "        15.,  20.,  25.,  30.,  35.,  40.,  45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index_value</span></div><div class='xr-var-dims'>(index_value)</div><div class='xr-var-dtype'>&lt;U13</div><div class='xr-var-preview xr-preview'>&#x27;magnetization&#x27; &#x27;applied field&#x27;</div><input id='attrs-f010af8b-d38c-4e4b-bde2-318ab73a4d54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f010af8b-d38c-4e4b-bde2-318ab73a4d54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0bf263c-a4eb-403a-b0d8-83fa90603c30' class='xr-var-data-in' type='checkbox'><label for='data-e0bf263c-a4eb-403a-b0d8-83fa90603c30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;magnetization&#x27;, &#x27;applied field&#x27;], dtype=&#x27;&lt;U13&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>n_indexes</span></div><div class='xr-var-dims'>(n_indexes)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1999 2000 2001 2002</div><input id='attrs-c4096c18-2f87-4862-9bd5-b9f88a3c86ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4096c18-2f87-4862-9bd5-b9f88a3c86ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b6901b-b1e6-4500-b4cd-dc895c76099f' class='xr-var-data-in' type='checkbox'><label for='data-c3b6901b-b1e6-4500-b4cd-dc895c76099f' 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,    1,    2, ..., 2000, 2001, 2002], shape=(2003,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9df71ba9-c4a8-43ac-8f97-e591f125668f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9df71ba9-c4a8-43ac-8f97-e591f125668f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Loops</span></div><div class='xr-var-dims'>(y, x, index_value, n_indexes)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-01703772-8240-454b-a482-fc563de9da55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01703772-8240-454b-a482-fc563de9da55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8395a1f1-1499-4a66-a621-778507f6adce' class='xr-var-data-in' type='checkbox'><label for='data-8395a1f1-1499-4a66-a621-778507f6adce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>{&#x27;applied field&#x27;: &#x27;T&#x27;, &#x27;magnetization&#x27;: &#x27;V&#x27;}</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]]]], shape=(19, 19, 2, 2003))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25514f0d-10c9-48d0-b766-e4ef1fb74452' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25514f0d-10c9-48d0-b766-e4ef1fb74452' 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></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1f1f1f;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 13MB\n",
       "Dimensions:  (y: 17, x: 17, angle: 5401)\n",
       "Coordinates:\n",
       "  * y        (y) float64 136B -40.0 -35.0 -30.0 -25.0 ... 25.0 30.0 35.0 40.0\n",
       "  * x        (x) float64 136B -40.0 -35.0 -30.0 -25.0 ... 25.0 30.0 35.0 40.0\n",
       "  * angle    (angle) float64 43kB 20.0 20.01 20.02 20.03 ... 73.98 73.99 74.0\n",
       "Data variables:\n",
       "    counts   (y, x, angle) float64 12MB nan nan nan nan nan ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>XRD</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f6336417-ce30-4b20-a4e5-53122268cd5f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6336417-ce30-4b20-a4e5-53122268cd5f' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-878f0513-bcaf-4fa4-9441-ba533304f528' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-878f0513-bcaf-4fa4-9441-ba533304f528' 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'>y</span>: 17</li><li><span class='xr-has-index'>x</span>: 17</li><li><span class='xr-has-index'>angle</span>: 5401</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f035fe3d-b239-4d9e-8fdf-3b444c3c3f7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f035fe3d-b239-4d9e-8fdf-3b444c3c3f7c' 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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-40.0 -35.0 -30.0 ... 35.0 40.0</div><input id='attrs-dce9fbd4-7ac7-4786-aba2-23fdf77f86f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dce9fbd4-7ac7-4786-aba2-23fdf77f86f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29e5aabe-c44d-436f-be8f-80e0d48b9e12' class='xr-var-data-in' type='checkbox'><label for='data-29e5aabe-c44d-436f-be8f-80e0d48b9e12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40., -35., -30., -25., -20., -15., -10.,  -5.,   0.,   5.,  10.,  15.,\n",
       "        20.,  25.,  30.,  35.,  40.])</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'>-40.0 -35.0 -30.0 ... 35.0 40.0</div><input id='attrs-47d62278-22c5-4be1-8ba3-5e995650a3eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47d62278-22c5-4be1-8ba3-5e995650a3eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8caa0eb4-49a2-4a28-a301-2c2bf45e4c3c' class='xr-var-data-in' type='checkbox'><label for='data-8caa0eb4-49a2-4a28-a301-2c2bf45e4c3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-40., -35., -30., -25., -20., -15., -10.,  -5.,   0.,   5.,  10.,  15.,\n",
       "        20.,  25.,  30.,  35.,  40.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>angle</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.01 20.02 ... 73.99 74.0</div><input id='attrs-198d694b-20b4-4648-a466-fd063d52ae3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-198d694b-20b4-4648-a466-fd063d52ae3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac3cb15-943e-41b5-b4b4-577ea3c1d73f' class='xr-var-data-in' type='checkbox'><label for='data-dac3cb15-943e-41b5-b4b4-577ea3c1d73f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([20.  , 20.01, 20.02, ..., 73.98, 73.99, 74.  ], shape=(5401,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46c77c7b-2b20-4139-a463-d8b40e91df12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46c77c7b-2b20-4139-a463-d8b40e91df12' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>counts</span></div><div class='xr-var-dims'>(y, x, angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-20df88d6-5053-4688-9c60-7193fd6ddd9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20df88d6-5053-4688-9c60-7193fd6ddd9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f41454c-c4ea-4009-bb87-76c8a2a52c67' class='xr-var-data-in' type='checkbox'><label for='data-9f41454c-c4ea-4009-bb87-76c8a2a52c67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "...\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan]],\n",
       "\n",
       "       [[       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        ...,\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan],\n",
       "        [       nan,        nan,        nan, ...,        nan,\n",
       "                nan,        nan]]], shape=(17, 17, 5401))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7c71767-da6d-40c3-9042-12b020067212' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c7c71767-da6d-40c3-9042-12b020067212' 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></div></div></div></div></li><li class='xr-section-item'><input id='section-59d329d0-cd4f-43b1-9223-f4e9b45ad5b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59d329d0-cd4f-43b1-9223-f4e9b45ad5b3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c6d40f89-176a-4a1a-8ccc-c65bed23c502' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6d40f89-176a-4a1a-8ccc-c65bed23c502' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fa7de475-3b17-44c7-a6f6-a2a5ab101cc6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa7de475-3b17-44c7-a6f6-a2a5ab101cc6' class='xr-section-summary'  title='Expand/collapse section'>Inherited coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a63deb5f-d6f8-4f7a-8fb2-d92bcfcbedc1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a63deb5f-d6f8-4f7a-8fb2-d92bcfcbedc1' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fb336b5d-7904-4e14-84d6-7746caa12d67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb336b5d-7904-4e14-84d6-7746caa12d67' 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.DataTree 'Measurement Data'>\n",
       "Group: /\n",
       "├── Group: /EDX\n",
       "│       Dimensions:  (y: 17, x: 17, energy: 2048)\n",
       "│       Coordinates:\n",
       "│         * y        (y) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "│         * x        (x) int64 136B -40 -35 -30 -25 -20 -15 -10 ... 10 15 20 25 30 35 40\n",
       "│         * energy   (energy) float64 16kB -0.9545 -0.9445 -0.9345 ... 19.49 19.5 19.51\n",
       "│       Data variables:\n",
       "│           counts   (y, x, energy) float64 5MB nan nan nan nan nan ... nan nan nan nan\n",
       "├── Group: /MOKE\n",
       "│       Dimensions:      (y: 19, x: 19, index_value: 2, n_indexes: 2003)\n",
       "│       Coordinates:\n",
       "│         * y            (y) float64 152B -45.0 -40.0 -35.0 -30.0 ... 35.0 40.0 45.0\n",
       "│         * x            (x) float64 152B -45.0 -40.0 -35.0 -30.0 ... 35.0 40.0 45.0\n",
       "│         * index_value  (index_value) <U13 104B 'magnetization' 'applied field'\n",
       "│         * n_indexes    (n_indexes) int64 16kB 0 1 2 3 4 5 ... 1998 1999 2000 2001 2002\n",
       "│       Data variables:\n",
       "│           Loops        (y, x, index_value, n_indexes) float64 12MB nan nan ... nan nan\n",
       "└── Group: /XRD\n",
       "        Dimensions:  (y: 17, x: 17, angle: 5401)\n",
       "        Coordinates:\n",
       "          * y        (y) float64 136B -40.0 -35.0 -30.0 -25.0 ... 25.0 30.0 35.0 40.0\n",
       "          * x        (x) float64 136B -40.0 -35.0 -30.0 -25.0 ... 25.0 30.0 35.0 40.0\n",
       "          * angle    (angle) float64 43kB 20.0 20.01 20.02 20.03 ... 73.98 73.99 74.0\n",
       "        Data variables:\n",
       "            counts   (y, x, angle) float64 12MB nan nan nan nan nan ... nan nan nan nan"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_scans # You can visualize its content in the notebook by calling the variable"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b86903d",
   "metadata": {},
   "source": [
    "- For EDX and XRD you can use the following commands to plot the scan at the position (-15, -30):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "34ff35d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#edx_scan = all_scans[\"EDX\"][\"counts\"].sel(x=-15, y=-30).plot()\n",
    "\n",
    "# You can do the same for XRD, but the twist here is that\n",
    "# you select all the y values for x=0, creating an xrd waterfall plot\n",
    "\n",
    "xrd_scan = all_scans[\"XRD\"][\"counts\"].sel(x=-20).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eed7056a",
   "metadata": {},
   "source": [
    "- For MOKE data you want to use the following instead (consistancy with other dataset types will be corrected in a futur version): "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "64a6a8b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x128426f00>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "# Getting the magnetization and the applied field from the Loops variable\n",
    "magnetization = all_scans[\"MOKE\"][\"Loops\"].sel(x=-15, y=-30, index_value=\"magnetization\")\n",
    "applied_field = all_scans[\"MOKE\"][\"Loops\"].sel(x=-15, y=-30, index_value=\"applied field\")\n",
    "\n",
    "# Setting the labels for the plot from xarray attributs\n",
    "plt.xlabel(f\"applied field ({applied_field.attrs[\"units\"][\"applied field\"]})\")\n",
    "plt.ylabel(f\"magnetization ({magnetization.attrs[\"units\"][\"magnetization\"]})\")\n",
    "\n",
    "plt.plot(applied_field, magnetization)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9e708bf",
   "metadata": {},
   "source": [
    "### **Appendix A. CHADA Tables and Diagrams for High Throughput Experiments at Néel Institut**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "482eb15d",
   "metadata": {},
   "source": [
    "#### **A.1 CHADA Diagrams**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19bee141",
   "metadata": {},
   "source": [
    "CHADA Diagrams are used in MaMMoS to describe the flowchart of an experiment with a simple skematic. Each step is described with a short explanation and a color:\n",
    "\n",
    "- RED: Indicates what type of sample was used to start the experiment.\n",
    "\n",
    "- BLUE: Shows what needs to be done during the experiment to obtain the measured data.\n",
    "\n",
    "- DARK GREEN: Raw data measured directly from the experiment.\n",
    "\n",
    "- LIGHT GREEN: Treated data, usually extracted for the raw data using a software or a python code.\n",
    "\n",
    "- DARK BLUE CONTOUR: Final treated data, is the content that you obtain from the `get_full_dataset()` command."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8ce7c98",
   "metadata": {},
   "source": [
    "##### **CHADA Diagram for EDX (click left to display):**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45742b20",
   "metadata": {},
   "source": [
    "![EDX Diagram](examples/EDX.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2311c753",
   "metadata": {},
   "source": [
    "##### **CHADA Diagram for MOKE:**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8b2788b",
   "metadata": {},
   "source": [
    "![MOKE Diagram](examples/MOKE.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0a65645",
   "metadata": {},
   "source": [
    "##### **CHADA Diagram for XRD:**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8e35690",
   "metadata": {},
   "source": [
    "![XRD Diagram](examples/XRD.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9043457",
   "metadata": {},
   "source": [
    "#### **A.2 CHADA Tables**\n",
    "CHADA Tables are used in MaMMoS to describe in details each experiment with a longer description that diagrams. Each important point about the experiment is described in a few lines. The color code is the same as for CHADA Tables."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a308e404",
   "metadata": {},
   "source": [
    "##### **CHADA Table for EDX:**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c64ee627",
   "metadata": {},
   "source": [
    "![EDX Table](examples/CHADA_TABLES_EDX.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc2300da",
   "metadata": {},
   "source": [
    "##### **CHADA Table for MOKE:**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b94bc08",
   "metadata": {},
   "source": [
    "![MOKE Table](examples/CHADA_TABLES_MOKE.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d5f74c9",
   "metadata": {},
   "source": [
    "##### **CHADA Table for XRD:**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bfef6c5",
   "metadata": {},
   "source": [
    "![XRD Table](examples/CHADA_TABLES_XRD.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cddc3fbc-21f7-4e89-bf49-1bb99c134c76",
   "metadata": {},
   "source": [
    "### **@end-of-notebook**"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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