{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matrix element LM plotting routines demo\n",
    "\n",
    "28/11/19 v1, 07/02/20 updated Euler grouping, \n",
    "\n",
    "Source [notebook on Github](https://github.com/phockett/ePSproc/blob/master/epsproc/tests/ePSproc_demo_matE_plotting_Feb2020.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic IO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* pyevtk not found, VTK export not available. \n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "import time\n",
    "import numpy as np\n",
    "\n",
    "# For module testing, include path to module here\n",
    "modPath = r'D:\\code\\github\\ePSproc'\n",
    "# modPath = r'/home/femtolab/github/ePSproc/'\n",
    "sys.path.append(modPath)\n",
    "import epsproc as ep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** ePSproc readMatEle(): scanning files for DumpIdy segments.\n",
      "\n",
      "*** Scanning file(s)\n",
      "['D:\\\\code\\\\github\\\\ePSproc\\\\data\\\\photoionization\\\\n2_3sg_0.1-50.1eV_A2.inp.out']\n",
      "\n",
      "*** Reading ePS output file:  D:\\code\\github\\ePSproc\\data\\photoionization\\n2_3sg_0.1-50.1eV_A2.inp.out\n",
      "Expecting 51 energy points.\n",
      "Expecting 2 symmetries.\n",
      "Scanning CrossSection segments.\n",
      "Expecting 102 DumpIdy segments.\n",
      "Found 102 dumpIdy segments (sets of matrix elements).\n",
      "\n",
      "Processing segments to Xarrays...\n",
      "Processed 102 sets of DumpIdy file segments, (0 blank)\n",
      "*** ePSproc readMatEle(): scanning files for CrossSection segments.\n",
      "\n",
      "*** Scanning file(s)\n",
      "['D:\\\\code\\\\github\\\\ePSproc\\\\data\\\\photoionization\\\\n2_3sg_0.1-50.1eV_A2.inp.out']\n",
      "\n",
      "*** Reading ePS output file:  D:\\code\\github\\ePSproc\\data\\photoionization\\n2_3sg_0.1-50.1eV_A2.inp.out\n",
      "Expecting 51 energy points.\n",
      "Expecting 2 symmetries.\n",
      "Scanning CrossSection segments.\n",
      "Expecting 3 CrossSection segments.\n",
      "Found 3 CrossSection segments (sets of results).\n",
      "Processed 3 sets of CrossSection file segments, (0 blank)\n"
     ]
    }
   ],
   "source": [
    "# Load data from modPath\\data\n",
    "dataPath = os.path.join(modPath, 'data', 'photoionization')\n",
    "dataFile = os.path.join(dataPath, 'n2_3sg_0.1-50.1eV_A2.inp.out')  # Set for sample N2 data for testing\n",
    "\n",
    "# Scan data file\n",
    "dataSet = ep.readMatEle(fileIn = dataFile)\n",
    "dataXS = ep.readMatEle(fileIn = dataFile, recordType = 'CrossSection')  # XS info currently not set in NO2 sample file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Job info from file header.\n",
      "\n",
      " ePS n2, batch n2_3sg_0.1-50.1eV, orbital A2\n",
      " N2 X-state (3sg-1)\n",
      " E=0.1:1.0:50.1 (51 points)\n",
      " Fri Nov 30 08:47:52 EST 2018\n",
      "\n",
      "*** Found orbitals\n",
      "1   1 Ene =     -15.6719 Spin =Alpha Occup =   2.000000\n",
      "2   2 Ene =     -15.6676 Spin =Alpha Occup =   2.000000\n",
      "3   3 Ene =      -1.4948 Spin =Alpha Occup =   2.000000\n",
      "4   4 Ene =      -0.7687 Spin =Alpha Occup =   2.000000\n",
      "5   5 Ene =      -0.6373 Spin =Alpha Occup =   2.000000\n",
      "6   6 Ene =      -0.6283 Spin =Alpha Occup =   2.000000\n",
      "7   7 Ene =      -0.6283 Spin =Alpha Occup =   2.000000\n",
      "\n",
      "*** Found atoms\n",
      "Z =  7 ZS =  7 r =   0.0000000000   0.0000000000   0.5328050000\n",
      "Z =  7 ZS =  7 r =   0.0000000000   0.0000000000  -0.5328050000\n"
     ]
    }
   ],
   "source": [
    "jobInfo = ep.headerFileParse(dataFile)\n",
    "molInfo = ep.molInfoParse(dataFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "*** Job summary data\n",
      " ePS n2, batch n2_3sg_0.1-50.1eV, orbital A2\n",
      " N2 X-state (3sg-1)\n",
      " E=0.1:1.0:50.1 (51 points)\n",
      " Fri Nov 30 08:47:52 EST 2018\n",
      "\n",
      "Electronic structure input: '/home/paul/ePS_stuff/n2/electronic_structure/n2_cc-pVQZ_geom.molden'\n",
      "Initial state occ:\t\t [2 2 2 2 2 4]\n",
      "Final state occ:\t\t [2 2 2 2 1 4]\n",
      "IPot (input vertical IP, eV):\t\t 15.58\n",
      "\n",
      "*** Additional orbital info (SymProd)\n",
      "Ionizing orb:\t\t\t [0 0 0 0 1 0]\n",
      "Ionizing orb sym:\t\t ['SG']\n",
      "Orb energy (eV):\t\t [-17.34181631]\n",
      "Orb energy (H):\t\t\t [-0.6373]\n",
      "Orb energy (cm^-1):\t\t [-139871.18257579]\n",
      "Threshold wavelength (nm):\t 71.49435513338314\n",
      "\n",
      "*** Molecular structure\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.jobSummary(jobInfo, molInfo);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic plotting\n",
    "\n",
    "As shown in the [basic demo notebook](https://epsproc.readthedocs.io/en/latest/ePSproc_demo_Aug2019/ePSproc_demo_Aug2019.html), basic plotting with Xarray functionality is a quick and easy way to plot matrix elements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot matrix elements using Xarray functionality\n",
    "daPlot = dataSet[0].sum('mu').sum('Sym').sel({'Type':'L'}).squeeze()\n",
    "daPlot.pipe(np.abs).plot.line(x='Eke');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For more control, additional preprocessing with thresholding & selection can be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "selDims = {'Type':'L','Cont':'PU'}\n",
    "daPlot = ep.matEleSelector(dataSet[0], thres=1e-2, inds = selDims, sq = True)\n",
    "daPlot.pipe(np.abs).sum('mu').plot.line(x='Eke');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... or faceting ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 570.375x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot with faceting on symmetry\n",
    "daPlot = ep.matEleSelector(dataSet[0], thres=1e-2, dims = 'Eke', sq = True).sum('mu').squeeze()\n",
    "daPlot.pipe(np.abs).plot.line(x='Eke', col='Sym', row='Type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting maps with lmPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For complex multidimensional cases line plots get busy, quickly.  A nice alternative is provided by [Seaborn's Clustermap](https://seaborn.pydata.org/examples/structured_heatmap.html), which produces a 2D map of values (i.e. a heatmap or image), with additional dimensional information as a side-bar.  This is now implemented in `ep.lmPlot()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot with sensible defaults - all dims\n",
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to use Seaborn, the data is converted from a multidimensional Xarray to a 2D Pandas array.  This displays nicely in Jupyter, so is also handy for inspecting values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Eke</th>\n",
       "      <th>0.1</th>\n",
       "      <th>1.1</th>\n",
       "      <th>2.1</th>\n",
       "      <th>3.1</th>\n",
       "      <th>4.1</th>\n",
       "      <th>5.1</th>\n",
       "      <th>6.1</th>\n",
       "      <th>7.1</th>\n",
       "      <th>8.1</th>\n",
       "      <th>9.1</th>\n",
       "      <th>...</th>\n",
       "      <th>41.1</th>\n",
       "      <th>42.1</th>\n",
       "      <th>43.1</th>\n",
       "      <th>44.1</th>\n",
       "      <th>45.1</th>\n",
       "      <th>46.1</th>\n",
       "      <th>47.1</th>\n",
       "      <th>48.1</th>\n",
       "      <th>49.1</th>\n",
       "      <th>50.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th>mu</th>\n",
       "      <th>Cont</th>\n",
       "      <th>Targ</th>\n",
       "      <th>Total</th>\n",
       "      <th>it</th>\n",
       "      <th>Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "      <td>5.546815</td>\n",
       "      <td>5.238038</td>\n",
       "      <td>4.958515</td>\n",
       "      <td>4.707928</td>\n",
       "      <td>...</td>\n",
       "      <td>4.042680</td>\n",
       "      <td>4.036124</td>\n",
       "      <td>4.026955</td>\n",
       "      <td>4.015319</td>\n",
       "      <td>4.001367</td>\n",
       "      <td>3.985246</td>\n",
       "      <td>3.967107</td>\n",
       "      <td>3.947097</td>\n",
       "      <td>3.925361</td>\n",
       "      <td>3.902040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>8.900023</td>\n",
       "      <td>8.224738</td>\n",
       "      <td>7.627702</td>\n",
       "      <td>7.095200</td>\n",
       "      <td>6.617558</td>\n",
       "      <td>6.187859</td>\n",
       "      <td>5.801034</td>\n",
       "      <td>5.453317</td>\n",
       "      <td>5.141863</td>\n",
       "      <td>4.864476</td>\n",
       "      <td>...</td>\n",
       "      <td>3.819254</td>\n",
       "      <td>3.808920</td>\n",
       "      <td>3.796564</td>\n",
       "      <td>3.782339</td>\n",
       "      <td>3.766394</td>\n",
       "      <td>3.748875</td>\n",
       "      <td>3.729921</td>\n",
       "      <td>3.709668</td>\n",
       "      <td>3.688240</td>\n",
       "      <td>3.665757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>11.823354</td>\n",
       "      <td>11.429458</td>\n",
       "      <td>11.111935</td>\n",
       "      <td>10.849149</td>\n",
       "      <td>10.627257</td>\n",
       "      <td>10.437825</td>\n",
       "      <td>10.275304</td>\n",
       "      <td>10.134910</td>\n",
       "      <td>10.010680</td>\n",
       "      <td>9.893534</td>\n",
       "      <td>...</td>\n",
       "      <td>2.013047</td>\n",
       "      <td>2.027855</td>\n",
       "      <td>2.044452</td>\n",
       "      <td>2.062457</td>\n",
       "      <td>2.081542</td>\n",
       "      <td>2.101424</td>\n",
       "      <td>2.121856</td>\n",
       "      <td>2.142623</td>\n",
       "      <td>2.163536</td>\n",
       "      <td>2.184431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>12.883046</td>\n",
       "      <td>12.311423</td>\n",
       "      <td>11.824577</td>\n",
       "      <td>11.410811</td>\n",
       "      <td>11.061133</td>\n",
       "      <td>10.768451</td>\n",
       "      <td>10.526367</td>\n",
       "      <td>10.328033</td>\n",
       "      <td>10.164873</td>\n",
       "      <td>10.025049</td>\n",
       "      <td>...</td>\n",
       "      <td>1.911386</td>\n",
       "      <td>1.913114</td>\n",
       "      <td>1.917096</td>\n",
       "      <td>1.922952</td>\n",
       "      <td>1.930353</td>\n",
       "      <td>1.939023</td>\n",
       "      <td>1.948722</td>\n",
       "      <td>1.959246</td>\n",
       "      <td>1.970418</td>\n",
       "      <td>1.982089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "      <td>5.546815</td>\n",
       "      <td>5.238038</td>\n",
       "      <td>4.958515</td>\n",
       "      <td>4.707928</td>\n",
       "      <td>...</td>\n",
       "      <td>4.042680</td>\n",
       "      <td>4.036124</td>\n",
       "      <td>4.026955</td>\n",
       "      <td>4.015319</td>\n",
       "      <td>4.001367</td>\n",
       "      <td>3.985246</td>\n",
       "      <td>3.967107</td>\n",
       "      <td>3.947097</td>\n",
       "      <td>3.925361</td>\n",
       "      <td>3.902040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>8.900023</td>\n",
       "      <td>8.224738</td>\n",
       "      <td>7.627702</td>\n",
       "      <td>7.095200</td>\n",
       "      <td>6.617558</td>\n",
       "      <td>6.187859</td>\n",
       "      <td>5.801034</td>\n",
       "      <td>5.453317</td>\n",
       "      <td>5.141863</td>\n",
       "      <td>4.864476</td>\n",
       "      <td>...</td>\n",
       "      <td>3.819254</td>\n",
       "      <td>3.808920</td>\n",
       "      <td>3.796564</td>\n",
       "      <td>3.782339</td>\n",
       "      <td>3.766394</td>\n",
       "      <td>3.748875</td>\n",
       "      <td>3.729921</td>\n",
       "      <td>3.709668</td>\n",
       "      <td>3.688240</td>\n",
       "      <td>3.665757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">3</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>2.620714</td>\n",
       "      <td>3.416440</td>\n",
       "      <td>4.071325</td>\n",
       "      <td>4.629875</td>\n",
       "      <td>5.118714</td>\n",
       "      <td>5.553100</td>\n",
       "      <td>5.941282</td>\n",
       "      <td>6.287526</td>\n",
       "      <td>6.594077</td>\n",
       "      <td>6.862346</td>\n",
       "      <td>...</td>\n",
       "      <td>5.148526</td>\n",
       "      <td>5.002561</td>\n",
       "      <td>4.857925</td>\n",
       "      <td>4.714821</td>\n",
       "      <td>4.573432</td>\n",
       "      <td>4.433917</td>\n",
       "      <td>4.296420</td>\n",
       "      <td>4.161067</td>\n",
       "      <td>4.027969</td>\n",
       "      <td>3.897223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>2.484140</td>\n",
       "      <td>3.291182</td>\n",
       "      <td>3.949586</td>\n",
       "      <td>4.494447</td>\n",
       "      <td>4.953052</td>\n",
       "      <td>5.345025</td>\n",
       "      <td>5.683818</td>\n",
       "      <td>5.978440</td>\n",
       "      <td>6.234936</td>\n",
       "      <td>6.457456</td>\n",
       "      <td>...</td>\n",
       "      <td>4.636261</td>\n",
       "      <td>4.495796</td>\n",
       "      <td>4.357692</td>\n",
       "      <td>4.222128</td>\n",
       "      <td>4.089249</td>\n",
       "      <td>3.959168</td>\n",
       "      <td>3.831972</td>\n",
       "      <td>3.707721</td>\n",
       "      <td>3.586455</td>\n",
       "      <td>3.468196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>3.513428</td>\n",
       "      <td>4.719556</td>\n",
       "      <td>5.785863</td>\n",
       "      <td>6.766306</td>\n",
       "      <td>7.695465</td>\n",
       "      <td>8.593950</td>\n",
       "      <td>9.472654</td>\n",
       "      <td>10.335015</td>\n",
       "      <td>11.177359</td>\n",
       "      <td>11.987428</td>\n",
       "      <td>...</td>\n",
       "      <td>0.992670</td>\n",
       "      <td>1.058092</td>\n",
       "      <td>1.127714</td>\n",
       "      <td>1.198394</td>\n",
       "      <td>1.268089</td>\n",
       "      <td>1.335497</td>\n",
       "      <td>1.399805</td>\n",
       "      <td>1.460528</td>\n",
       "      <td>1.517392</td>\n",
       "      <td>1.570263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>3.682143</td>\n",
       "      <td>4.976274</td>\n",
       "      <td>6.086735</td>\n",
       "      <td>7.067816</td>\n",
       "      <td>7.963633</td>\n",
       "      <td>8.806609</td>\n",
       "      <td>9.618839</td>\n",
       "      <td>10.413320</td>\n",
       "      <td>11.194093</td>\n",
       "      <td>11.954877</td>\n",
       "      <td>...</td>\n",
       "      <td>0.902085</td>\n",
       "      <td>0.948535</td>\n",
       "      <td>1.001878</td>\n",
       "      <td>1.058275</td>\n",
       "      <td>1.115154</td>\n",
       "      <td>1.170855</td>\n",
       "      <td>1.224342</td>\n",
       "      <td>1.274995</td>\n",
       "      <td>1.322471</td>\n",
       "      <td>1.366606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>2.620714</td>\n",
       "      <td>3.416440</td>\n",
       "      <td>4.071325</td>\n",
       "      <td>4.629875</td>\n",
       "      <td>5.118714</td>\n",
       "      <td>5.553100</td>\n",
       "      <td>5.941282</td>\n",
       "      <td>6.287526</td>\n",
       "      <td>6.594077</td>\n",
       "      <td>6.862346</td>\n",
       "      <td>...</td>\n",
       "      <td>5.148526</td>\n",
       "      <td>5.002561</td>\n",
       "      <td>4.857925</td>\n",
       "      <td>4.714821</td>\n",
       "      <td>4.573432</td>\n",
       "      <td>4.433917</td>\n",
       "      <td>4.296420</td>\n",
       "      <td>4.161067</td>\n",
       "      <td>4.027969</td>\n",
       "      <td>3.897223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>2.484140</td>\n",
       "      <td>3.291182</td>\n",
       "      <td>3.949586</td>\n",
       "      <td>4.494447</td>\n",
       "      <td>4.953052</td>\n",
       "      <td>5.345025</td>\n",
       "      <td>5.683818</td>\n",
       "      <td>5.978440</td>\n",
       "      <td>6.234936</td>\n",
       "      <td>6.457456</td>\n",
       "      <td>...</td>\n",
       "      <td>4.636261</td>\n",
       "      <td>4.495796</td>\n",
       "      <td>4.357692</td>\n",
       "      <td>4.222128</td>\n",
       "      <td>4.089249</td>\n",
       "      <td>3.959168</td>\n",
       "      <td>3.831972</td>\n",
       "      <td>3.707721</td>\n",
       "      <td>3.586455</td>\n",
       "      <td>3.468196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">5</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.013835</td>\n",
       "      <td>0.021033</td>\n",
       "      <td>0.026999</td>\n",
       "      <td>0.033004</td>\n",
       "      <td>0.039974</td>\n",
       "      <td>0.048709</td>\n",
       "      <td>0.059861</td>\n",
       "      <td>0.073792</td>\n",
       "      <td>0.090524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.590336</td>\n",
       "      <td>0.593791</td>\n",
       "      <td>0.596895</td>\n",
       "      <td>0.599690</td>\n",
       "      <td>0.602218</td>\n",
       "      <td>0.604516</td>\n",
       "      <td>0.606620</td>\n",
       "      <td>0.608561</td>\n",
       "      <td>0.610372</td>\n",
       "      <td>0.612081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.002819</td>\n",
       "      <td>0.010751</td>\n",
       "      <td>0.017869</td>\n",
       "      <td>0.026216</td>\n",
       "      <td>0.036675</td>\n",
       "      <td>0.049162</td>\n",
       "      <td>0.063460</td>\n",
       "      <td>0.079409</td>\n",
       "      <td>0.096872</td>\n",
       "      <td>0.115674</td>\n",
       "      <td>...</td>\n",
       "      <td>0.525880</td>\n",
       "      <td>0.528078</td>\n",
       "      <td>0.530057</td>\n",
       "      <td>0.531856</td>\n",
       "      <td>0.533511</td>\n",
       "      <td>0.535057</td>\n",
       "      <td>0.536522</td>\n",
       "      <td>0.537936</td>\n",
       "      <td>0.539322</td>\n",
       "      <td>0.540704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.006473</td>\n",
       "      <td>0.021244</td>\n",
       "      <td>0.032261</td>\n",
       "      <td>0.041993</td>\n",
       "      <td>0.052580</td>\n",
       "      <td>0.065454</td>\n",
       "      <td>0.081763</td>\n",
       "      <td>0.102433</td>\n",
       "      <td>0.127951</td>\n",
       "      <td>0.158158</td>\n",
       "      <td>...</td>\n",
       "      <td>0.498452</td>\n",
       "      <td>0.521782</td>\n",
       "      <td>0.544691</td>\n",
       "      <td>0.567177</td>\n",
       "      <td>0.589239</td>\n",
       "      <td>0.610871</td>\n",
       "      <td>0.632070</td>\n",
       "      <td>0.652828</td>\n",
       "      <td>0.673139</td>\n",
       "      <td>0.692996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.005091</td>\n",
       "      <td>0.017458</td>\n",
       "      <td>0.027707</td>\n",
       "      <td>0.039802</td>\n",
       "      <td>0.055471</td>\n",
       "      <td>0.074663</td>\n",
       "      <td>0.097135</td>\n",
       "      <td>0.122785</td>\n",
       "      <td>0.151483</td>\n",
       "      <td>0.182848</td>\n",
       "      <td>...</td>\n",
       "      <td>0.407791</td>\n",
       "      <td>0.428275</td>\n",
       "      <td>0.448349</td>\n",
       "      <td>0.468019</td>\n",
       "      <td>0.487292</td>\n",
       "      <td>0.506174</td>\n",
       "      <td>0.524672</td>\n",
       "      <td>0.542791</td>\n",
       "      <td>0.560539</td>\n",
       "      <td>0.577920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.013835</td>\n",
       "      <td>0.021033</td>\n",
       "      <td>0.026999</td>\n",
       "      <td>0.033004</td>\n",
       "      <td>0.039974</td>\n",
       "      <td>0.048709</td>\n",
       "      <td>0.059861</td>\n",
       "      <td>0.073792</td>\n",
       "      <td>0.090524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.590336</td>\n",
       "      <td>0.593791</td>\n",
       "      <td>0.596895</td>\n",
       "      <td>0.599690</td>\n",
       "      <td>0.602218</td>\n",
       "      <td>0.604516</td>\n",
       "      <td>0.606620</td>\n",
       "      <td>0.608561</td>\n",
       "      <td>0.610372</td>\n",
       "      <td>0.612081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.002819</td>\n",
       "      <td>0.010751</td>\n",
       "      <td>0.017869</td>\n",
       "      <td>0.026216</td>\n",
       "      <td>0.036675</td>\n",
       "      <td>0.049162</td>\n",
       "      <td>0.063460</td>\n",
       "      <td>0.079409</td>\n",
       "      <td>0.096872</td>\n",
       "      <td>0.115674</td>\n",
       "      <td>...</td>\n",
       "      <td>0.525880</td>\n",
       "      <td>0.528078</td>\n",
       "      <td>0.530057</td>\n",
       "      <td>0.531856</td>\n",
       "      <td>0.533511</td>\n",
       "      <td>0.535057</td>\n",
       "      <td>0.536522</td>\n",
       "      <td>0.537936</td>\n",
       "      <td>0.539322</td>\n",
       "      <td>0.540704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">7</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>0.000305</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000362</td>\n",
       "      <td>0.000320</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031990</td>\n",
       "      <td>0.033121</td>\n",
       "      <td>0.034251</td>\n",
       "      <td>0.035381</td>\n",
       "      <td>0.036513</td>\n",
       "      <td>0.037648</td>\n",
       "      <td>0.038786</td>\n",
       "      <td>0.039930</td>\n",
       "      <td>0.041080</td>\n",
       "      <td>0.042237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.000150</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>0.000356</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>0.000630</td>\n",
       "      <td>0.000840</td>\n",
       "      <td>0.001086</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022021</td>\n",
       "      <td>0.022759</td>\n",
       "      <td>0.023500</td>\n",
       "      <td>0.024244</td>\n",
       "      <td>0.024994</td>\n",
       "      <td>0.025749</td>\n",
       "      <td>0.026511</td>\n",
       "      <td>0.027280</td>\n",
       "      <td>0.028058</td>\n",
       "      <td>0.028846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>0.000355</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000224</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>0.000628</td>\n",
       "      <td>0.000955</td>\n",
       "      <td>...</td>\n",
       "      <td>0.040133</td>\n",
       "      <td>0.042184</td>\n",
       "      <td>0.044257</td>\n",
       "      <td>0.046351</td>\n",
       "      <td>0.048466</td>\n",
       "      <td>0.050598</td>\n",
       "      <td>0.052748</td>\n",
       "      <td>0.054914</td>\n",
       "      <td>0.057094</td>\n",
       "      <td>0.059287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>0.000240</td>\n",
       "      <td>0.000265</td>\n",
       "      <td>0.000252</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000552</td>\n",
       "      <td>0.000822</td>\n",
       "      <td>0.001123</td>\n",
       "      <td>0.001465</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023763</td>\n",
       "      <td>0.025165</td>\n",
       "      <td>0.026594</td>\n",
       "      <td>0.028051</td>\n",
       "      <td>0.029534</td>\n",
       "      <td>0.031041</td>\n",
       "      <td>0.032572</td>\n",
       "      <td>0.034127</td>\n",
       "      <td>0.035704</td>\n",
       "      <td>0.037303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>0.000305</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000362</td>\n",
       "      <td>0.000320</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031990</td>\n",
       "      <td>0.033121</td>\n",
       "      <td>0.034251</td>\n",
       "      <td>0.035381</td>\n",
       "      <td>0.036513</td>\n",
       "      <td>0.037648</td>\n",
       "      <td>0.038786</td>\n",
       "      <td>0.039930</td>\n",
       "      <td>0.041080</td>\n",
       "      <td>0.042237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.000150</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>0.000356</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>0.000630</td>\n",
       "      <td>0.000840</td>\n",
       "      <td>0.001086</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022021</td>\n",
       "      <td>0.022759</td>\n",
       "      <td>0.023500</td>\n",
       "      <td>0.024244</td>\n",
       "      <td>0.024994</td>\n",
       "      <td>0.025749</td>\n",
       "      <td>0.026511</td>\n",
       "      <td>0.027280</td>\n",
       "      <td>0.028058</td>\n",
       "      <td>0.028846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Eke                                   0.1        1.1        2.1        3.1   \\\n",
       "l m  mu Cont Targ Total it Type                                               \n",
       "1 -1  1 PU   SG   PU    1  L      8.143443   7.593716   7.103404   6.660060   \n",
       "                           V      8.900023   8.224738   7.627702   7.095200   \n",
       "   0  0 SU   SG   SU    1  L     11.823354  11.429458  11.111935  10.849149   \n",
       "                           V     12.883046  12.311423  11.824577  11.410811   \n",
       "   1 -1 PU   SG   PU    1  L      8.143443   7.593716   7.103404   6.660060   \n",
       "                           V      8.900023   8.224738   7.627702   7.095200   \n",
       "3 -1  1 PU   SG   PU    1  L      2.620714   3.416440   4.071325   4.629875   \n",
       "                           V      2.484140   3.291182   3.949586   4.494447   \n",
       "   0  0 SU   SG   SU    1  L      3.513428   4.719556   5.785863   6.766306   \n",
       "                           V      3.682143   4.976274   6.086735   7.067816   \n",
       "   1 -1 PU   SG   PU    1  L      2.620714   3.416440   4.071325   4.629875   \n",
       "                           V      2.484140   3.291182   3.949586   4.494447   \n",
       "5 -1  1 PU   SG   PU    1  L      0.003993   0.013835   0.021033   0.026999   \n",
       "                           V      0.002819   0.010751   0.017869   0.026216   \n",
       "   0  0 SU   SG   SU    1  L      0.006473   0.021244   0.032261   0.041993   \n",
       "                           V      0.005091   0.017458   0.027707   0.039802   \n",
       "   1 -1 PU   SG   PU    1  L      0.003993   0.013835   0.021033   0.026999   \n",
       "                           V      0.002819   0.010751   0.017869   0.026216   \n",
       "7 -1  1 PU   SG   PU    1  L      0.000024   0.000158   0.000305   0.000394   \n",
       "                           V      0.000025   0.000150   0.000266   0.000318   \n",
       "   0  0 SU   SG   SU    1  L      0.000020   0.000145   0.000292   0.000373   \n",
       "                           V      0.000022   0.000137   0.000240   0.000265   \n",
       "   1 -1 PU   SG   PU    1  L      0.000024   0.000158   0.000305   0.000394   \n",
       "                           V      0.000025   0.000150   0.000266   0.000318   \n",
       "\n",
       "Eke                                   4.1        5.1        6.1        7.1   \\\n",
       "l m  mu Cont Targ Total it Type                                               \n",
       "1 -1  1 PU   SG   PU    1  L      6.255712   5.885550   5.546815   5.238038   \n",
       "                           V      6.617558   6.187859   5.801034   5.453317   \n",
       "   0  0 SU   SG   SU    1  L     10.627257  10.437825  10.275304  10.134910   \n",
       "                           V     11.061133  10.768451  10.526367  10.328033   \n",
       "   1 -1 PU   SG   PU    1  L      6.255712   5.885550   5.546815   5.238038   \n",
       "                           V      6.617558   6.187859   5.801034   5.453317   \n",
       "3 -1  1 PU   SG   PU    1  L      5.118714   5.553100   5.941282   6.287526   \n",
       "                           V      4.953052   5.345025   5.683818   5.978440   \n",
       "   0  0 SU   SG   SU    1  L      7.695465   8.593950   9.472654  10.335015   \n",
       "                           V      7.963633   8.806609   9.618839  10.413320   \n",
       "   1 -1 PU   SG   PU    1  L      5.118714   5.553100   5.941282   6.287526   \n",
       "                           V      4.953052   5.345025   5.683818   5.978440   \n",
       "5 -1  1 PU   SG   PU    1  L      0.033004   0.039974   0.048709   0.059861   \n",
       "                           V      0.036675   0.049162   0.063460   0.079409   \n",
       "   0  0 SU   SG   SU    1  L      0.052580   0.065454   0.081763   0.102433   \n",
       "                           V      0.055471   0.074663   0.097135   0.122785   \n",
       "   1 -1 PU   SG   PU    1  L      0.033004   0.039974   0.048709   0.059861   \n",
       "                           V      0.036675   0.049162   0.063460   0.079409   \n",
       "7 -1  1 PU   SG   PU    1  L      0.000405   0.000362   0.000320   0.000354   \n",
       "                           V      0.000325   0.000356   0.000461   0.000630   \n",
       "   0  0 SU   SG   SU    1  L      0.000355   0.000266   0.000224   0.000373   \n",
       "                           V      0.000252   0.000340   0.000552   0.000822   \n",
       "   1 -1 PU   SG   PU    1  L      0.000405   0.000362   0.000320   0.000354   \n",
       "                           V      0.000325   0.000356   0.000461   0.000630   \n",
       "\n",
       "Eke                                   8.1        9.1   ...      41.1  \\\n",
       "l m  mu Cont Targ Total it Type                        ...             \n",
       "1 -1  1 PU   SG   PU    1  L      4.958515   4.707928  ...  4.042680   \n",
       "                           V      5.141863   4.864476  ...  3.819254   \n",
       "   0  0 SU   SG   SU    1  L     10.010680   9.893534  ...  2.013047   \n",
       "                           V     10.164873  10.025049  ...  1.911386   \n",
       "   1 -1 PU   SG   PU    1  L      4.958515   4.707928  ...  4.042680   \n",
       "                           V      5.141863   4.864476  ...  3.819254   \n",
       "3 -1  1 PU   SG   PU    1  L      6.594077   6.862346  ...  5.148526   \n",
       "                           V      6.234936   6.457456  ...  4.636261   \n",
       "   0  0 SU   SG   SU    1  L     11.177359  11.987428  ...  0.992670   \n",
       "                           V     11.194093  11.954877  ...  0.902085   \n",
       "   1 -1 PU   SG   PU    1  L      6.594077   6.862346  ...  5.148526   \n",
       "                           V      6.234936   6.457456  ...  4.636261   \n",
       "5 -1  1 PU   SG   PU    1  L      0.073792   0.090524  ...  0.590336   \n",
       "                           V      0.096872   0.115674  ...  0.525880   \n",
       "   0  0 SU   SG   SU    1  L      0.127951   0.158158  ...  0.498452   \n",
       "                           V      0.151483   0.182848  ...  0.407791   \n",
       "   1 -1 PU   SG   PU    1  L      0.073792   0.090524  ...  0.590336   \n",
       "                           V      0.096872   0.115674  ...  0.525880   \n",
       "7 -1  1 PU   SG   PU    1  L      0.000491   0.000707  ...  0.031990   \n",
       "                           V      0.000840   0.001086  ...  0.022021   \n",
       "   0  0 SU   SG   SU    1  L      0.000628   0.000955  ...  0.040133   \n",
       "                           V      0.001123   0.001465  ...  0.023763   \n",
       "   1 -1 PU   SG   PU    1  L      0.000491   0.000707  ...  0.031990   \n",
       "                           V      0.000840   0.001086  ...  0.022021   \n",
       "\n",
       "Eke                                  42.1      43.1      44.1      45.1  \\\n",
       "l m  mu Cont Targ Total it Type                                           \n",
       "1 -1  1 PU   SG   PU    1  L     4.036124  4.026955  4.015319  4.001367   \n",
       "                           V     3.808920  3.796564  3.782339  3.766394   \n",
       "   0  0 SU   SG   SU    1  L     2.027855  2.044452  2.062457  2.081542   \n",
       "                           V     1.913114  1.917096  1.922952  1.930353   \n",
       "   1 -1 PU   SG   PU    1  L     4.036124  4.026955  4.015319  4.001367   \n",
       "                           V     3.808920  3.796564  3.782339  3.766394   \n",
       "3 -1  1 PU   SG   PU    1  L     5.002561  4.857925  4.714821  4.573432   \n",
       "                           V     4.495796  4.357692  4.222128  4.089249   \n",
       "   0  0 SU   SG   SU    1  L     1.058092  1.127714  1.198394  1.268089   \n",
       "                           V     0.948535  1.001878  1.058275  1.115154   \n",
       "   1 -1 PU   SG   PU    1  L     5.002561  4.857925  4.714821  4.573432   \n",
       "                           V     4.495796  4.357692  4.222128  4.089249   \n",
       "5 -1  1 PU   SG   PU    1  L     0.593791  0.596895  0.599690  0.602218   \n",
       "                           V     0.528078  0.530057  0.531856  0.533511   \n",
       "   0  0 SU   SG   SU    1  L     0.521782  0.544691  0.567177  0.589239   \n",
       "                           V     0.428275  0.448349  0.468019  0.487292   \n",
       "   1 -1 PU   SG   PU    1  L     0.593791  0.596895  0.599690  0.602218   \n",
       "                           V     0.528078  0.530057  0.531856  0.533511   \n",
       "7 -1  1 PU   SG   PU    1  L     0.033121  0.034251  0.035381  0.036513   \n",
       "                           V     0.022759  0.023500  0.024244  0.024994   \n",
       "   0  0 SU   SG   SU    1  L     0.042184  0.044257  0.046351  0.048466   \n",
       "                           V     0.025165  0.026594  0.028051  0.029534   \n",
       "   1 -1 PU   SG   PU    1  L     0.033121  0.034251  0.035381  0.036513   \n",
       "                           V     0.022759  0.023500  0.024244  0.024994   \n",
       "\n",
       "Eke                                  46.1      47.1      48.1      49.1  \\\n",
       "l m  mu Cont Targ Total it Type                                           \n",
       "1 -1  1 PU   SG   PU    1  L     3.985246  3.967107  3.947097  3.925361   \n",
       "                           V     3.748875  3.729921  3.709668  3.688240   \n",
       "   0  0 SU   SG   SU    1  L     2.101424  2.121856  2.142623  2.163536   \n",
       "                           V     1.939023  1.948722  1.959246  1.970418   \n",
       "   1 -1 PU   SG   PU    1  L     3.985246  3.967107  3.947097  3.925361   \n",
       "                           V     3.748875  3.729921  3.709668  3.688240   \n",
       "3 -1  1 PU   SG   PU    1  L     4.433917  4.296420  4.161067  4.027969   \n",
       "                           V     3.959168  3.831972  3.707721  3.586455   \n",
       "   0  0 SU   SG   SU    1  L     1.335497  1.399805  1.460528  1.517392   \n",
       "                           V     1.170855  1.224342  1.274995  1.322471   \n",
       "   1 -1 PU   SG   PU    1  L     4.433917  4.296420  4.161067  4.027969   \n",
       "                           V     3.959168  3.831972  3.707721  3.586455   \n",
       "5 -1  1 PU   SG   PU    1  L     0.604516  0.606620  0.608561  0.610372   \n",
       "                           V     0.535057  0.536522  0.537936  0.539322   \n",
       "   0  0 SU   SG   SU    1  L     0.610871  0.632070  0.652828  0.673139   \n",
       "                           V     0.506174  0.524672  0.542791  0.560539   \n",
       "   1 -1 PU   SG   PU    1  L     0.604516  0.606620  0.608561  0.610372   \n",
       "                           V     0.535057  0.536522  0.537936  0.539322   \n",
       "7 -1  1 PU   SG   PU    1  L     0.037648  0.038786  0.039930  0.041080   \n",
       "                           V     0.025749  0.026511  0.027280  0.028058   \n",
       "   0  0 SU   SG   SU    1  L     0.050598  0.052748  0.054914  0.057094   \n",
       "                           V     0.031041  0.032572  0.034127  0.035704   \n",
       "   1 -1 PU   SG   PU    1  L     0.037648  0.038786  0.039930  0.041080   \n",
       "                           V     0.025749  0.026511  0.027280  0.028058   \n",
       "\n",
       "Eke                                  50.1  \n",
       "l m  mu Cont Targ Total it Type            \n",
       "1 -1  1 PU   SG   PU    1  L     3.902040  \n",
       "                           V     3.665757  \n",
       "   0  0 SU   SG   SU    1  L     2.184431  \n",
       "                           V     1.982089  \n",
       "   1 -1 PU   SG   PU    1  L     3.902040  \n",
       "                           V     3.665757  \n",
       "3 -1  1 PU   SG   PU    1  L     3.897223  \n",
       "                           V     3.468196  \n",
       "   0  0 SU   SG   SU    1  L     1.570263  \n",
       "                           V     1.366606  \n",
       "   1 -1 PU   SG   PU    1  L     3.897223  \n",
       "                           V     3.468196  \n",
       "5 -1  1 PU   SG   PU    1  L     0.612081  \n",
       "                           V     0.540704  \n",
       "   0  0 SU   SG   SU    1  L     0.692996  \n",
       "                           V     0.577920  \n",
       "   1 -1 PU   SG   PU    1  L     0.612081  \n",
       "                           V     0.540704  \n",
       "7 -1  1 PU   SG   PU    1  L     0.042237  \n",
       "                           V     0.028846  \n",
       "   0  0 SU   SG   SU    1  L     0.059287  \n",
       "                           V     0.037303  \n",
       "   1 -1 PU   SG   PU    1  L     0.042237  \n",
       "                           V     0.028846  \n",
       "\n",
       "[24 rows x 51 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daPlotpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Eke</th>\n",
       "      <th>0.1</th>\n",
       "      <th>1.1</th>\n",
       "      <th>2.1</th>\n",
       "      <th>3.1</th>\n",
       "      <th>4.1</th>\n",
       "      <th>5.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th>mu</th>\n",
       "      <th>Cont</th>\n",
       "      <th>Targ</th>\n",
       "      <th>Total</th>\n",
       "      <th>it</th>\n",
       "      <th>Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>8.900023</td>\n",
       "      <td>8.224738</td>\n",
       "      <td>7.627702</td>\n",
       "      <td>7.095200</td>\n",
       "      <td>6.617558</td>\n",
       "      <td>6.187859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>11.823354</td>\n",
       "      <td>11.429458</td>\n",
       "      <td>11.111935</td>\n",
       "      <td>10.849149</td>\n",
       "      <td>10.627257</td>\n",
       "      <td>10.437825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>12.883046</td>\n",
       "      <td>12.311423</td>\n",
       "      <td>11.824577</td>\n",
       "      <td>11.410811</td>\n",
       "      <td>11.061133</td>\n",
       "      <td>10.768451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>L</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>8.900023</td>\n",
       "      <td>8.224738</td>\n",
       "      <td>7.627702</td>\n",
       "      <td>7.095200</td>\n",
       "      <td>6.617558</td>\n",
       "      <td>6.187859</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Eke                                    0.1        1.1        2.1        3.1  \\\n",
       "l m  mu Cont Targ Total it Type                                               \n",
       "1 -1  1 PU   SG   PU    1  L      8.143443   7.593716   7.103404   6.660060   \n",
       "                           V      8.900023   8.224738   7.627702   7.095200   \n",
       "   0  0 SU   SG   SU    1  L     11.823354  11.429458  11.111935  10.849149   \n",
       "                           V     12.883046  12.311423  11.824577  11.410811   \n",
       "   1 -1 PU   SG   PU    1  L      8.143443   7.593716   7.103404   6.660060   \n",
       "                           V      8.900023   8.224738   7.627702   7.095200   \n",
       "\n",
       "Eke                                    4.1        5.1  \n",
       "l m  mu Cont Targ Total it Type                        \n",
       "1 -1  1 PU   SG   PU    1  L      6.255712   5.885550  \n",
       "                           V      6.617558   6.187859  \n",
       "   0  0 SU   SG   SU    1  L     10.627257  10.437825  \n",
       "                           V     11.061133  10.768451  \n",
       "   1 -1 PU   SG   PU    1  L      6.255712   5.885550  \n",
       "                           V      6.617558   6.187859  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With slicing by index (dims, energy)\n",
    "daPlotpd.iloc[0:6, 0:6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examples..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Various settings can be passed for more control over the plot.\n",
    "\n",
    "**Example with**\n",
    "- Selection on Type = L\n",
    "- Thresholding type by % of max value\n",
    "- Log10 scaling\n",
    "- Extended figure size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, \n",
    "                                               plotDims = ('l','m','mu','Cont','Targ','Total','it'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10), logFlag = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'n2_3sg_0.1-50.1eV_A2.inp.out' (Eke: 51, it: 1, plotDim: 108)>\n",
       "array([[[nan, nan, ..., nan, nan]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[nan, nan, ..., nan, nan]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan]]])\n",
       "Coordinates:\n",
       "  * it       (it) int64 1\n",
       "    Type     <U1 'L'\n",
       "  * Eke      (Eke) float64 0.1 1.1 2.1 3.1 4.1 5.1 ... 46.1 47.1 48.1 49.1 50.1\n",
       "    Ehv      (Eke) float64 15.68 16.68 17.68 18.68 ... 62.68 63.68 64.68 65.68\n",
       "    SF       (Eke) complex128 (2.1560627+3.741674j) ... (4.4127053+1.8281945j)\n",
       "  * plotDim  (plotDim) MultiIndex\n",
       "  - l        (plotDim) int64 1 1 1 1 1 1 1 1 1 1 1 1 ... 5 5 5 5 5 5 5 5 5 5 5 5\n",
       "  - m        (plotDim) int64 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... 1 1 1 1 1 1 1 1 1\n",
       "  - mu       (plotDim) int64 -1 -1 -1 -1 0 0 0 0 1 1 1 ... -1 -1 0 0 0 0 1 1 1 1\n",
       "  - Cont     (plotDim) object 'PU' 'PU' 'SU' 'SU' 'PU' ... 'PU' 'PU' 'SU' 'SU'\n",
       "  - Targ     (plotDim) object 'SG' 'SG' 'SG' 'SG' 'SG' ... 'SG' 'SG' 'SG' 'SG'\n",
       "  - Total    (plotDim) object 'PU' 'SU' 'PU' 'SU' 'PU' ... 'PU' 'SU' 'PU' 'SU'\n",
       "Attributes:\n",
       "    Lmax:          11\n",
       "    Targ:          SG\n",
       "    QNs:           ['m', 'l', 'mu', 'ip', 'it', 'Value']\n",
       "    dataType:      matE\n",
       "    file:          n2_3sg_0.1-50.1eV_A2.inp.out\n",
       "    fileBase:      D:\\code\\github\\ePSproc\\data\\photoionization\n",
       "    pType:         a\n",
       "    pTypeDetails:  {'Type': 'abs', 'Formula': 'np.abs(dataPlot)', 'Exec': <fu..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daPlot.unstack().stack(plotDim = ('l','m','mu','Cont','Targ','Total'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Example with**\n",
    "- Selection on Type = L\n",
    "- Sum over mu\n",
    "- Thresholding type by % of max value\n",
    "- Log10 scaling\n",
    "- Extended figure size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, sumDims = ['mu'],\n",
    "                                               plotDims = ('l','m','Cont','Targ','Total'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10), logFlag = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Example with**\n",
    "- Selection on Type = L\n",
    "- Sum over mu and Sym\n",
    "- Thresholding type by % of max value\n",
    "- Log10 scaling\n",
    "- Extended figure size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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ndt111x5dXPtHP/pRfvCDH6xT/aT6YKQRwUvV69AK++iTn/xk5b+YVt2jFebQCk8EGzGHZl+Hquu3wrnQ7PWT5j+OGtHDOvRMs58PrfCY1ArnWyscq82+Dh0dHdluu+1y8MEHv+a2kyZNym9+85se125Uj1aYQ3t7e0aOHJk3vvGNr7nttGnT8vDDD69T/Ub0qLp+I9a52fdR0pjHpN4mtAAq8YlPfCLHH3989tlnnxxyyCEbtPagQYMyduzYnHvuua+57XXXXZerr766uD6NmEPVPUaPHp05c+b06GPHHnjggXWqvVLVwUgjgpeq16EV9lG/fv2y00475b3vfe9rbnvnnXfm9ttvL65HK8yhFZ4INmIOzb4OVddvhXOh2esnzX8cNaKHdeiZZj8fWuExqRXOt1Y4Vpt9HXbYYYd0dHT06Hf6Sy+9dL3GX3WPVpjDqFGjMmjQoB59jPall166Xi9mV92j6vqNWOdm30dJYx6TepvQAqjE9ttvn/PPPz+nnXZahg0blq233jptbW2rbVOr1dbrQt+77LJLpk+fnq222uo1tx04cOA6129En0bMoeoeO++8c66//vosXrw4/fv3f83te/qX+v9T1cFII4KXqtehFfbRTjvtlKVLl+boo49+zW2feeaZ9XpBoeoerTCHVngi2Ig5NPs6VF2/Fc6FZq+fNP9x1Ige1qFnmv18aIXHpFY431rhWG32ddhll11yyy23pLu7O+3t7es8thJ6tMocJk6cuMHrNrJHI+o3Yp2beR8ljXlM6m1tr70JwLq76667csYZZ2TFihVZuHBhZs6cmRkzZqz276mnnlqv2jvvvHNmzJiRl1566TW3rdfr6/ViedV9GjGHqnscccQROeWUU7J48eLX3PbII4/MhAkT1ql+8socpk+f3qMeyboHI1XXX9mjynVolX305z//OS+//PI637eUHq0wh1122SWPPvpouru7K6nfiB6NmEOzr0PV9VvhXGj2+knzH0eN6GEdeqbZz4dWeExqhfOtFY7VZl+Ht7zlLRk7dmyee+6519x27733zvjx44vr0Qpz2HPPPTN48OA8/fTTr7ntzjvvnKOOOmqd6jeiR9X1G7HOzb6PksY8JvW29nN78nkVAOvo9NNPT0dHR6699tp85jOfyQc+8IG1/lsfW221VXbddddsu+226dev36tuO3r06Bx77LHr9RfsVfZpxByq7rH55ptnn3326dG7LAYMGNCjdxr8b4MHD87w4cMzevTo1+yz1VZb5cADD1ynPlXXX3m/KtehFfZR3759kyTjxo1LZ2fnq247cODAjB07NqNHjy6qRyvMYdmyZXnuueey3377ZcCAAa+6ba1Wy4gRI3r0DpxG9mjEHJp9Haqu3wrnQrPXT5r/OGpED+vQM81+PrTCY1IrnG+tcKw2+zpsv/32OeaYY16zbpL1GnsjerTCHHbbbbd84AMf6NHzvVGjRuWggw5ap/qN6FF1/Uasc7Pvo6Qxj0m9rVZf3z9BBngVY8eOzZlnnpkPfvCDvT0UAAAAAKBJ+HgooBLDhw/PihUrensYAAAAAEATEVoAlXjPe96Tm266KcuXL+/todDL5s2bl4svvjiXXHJJbw8FAACAv2DJkiWZNGlSJk2a1LQ9WmEO3d3dmTlzZmbOnFlJ/Ub0qLp+I9a52fdRs/PxUEAl7r333nzlK1/JsmXLctxxx2XkyJFpb29fY7u99967sjE8//zz+cpXvpJarZYLLrigKfs0Yg5V93jsscdy2GGHpVar5eGHH97g9ZNXgpFvfvObqdVq63Uhrt6un1S/Dq2wjxYsWJCJEycmyXpdrKyEHq0whyVLluT3v/99kuoew6vu0Yg5NPs6VF2/Fc6FZq+fNP9x1Ige1qFnmv18aIXHpFY431rhWG32dVj53K2trS1Tp07doLUb1cMcyujR7PUb0aMRc2jEY1JVhBZAJXbeeefVvq7Vaqt9Xa/XK30RO2nMi+VV92nEHKrusWDBgtx+++1JkqOPPnqD10+qn0MrrEOz12+VHq00B08QetajWdehUfVb4Vxo1vr/s0ezHkeN6GEd1q1Hs54PrfSY1ArnWyscq826Ds8//3y+/OUvp1ar5cILL9ygtRvVoxXmMGvWrHzqU59Kklx77bUbvH4jelRdvxHr3Oz7KGnMY1JVOnp7AEBrquqHxroYMWJEJkyY0NR9GjGHqnt0dXVVFlasNHz48EqPuarrJ9WvQyvso9e97nUZP378GiFoM/VohTkMGDAgRx11VKVzqLpHI+bQ7OtQdf1WOBeavX7S/MdRI3pYh55p9vOhFR6TWuF8a4VjtdnXYdiwYfnSl760wes2skcrzGHLLbes7EXsRvWoun4j1rnZ91HSmMekqninBQCVmDNnTi666KK8//3vz2677dbbwwEAAACgCXinBdDUZs6cmYceeijPPPNMlixZkn79+mWLLbbImDFjstVWW/X28Io2c+bMzJ8/P294wxuyySabbPD6CxcuzE033ZSDDz646UKL6dOn5/7778+LL76YIUOGZP/998/mm2++XrWee+65DB8+fAOPcE0LFy7MJptskj59+qz63ty5c/O73/0u3d3dGTNmTLbYYou/qsfLL7+cP/3pT5k1a1YWL16crq6ubLfddtlmm23+2uEDAAANNH/+/CxevDj9+/fPwIEDe3s4JFm6dGmmTJmSnXbaKZtttllvD2edLV26NPPnz8+gQYMqeY2BjYt3WgBNadq0afniF7+YyZMnJ3nlGhkrrXzb21577ZXPfvaza1xfoxSPP/54/vM//zPTpk3LkCFD8u53v3utF4ObOHFiLrzwwtxxxx3r3OPee+/N1772tcyfPz8HHHBATj311CxdujRnnHFGfvWrXyVJBg4cmHPOOSeHH374OtU+4YQTXvX2JUuWrPqFa8iQIanVarnyyivXqcfixYvTt2/ftLW1rfre3Llzc/HFF+cXv/hF5s2bl6FDh+bAAw/Mqaeeus6/bN98882ZOXNmTj755CSvHEfnnXdevvvd76Zer6+69kpHR0c++tGP5iMf+cg61U+S0aNHZ9ddd82xxx6bww47LJ2dnetc49UsX748n/nMZ3Lrrbemra0tp512Wk4++eR8//vfzxe/+MUsWbIkSdLW1pbjjjsuZ5999jr3mDt3br761a/m1ltvzaJFi9a4fdttt80pp5ySI4444q+ez8p+zz777KonUZtvvnlT/tLeahYsWJCf/vSn2W+//TJixIjeHs46e/zxx1cFkVtvvXVvD2e9LViwIN3d3Rk0aNAGq7nyRYuurq4N/hjlfC6T87kMzXY+J87pEjmfy1DF+Zxs2HO6Xq/nhz/8YW688cb84Q9/yOLFi1fd1r9//4wZMyZHHnlkjj766Mo/SubOO+/Mbbfdtl4fL3vXXXeteg590EEHrfU54LRp03L77bfntNNOW+f6S5cuzU9/+tO89NJLefOb35xRo0YlSX7yk5/k+uuvz/z58zNu3LiMHz8+Q4cOXef6r+bJJ5/MIYcckv/4j//IO97xjg1a+6GHHspdd92VuXPnZujQoTnggAPW67WSmTNn5sUXX8zo0aNXfe+BBx7Il7/85Tz44INZsWJF2tvb8+Y3vzmf+tSnst12261T/RNPPDEHHHBAjjzyyHR1da3z+HrqnnvuyXe/+930798/J5xwQnbYYYc8/fTTueiii3L//fdn+fLl2WOPPXLGGWdk7Nix69Xj/2vv3sNiTv//gT9Dh6HYnEqRxdqp2ITExiKxyFKRnA+d6EOt0xefXae1znJYtLXOaoly2vj44BIf2b1Y1hIfrPPxU1Iih9Co7t8fXc3PaNK8RzPN2OfjulyX5n33er1vejXve+73+75TU1Oxc+dOpKam4v79+3j16hWqVauGJk2aoHPnzhgwYIBOrgE+lIlITloQkdG5cuUKBg0aBBMTE/Ts2RMtW7aEra0tzM3NkZeXh4yMDJw5cwYHDhyAEAJbt26FXC7X6TnFxMRg1apVGm9slJWVhd69eyMnJ0f5momJCbp164bIyEiYm5srX9+zZw+mTp0qeaO4y5cvw9/fH0IIWFhY4MWLFwgNDUVubi6OHDmCLl264NWrV0hOTsbz58+xbds2fPbZZxrHd3R0hImJCd71NvLmcW02u3NycsLixYvRu3dvAEVLTgUEBCAtLQ01a9aEnZ0d7t27hydPnuCTTz5BYmIiqlatqnH8gIAAuLi4YPr06QCA1atXY/ny5WjYsCG++uor1KlTB/fv38fu3buRlZWFZcuWoWfPnpL6UHwhaGJiAplMhl69eqF///5aX/i8bcuWLZgzZw4cHR1Ru3ZtHD9+HHPnzsWMGTPg6uqK7t27Iz8/H0lJSbh69SrmzJkDf39/jeM/fPgQAwcORFpaGho2bAiZTIabN29CCAF/f39kZ2crn0oZMmSI8t9SqhcvXmD9+vX45ZdfkJ6eXuK4nZ0dfH19ERQUpJMPYd6UlJSEnTt3St5jRKFQYOfOncpBVJ8+fdCwYcMS7VJTU5GQkKDVIO3hw4dITEzEs2fP0KlTJ7Rr1w4AsG7dOpVB1JQpU/DJJ59Ijv8uuhxEHThwACkpKcpBlJeXF7p06SI5zqVLl5CVlYVOnTopX/v3v/+NyMhIZGRkKF9r0qQJZs2ahTZt2kjO0b17d3h5eaF///7KQWx527FjBxISEiCTyTBmzBi0a9cOly5dwvTp05W/Rx0cHDB58mR07dpVqxz79u3Dzp07ce7cOZXJyLp166Jz584ICgpS+/OrCdZz2SqylgHd1XN51TKg+3rWRy0Dxl/PgOHUtKHWM8D357Lw/VkaXdT0q1evMHr0aJw8eRIymQzNmjWDjY2Ncgz94JrdoQAAIABJREFU4MEDXLx4Ea9evYKbmxvWrFkDmUymdR/KEhMTg5UrV0oaHxYUFGDs2LFISUlRvlajRg3MmzcPXl5eKm21HUM/f/4cgwYNwvXr1yGEgKmpKWJiYvD48WNMnjwZ1apVw+vXr6FQKNCgQQPs2rULVlZWGsffu3fvO49nZ2dj4cKFGD58uHJsXjwW1tS4ceMwfPhwtG7dWvnad999h4SEhBI3e4aEhGDSpEmS4v/jH/+AqakpVq5cCQA4ffo0AgMD8fr1a9jZ2SnH0JmZmahRowYSExMl/bwWf85gbm6Onj17on///mjVqpWkcyzL2bNnMWTIEBQWFgIAPvroIyQkJCA4OBgZGRlo2rQp8vPzcePGDZiamiIhIUHSBI8QAnPnzkV8fLzKv3mVKlVQvXp1PH78GEII1K5dG8uXL9fqd15xHkOZiNQFTloQkdEJCwvD9evXsWXLlncu2ZORkYEhQ4bg008/RUxMjE7PSepF19y5c7F161bMmjUL3t7eePDgAX744QccOnQI7dq1w+rVq5UTF9pecE2aNAlnzpxBYmIiatasiUmTJuH48eOoX78+Nm3apJx5/9///gdfX1906dIFixcv1jh+QEAArl+/jgkTJmDYsGEljt+5cwfdu3fHypUrtR5AOTo6IjIyUnmhNn36dOzcuRMzZszA4MGDARS9Ua9evRo//PADxo4di4iICI3jt23bFhERERg6dCgAoGPHjqhfvz7i4uJQpcr/X0ExNzcXAQEBsLS0REJCguQ+TJgwAS9fvsSuXbuQmZkJExMTyOVy9O/f/73vIPH394e5uTk2b94MExMTREdHY82aNWjdurXKky35+fno168fzM3NkZiYqHH8GTNmYN++fVi3bp3yYjEzMxPh4eGwt7fH8uXLoVAosGzZMsTGxmo1YM7JycGwYcNw7do1NGzYEK6urrC1tYWZmRkUCgUyMjKQmpqKO3fu4JNPPsHPP/8Ma2trSTmk0GYQlZeXh8GDB+PSpUvKC1NTU1NMmTKlRH1oW9MPHz5E3759kZmZCaBooLFo0SLk5ORg0aJFaNy4MV69eoV79+7B2toaSUlJkpYm++mnn955/MmTJ9i4cSN69eqFpk2bwsTERPmUkqb8/f0xbtw4fPHFFwCKfi7Dw8ORkpJSYhDl7e2NpUuXSoofHByMmjVrIjIyEkDRk2rh4eGoUqUKWrZsiTp16iA9PR3nzp2Dqakptm7dimbNmknKUTyQAoqe6AsICED37t3L7RH4lJQUjB49GlWqVIGZmRkKCwsRFxeHUaNGQQiBNm3aID8/HydPnkReXh5iY2MlDXQUCgW+/vprHD16VOV1MzMzyOVypKWl4dGjR7CwsMD8+fPh7e0t6fxZz2XTdS0Duq9nXdcyoPt61nUtA8Zfz4Bh1bQh1jPA92dN8P1ZM7qs6aVLl2LDhg2YOnUqBg4cqPbfRaFQYNu2bVi0aBGCgoIkf5gthTb1vHPnTkybNg2tW7dGjx49kJGRgcTEROTm5mLmzJkYOHCgsq229RwdHY3o6GiMGzcO9vb2WLp0KapWrQpTU1OEhYXhyy+/REFBAeLj4zFv3jyEh4dLeprj7Rv/3vVBcvFT/1L78PYYeuvWrZg9ezZatmyJsLAw2Nvb4/bt24iKisKVK1ewatUqSZNsHTt2xLBhwxAaGgoAGDhwIG7cuIGoqCi0bdtW2e7QoUOYNGkSunXrJul3hqOjIzp06ICbN28iPT0dJiYmaNKkiXLs/NFHH2kcqzTh4eE4e/Ys1qxZAxsbG0yePBkPHz5ETk4ONm3apHw6JDU1FYGBgejYsSNWrFihcfziGwsDAgLQt29fWFhY4Pfff0dUVBS+/fZb9OzZEykpKVi+fDmysrKQlJQk+UkzQ5uI1AlBRGRk2rRpIzZu3KhR2w0bNog2bdro9oSEENHR0cLR0VHj9t7e3uLbb78t8XpMTIyQy+UiKChI5OXlCSGESEpKkhS7mJeXl1ixYoXy63Pnzgm5XC42bdpUou2cOXNEly5dJMUvLCwUGzZsEK6uriIgIEBcuXJF5fidO3eEXC4XBw8elHzuxeRyudizZ4/ya3d3d/HPf/5TbduQkBDRu3dvSfFdXFzEjh07hBBC5ObmCrlcLpKSktS2XbdunXB1dZUUXwjVPhQUFIgjR46IsLAw0axZM+Ho6ChatGgh/vnPf4o///xTcmwhiv5N4uLilF/funWr1H6sXbtWch86dOggli5dWuL1U6dOCScnJ/HgwQPla0OHDhXDhg2TFF8IIWbNmiVcXV1FcnLyO9slJycLV1dXMWvWLMk5pJBaz0IIsXHjRiGXy8XEiRPF4cOHxZYtW4Snp6dwdHQs8e+nbU0vXLhQuLq6in379olz584JX19f4eXlJfr06SPOnTunbJecnCycnZ3FwoULJcWXy+XC0dFRyOXyUv+8eVybPrxd09HR0UIul4vx48eLa9euiRcvXohLly6J0NBQ4ejoqKxPTXl4eKi8P/Tu3Vt07NhR3L59W6XdhQsXhJubmwgLC9OqD//3f/8nBg0apPx3cHd3F/PmzRNXr16VHO9tQUFBwsvLSzx8+FDk5+eL8ePHi86dO4svv/xSZGdnK9vdvXtXtGvXTowaNUpS/B9//FE4OjqK1atXi8zMTPHs2TNx6NAh0b59exETEyOEEOL8+fNi4MCBolmzZuKvv/6SFJ/1XDZd17IQuq9nXdeyELqvZ13XshDGX89CGFZNG2I9C8H3Z03w/VkzuqxpT09PMW/ePI3azpkzR3h6eko+/+nTp2v8p2/fvpJ/VgcMGCD8/f1FYWGh8rX79+8LPz8/4eTkJBISEpSva1vPvXv3VhlvHjx4UMjlcjF37twSbUeNGiX8/PwkxXd2dhatWrUSMTExYteuXSX+rFmzRsjlcvH9998rX5Pq7Xr29vYWffr0EQUFBSrtXrx4ITw9PUVQUJCk+M2bNxc7d+4UQgihUCiEk5OTWL9+vdq2CxcuFO3atdPq/AsLC0VKSoqIiIhQjp0/++wzMWnSJHHy5ElJMd/WuXNnlc9Kzpw5I+RyudrPmRYuXCg8PDwkxe/du7cIDw8v8XpCQoJwc3NTftbz6NEj0aFDB7WfDZVlyZIlwtnZWcTGxirjvS0vL0/ExsYKZ2dnsWTJEsk5Kho34iYio/P69WuVzYbfxczMDK9fv9Yqj5TNo4XEh9bS09MxcuTIEq+HhYVBJpNhwYIFiIiIQFRUlKS4b8rMzFTZjLx4jduPP/64RNvGjRtLuvseKLorJDAwEF27dsX06dPRt29fBAcHY+zYsTrb2PvJkyfw8PBQe7x9+/aS7n4AAHt7e1y/fh0AYGFhofJ0xdtMTEze+5HKSpUqwdPTE56ensjKysLOnTuxY8cO5SOdxXeQjBgxQuOYr1+/VllOrPjvFhYWJdrKZDLJ9fD48WPUr1+/xOv29vYoLCzE3bt3lXcLduvWDatWrZIUHwAOHz6MESNGlHis+21eXl4YPnw4du3ahe+++05SjrL2YHlTWlqapNhA0d1cHh4eKncR+fj4YPz48Vi7di0qVaqE8ePHS477pmPHjqFv377Ku+omTpyI0NBQhIWFqSw35uXlhe7du+PXX3/F1KlTNY5vaWkJIQQiIiLg7Oxc4nhGRgamTJmCiIgIrR9hftuOHTvQpk0bLF++XPmak5MTYmJi4Ovri127dqFfv34axyve+A8oulvw6tWrmDlzZolH0ps1a4ahQ4diy5YtWp13x44d0bt3b9y8eRPbt29HUlIS4uLi8PPPP8PV1RUBAQHo2bOn2josy9WrVzF06FDUqlULABASEoJ+/frhu+++U1k3vkGDBhg4cCDi4+Mlxd+zZw98fX1V9ujp2rUrFAoFvvnmGwwdOhSfffYZNm3ahD59+iiXzdMU67lsuq5lQP/1XN61DOinnnVZy4Dx1zOg+5o29noG+P6sCb4/a0aXNZ2VlYVPP/1Uo7aOjo6Sny4HgO3bt5e5fPCbpI6t7ty5g9GjR6t8n62tLTZv3ozQ0FB89913MDU1hZ+fn6S4b0pPT8egQYOUXxc/8aNueSJ3d3f8+OOPkuLv2LED06ZNw7p16zBhwgQMGTJE5fjdu3exdOlStG3btlyWe3v9+jVu3LiBmTNnquwTCRSNDX18fCT/rNaoUQOPHj0CULRkV2FhIRwcHNS2dXBwwPPnz7U6dxMTE3Ts2BEdO3bEo0ePlGPnf/3rX9i3bx8cHBwQEBAAPz8/yXsrZWdnq3xWUvx3dctYNWrUCE+ePJEU/86dOyo/R8U8PDzw7NkzXL58GS4uLrC2tka/fv2we/duSfGBomXkhgwZguHDh5faxszMDMOHD8fdu3exb98+nT49pQuctCAio/Ppp58iISEBfn5+79y/IDc3F9u2bdP44uxtBQUFqFWrlkZroqanp6td47c01apVU1lv8E0jRoxAYWEhFi1ahHHjxmm9HqpMJlPJUblyZQBQO6EghFAel6pBgwaIjY1FYmIiIiMjsX//fnz//fflvhGgmZkZKleuXOr/uYWFhXJNSk1169YN27Ztw8iRI2FjYwNPT0/Ex8fD29tbZQLjxYsX2L59u+TH1N+lTp06CAsLQ1hYGI4fP47t27cjOTkZCxculDRpYW9vj7NnzyIgIABA0SOsAPDbb7+VuND97bffJC8xUrduXaSmpirjF0tNTYWJiYnKxmHaTIoARUtPvHnR+C7169eXfNEIFG20JoXUQdT//ve/EoP3atWq4aeffsLEiROxevVqmJqaYuzYsZLivik9PV1lf56mTZsCUD/B6uLigv/85z+S4v/73//GrFmzsGTJEgwfPhxff/21yqD+7t27yrzu7u7adEGFQqFAWloawsLCShyrXLkyevbsiY0bN0qKWbNmTZW1sYGiWlOndu3ayMvLkxT/bY0bN8bUqVMxceJEHDp0CDt27MCJEyeQmpqK+fPno3fv3ujfv7/KRoVlefr0qcqmjsV/V7ccYr169ZCbmyvpnNPS0tR+SOjq6oq8vDxcv34drq6uMDc3h5+fHzZv3iwpPuu5bLquZUC/9ayLWgb0W8+6qGXA+OsZ0H1NG3s9A3x/1gTfnzWjy5quU6cO/vzzT432tjt9+nSp/z/vUqNGDbi4uGg0cbl582Zs2rRJUvy8vDy1++ZUrVoVa9euRXBwMKZPn/7OG9HKUlBQoPL9xWNPdUsS1ahRAwqFQlJ8JycnbN++HevXr8fixYuxd+9ezJ07Vyf7VwFQjs1K+z1uZ2cn+We1VatWOHDgAEJCQmBhYYEmTZrg1KlTaj+3OHXqVLl8LlCzZk2EhoYiNDQUp06dQmJiIg4dOoTIyEj88MMP+O9//yspXu3atXH//n3l18W/n+7cuVOi7e3btyXv12RmZobHjx+XeP3x48clJvYaNGignASSQh8TkRWNkxZEZHSCg4Px9ddf46uvvoK/vz9atmwJGxsb5dq6Dx48wNmzZ7F9+3ZkZGRIvvu+mIODA+rVq6fRxVTxmpyaatCgAc6cOVPqrHhgYCDy8/OxdOlSnD9/XuO4b7K1tVW5I83KygpxcXFqL87T0tKUdw1pKyAgAJ06dcLs2bMRGBiI9u3bl8tmT4mJicoBrbm5udoLCaBowCh1DeXQ0FAcOHAA/v7+GDVqFPr27Ytp06bB29sbvXr1Qu3atZGRkYGkpCRkZWXh22+/fe/+qOPh4QEPDw88fvwYSUlJkr63R48eiI6OhrW1NerWrYu1a9fCwcEBmZmZWLZsGXr06IGCggLs3r0bR48elXyna6dOnZCQkIBGjRqprMc5f/582NjYqFxg37lzR/KkCFB0Ef2f//wH/fv3L7Pt4cOHtbrwrV27NlxcXBAdHV1m2+joaMlPjAgh1A6QKleujGXLlmHChAmIioqCqakpbG1tJcUuVqlSJZWJueKnatRdRFerVg0FBQWS4tetWxcxMTHYt28f5s2bh4MHD2L27Nno0KGDVudbluK+lDYorlOnTqmTu6Xx8PDAnj17EBISAjMzMzRv3hzJycno1q1bibZHjhx5r41p32Rqagpvb294e3sjLS0NiYmJ+OWXXxAfH49t27bh0qVLGseysbHBrVu3lF8X/87766+/4OnpqdL2r7/+Uu5PpKlq1aqpvVs5LS0NJiYmKhPYderUkfwBJOu5bLquZUC/9ayLWgYqpp7Ls5YB469nQPc1bez1DPD9WRN8f9aMLmva29sb69evh5WVFQIDA1GvXr0Sbe7fv48NGzYgKSkJwcHBks/f2dkZt2/f1miiU5t/Hzs7O+VT8m+rWrUq1q1bh6CgIHzzzTfo3Lmz5PhA0YfjWVlZyq+LJ4jUjXEyMjK02l+hcuXKGDVqFLp164bp06fDz88PwcHBGDNmjFbnrM7Nmzfxxx9/ACh6WuvNPr0pOztb0kbiADB69GgMGDAA33zzDaZOnYrJkycjIiIClpaW8PPzU04IxMfH48CBA5L2/NCEu7s73N3d8fTpUyQlJWHHjh2SY7Ro0QIJCQno0aMH6tati5UrV0Imk+HQoUP44osvlHtanD9/Htu2bUOLFi0kxXdxcUF8fDx8fHyU9aBQKLBy5UpUqVJFZQydnZ2tciOgpvQxEVnROGlBREbnyy+/xJw5c7Bo0SKsXLlS7QfjQghUq1YNs2fP1vqxSmdnZ8l3f2nKw8MDGzZswLNnz0q9SAgNDUVhYSGWL1+u1Yf/zs7OyrvuAaBKlSql3n117NgxScthlcbGxgbR0dHKQZXUZbPU+eOPP5QXXABw4MABtXcgnTx5Unlnm6YsLS0RFxeHKVOmYN68ecq7Hh49eqTc9FAIgerVq2PBggXKzQl1xdraWu2yYe8yYsQIHDlyBBs2bABQ9LRDZGQkqlevjsGDB2Pt2rUAivphbW0t+WI4IiICx44dw7Jly7Bs2TLl65UqVcKKFStUfjYPHz6M1q1bS4oPAH379sWyZcsQHh6OkSNHokWLFipLwL1+/Rrnzp3Dxo0bkZKSggkTJkjO4ezsrPHAVJt6s7OzK3WTvOIPRr7++mssX75c7ePlmqhdu7bKgEMmkyE8PFztpm3p6elab1LXq1cveHh4YO7cuQgJCUHv3r3LdcLu9OnTyg9srKysStx5WezBgweSL+D/8Y9/wMfHB6NHj8bUqVMxffp0BAYGAgB8fX1Rp04d5SDq+PHjOpmItLe3x4QJEzBu3DgcPXoU27dvl/T97u7uSExMRJs2bVC3bl0sWbIENWrUwIkTJ9CiRQu0b98eQNHvwh07dkj+0MrNzQ2bN2+Gp6cnXF1dARQNliIjIyGTyVTuFn7w4IHkyWDWc9n0VcuAbutZl7UMVHw9v28tA8Zfz4Dua9rY6xng+7MmKrqeAcN/fwZ0W9Ph4eE4d+6ccrmsunXrwtbWVnnjX0ZGBjIzMyGEgJubm1ZPHzk6OuL3339/5xi3mBBC8ljR1dUVhw8fxjfffKP2eLVq1bB+/XoEBgYiOTlZq98ZcrkcFy9eVH5dtWpVLFiwQG3bixcvarQqQ2kaNWqELVu2YMuWLVi2bBkOHDiA4ODgcrnx76efflIZz544cULth9tXrlzR+Gm6Ys2aNcPChQsxbdo07N27F40bN0bVqlURExODmJgYZTshBNq3b6/csLu8Va9eHcOGDcOwYcMkf29YWBj69++v3KwcKFqu0M7ODj4+PmjcuDEKCwtx69YtFBYWYujQoZLijx49GiNHjkSvXr3Qpk0byGQypKamIisrC0OGDFGZ1D558qRWq4PoYyKyonHSgoiMUv/+/dG9e3ccPnwY586dQ0ZGBl69egULCwvY2trCxcUFXbt21eoOjmJOTk7Yv38/7t27p3bQ8SY7Ozu4ublpHLtPnz5QKBS4e/fuO5ccGj16NCwtLXHhwgWNYxebMmUKnj17Vma77OxseHh4lLhD6H306tUL3bp1Q15eHmQymdZxLl++rFG7nJwcuLq6om3btpJz2NjYIDY2Fn/++SeOHTuGGzduIDc3F+bm5qhXrx5atGiBrl27wtLSUnJsoGiA8OYAo7xZWloiMTERp06dwrNnz9CqVSvl4+qJiYmIjY1FZmYmmjZtihEjRqi9mHmXmjVrYvv27fjpp59w8uRJKBQKNG3aFCNHjiwxuN+/f79WfQgODsa1a9ewd+9eHD58GJUqVYK1tbVyEPX48WMUFhZCCIFevXppdcHl5OSEY8eO4dGjR2WuearNIMrNzQ0HDx7EjBkz1C61VqVKFaxYsQIRERE4evSoVoMRR0dHlSevLCwsSr1z6ezZs5In8d5kbW2NpUuXok+fPpg1axZ69uyJIUOGlMsgKiEhQeXx5JSUFAwcOLBEu4sXL0q+09LBwQExMTGYOHEifH19lQOCPXv2YM+ePcp2Qgj4+/tLHoBIUalSJXTp0gVdunSR9H1hYWE4ePCgclkOIQSmTJkCW1tbBAcHw9LSEoWFhXj58iUqVaokuR7Cw8Nx7NgxDB48GB9//DEsLCxw8+ZN5OXlITw8XGUJwV9//VXt+unvwnoumz5rGdBdPeuylgHDqWdtaxkw/noGdF/Txl7PAN+fNWEo9QwY7vszoNuatrCwQGxsLHbt2oWkpCRcuHABDx48UB6XyWRwc3NDnz590K9fvxL7H2giICAAn376qUZL9g4fPhw+Pj6S4nfp0gVHjx7FiRMn8Pnnn6ttY2lpiY0bN2LEiBEqkw+aGjhwIK5du1Zmu4cPH+Ls2bOSlvUtzZAhQ+Dp6YmZM2dixowZ713P6iZZ1O3jkpOTg9OnT+Orr76SnOOrr75C8+bNsW7dOqSkpKg89SOTyeDi4gI/Pz/4+PhI7o+dnd07lwEvD3K5HJs3b0ZcXByeP3+ODh06KH+X3r9/H7GxsXj9+jWsra0RERFR5r5Ob3N3d8eSJUswZ84c/PrrrwCKJsoDAgJK7GnUt29ftfuOlkUfE5EVzUSUx22wRERERO/pxIkTSEpKwvnz59VORPr4+JQ6QClLVlYWbt26hebNm+vkIviPP/7AkiVLMGnSpHeuJ/369WtMmjQJFy5cwJEjRyTlOH/+PO7cuaNyR5A6Dx8+xKhRoxAQEKD2wwapnj9/jsWLFyvvSFyxYoXWT7CdOnWqxGtVqlQpMQGWk5ODkJAQ9OjRAyEhIZLz5OTkYOvWrUhJScHNmzdLTET6+flpvVnpsGHDMGbMGK1/FjVRvIRFbm4u2rdvr5xU3rp1K9atW6eciIyIiNBqwvn06dOYO3eucmLY2toagYGBKht/AsCZM2dgY2Mj+Q48gPX8LhVVy0D51bO+ark4hi7qWR+1DHwY9QzorqaNvZ4Bvj9LwffnsumrpoGi/4/iWn6fp/qo/CQnJyMtLQ1dunQp88ZJQ/L8+XNlPX8IP0v5+fl4/Pgxateu/V6TSAUFBbh69SoUCgUaN24seSmushQWFqpMRL65dJ9MJkPz5s3fayKyonHSgoiIiIjKdOnSJaSnp6NFixZGuSYqlfT06VMoFAqVjUXp74H1/OFhPf99Fdezi4uLVnuLkWHSd01nZ2dj0aJFGD58eLksG1wROdgHw8hh7PH1kUNX8T+0iUjjm2YhIiIiIr1zdnZG165d+QHnB6R69er8gPNvivX84amoek5PT8fly5ehUCgYv4JyfPTRR6hfv75OP6Di/4P+46uraV32ITc3F3v27MH9+/fLPba+cnwofdi7d6/R98GY4+sjh67if/TRR7C1tf0gJiwAPmlBRERERETl6NatW1i5ciWuXLmCWrVqoV+/fvD19S3RLjk5GQsWLMDhw4cNLoexx2cfDCP+h9KHEydOYPXq1Xj69Cm6dOmCMWPGIC8vD+PGjVOu1V29enXMmDFDq7XRjT0++2AY8Q2lD1ZWVpg5c6bB9SEoKOidx1+9eoUzZ85ALpejVq1aMDExwfr16yWdu65zsA+GkcPY4+sjhz768PLlS5ibm6ss+/To0SNERUXh6NGjyuWtvLy8MGbMmPfa77WicCNuIiIiMhoxMTFYtWoVLl26ZLQ52AfDyME+6CZ+VlYWBg0ahJycHADAzZs3cfr0aRw5cgSRkZEwNzdXtn3x4gXS09Mln5eucxh7fPbBMOJ/KH24fPkyQkNDIYSAhYUFfvzxRygUCuTm5uLatWsYPHgwXr16heTkZEydOhUNGzbEZ5999reJzz4YRnz2oWzHjx+HiYnJOzezNzExwZUrV5R/l0rXOdgHw8hh7PH1kUMffWjVqhUWL16s3E8pOzsbAQEBSEtLQ82aNdGkSRPcu3cPmzZtwm+//YbExESdb3Be7gQRERGRkYiOjhaOjo5GnYN9MIwc7INu4s+ZM0c4OzuLhIQE8ezZM3H9+nURHh4u5HK5GDFihHj16pWybVJSklbnr+scxh6ffTCM+B9KHyZOnCg6d+4sMjMzRX5+vhg3bpxo06aN8PPzE0+ePFG2u3fvnmjdurWYPHny3yo++2AY8dmHsvXv31+0bNlSxMXFqT1++/ZtIZfLxcGDByWft75ysA+GkcPY4+sjhz76IJfLxZ49e5RfT5s2TTg6OootW7YoXyssLBQxMTFCLpeLlStXap2ronBPCyIiIiIiKhcnTpyAr68vAgICYGlpiSZNmmDVqlUYP348fv/9d4wZM+a91+LWdQ5jj88+GEb8D6UP586dg5+fH+rUqYPKlSsjKCgIT58+hY+Pj8pSE/Xr14evry/+/PPPv1V89sEw4rMPZUtISEBERASWLVuGAQMG4OrVqyrHtbnTW9852AfDyGHs8fWRQx99eNuhQ4fg6+uLwYMHq+QJCwvDF198gUOHDpV7Tl3j8lBERERUoZo3b65xW6HlVly6zsE+GEYO9qHi46enp2PkyJElXg8LC4NMJsOCBQsQERGBqKgoybH1lcPY4+sjB/tgGDn00YfMzEzY29srv7azswMAfPzxxyXYKiSvAAAH3UlEQVTaNm7cGImJiX+r+PrIwT4YRg5j74OJiQkCAwPRtWtXTJ8+HX379kVwcDDGjh0LMzMzyedaETnYB8PIYezx9ZFDH314U25uLp48eQIPDw+1x9u3b48VK1aUe15d46QFERERVaiCggLUqlULjRo1KrNtenq6Vmty6zoH+2AYOdiHio9frVo1vHz5Uu2xESNGoLCwEIsWLcK4cePQtWtXSbH1lcPY4+sjB/tgGDn00QeZTKaSo3LlygCg9kMXIYTy+N8lvj5ysA+GkeND6AMANGjQALGxsUhMTERkZCT279+P77//XjlBUh50nYN9MIwcxh5fHzn00Qeg6HdE5cqVS92zwsLCAoWFheWaUx84aUFEREQVysHBAfXq1cOmTZvKbBsTE4OVK1caXA72wTBysA8VH79BgwY4c+YMhg8frvZ4YGAg8vPzsXTpUpw/f15SbH3lMPb4+sjBPhhGDn30wdbWFmlpacqvraysEBcXBycnpxJt09LSUKtWrb9VfH3kYB8MI8eH0Ic3BQQEoFOnTpg9ezYCAwPRvn37cl+yRtc52AfDyGHs8fWRQ1fxExMTcfz4cQCAubk57ty5o7Zdeno6rK2t3zufvnFPCyIiIqpQzs7O+Ouvv4w6B/tgGDnYh4qP7+HhgZSUFDx79qzUNqGhoZgwYQIePnxokDmMPb4+crAPhpFDH31wdnZGamqq8usqVarA3d0dVlZWJdoeO3ZM0hJ0H0J8feRgHwwjx4fQh7fZ2NggOjoaS5YswaVLl7ReOrMic7APhpHD2OPrI4cu4v/xxx/YvXs3du/ejRcvXuDAgQNq2508eRJNmzZ973z6xictiIiIqEI5OTlh//79uHfvHho0aPDOtnZ2dnBzczO4HOyDYeRgHyo+fp8+faBQKHD37l00a9as1HajR4+GpaUlLly4ICm+PnIYe3x95GAfDCOHPvowZcqUd06KFMvOzoaHhwc8PT3/VvH1kYN9MIwcH0IfStOrVy9069YNeXl5kMlk5RJT3znYB8PIYezx9ZGjvOJfvnxZo3Y5OTlwdXVF27Zttc5VUUyELqaniIiIiIiIiIiIiIiIJOLyUEREREREREREREREZBA4aUFERERERERERERERAaBkxZERERERERERERERGQQOGlBREREREREREREREQGgZMWRERERERERERERERkEDhpQURERERERFpbtWoV5HI5Tp48WdGnQkREREQfgCoVfQJERERERERkOORyeZlt4uLi0LZtWz2cDRERERH93XDSgoiIiIiIiEoIDw8v9Zi9vb0ez4SIiIiI/k44aUFEREREREQlREREVPQpEBEREdHfEPe0ICIiIiIionKXnp6OXr16oXnz5khKSlI5lpGRge+//x5eXl5o3rw52rZti7CwMJw/f76CzpaIiIiIDAUnLYiIiIiIiKhcXb58GQMGDMD9+/exZs0a+Pj4KI9dvHgRPj4+iI+PR6NGjTBs2DB4enri9OnTGDx4MFJSUirwzImIiIioonF5KCIiIiIiIiph1apVal83NzfHqFGjSv2+48ePIyIiAjKZDPHx8XB0dFQey8/Px/jx4/HixQvExcXB3d1deezBgwfw9/fHtGnTcOTIEZiZmZVfZ4iIiIjIaHDSgoiIiIiIiEqIiopS+7qVlVWpkxZJSUmYNm0aHBwcsG7dOtjZ2akcP3r0KO7evYugoCCVCQsAsLGxQUhICObPn48TJ06gU6dO5dMRIiIiIjIqnLQgIiIiIiKiEq5cuSKpfVxcHA4fPoxWrVohJiYGNWrUKNEmNTUVQNF+F+qe5Lh9+zYA4MaNG5y0ICIiIvqb4qQFERERERERvbfTp09DCIHPP/9c7YQFAOTk5AAADhw48M5YL168KPfzIyIiIiLjwEkLIiIiIiIiem/z5s3DmjVrEBUVhYKCAowfP75EGysrKwBAdHQ0vLy89H2KRERERGQEKlX0CRAREREREZHxs7KywoYNG+Dm5oaYmBgsXry4RJsWLVoAKHoqg4iIiIhIHU5aEBERERERUbmwtLTEunXr8Pnnn2P9+vWYO3euynEvLy84ODggPj4eKSkpamOcPXsWL1++1MfpEhEREZEB4vJQREREREREVIK6jbKLde3aFU5OTmqPyWQyrF69GhEREfj555+hUCgwe/ZsmJiYwNTUFKtWrUJISAhGjRqFli1bwsnJCRYWFsjIyMB///tf3Lt3D7/99htkMpmuukZEREREBoyTFkRERERERFRCVFRUqcfs7e1LnbQAAHNzc0RFRWHixIlISEiAQqHA/PnzUalSJTg6OiIpKQkbN27E0aNHsWvXLlSqVAl16tSBs7MzIiIiYG1trYsuEREREZERMBFCiIo+CSIiIiIiIiIiIiIiIu5pQUREREREREREREREBoGTFkREREREREREREREZBA4aUFERERERERERERERAaBkxZERERERERERERERGQQOGlBREREREREREREREQGgZMWRERERERERERERERkEDhpQUREREREREREREREBoGTFkREREREREREREREZBA4aUFERERERERERERERAaBkxZERERERERERERERGQQOGlBREREREREREREREQGgZMWRERERERERERERERkEDhpQUREREREREREREREBoGTFkREREREREREREREZBD+H+x3vg16RIAWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, sumDims = ['mu', 'Sym'],\n",
    "                                               plotDims = ('l','m'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10), logFlag = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Example with**\n",
    "- Changing the ordering of plotDims, here with 'm' as the main index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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uQKPyzmlBRERERERERERERJUXgxYkuHwGLYiIiIiIiIiIiIioFBi0IMHlV8KYhampqdJ10dHRqFatWolppKenY+3atQgNDUVGRgaMjY3h4uICDw8PaGvzp0RERERERERERERUVqxpJcGJUAmjFgCsrKwUTsJdpUqVEt+blZUFNzc3PHz4EKNGjYKpqSmioqLg7e2Nf/75B6tWrSqPLBMRERERERERERH9pzBoQYKrjD0tAKBJkyYYOHBgqd67ZcsW3L9/H56enhg/fjwAYOjQoahZsyZ27NiBIUOGoFu3bkJml4iIiIiIiIiIiOg/R7OiM0CfnjwN4V6C5y0vD1lZWWq/z9fXF3p6ehg5cqTMcg8PD+l6IiIiIiIiIiIiIiob9rQgwYkEDDZkZ2ertJ2+vn6J2wQHB8PPzw8ikQi1atWCvb09Zs+eDSMjo2Lf9/LlSyQnJ8Pc3Bx6enoy6xo0aICGDRvi1q1bKuWTiIiIiIiIiIiIiJRj0IIEJ+TwUObm5iptFx8fX+x6MzMzODg4oEWLFnj79i0uXbqEI0eOICIiAgcPHiw2cJGamgrgfYBCkQYNGuDevXsq5ZOIiIiIiIiIiIiIlGPQggSXX9EZUODw4cMy/x84cCA6dOiAxYsXw8fHB7/88ovS9+bm5gIAdHV1Fa7X1dWVbkNEREREREREREREpcegBQlOyJ4W169fFy6xD4waNQo+Pj44d+5csdtJhoTKy8tTuD4vL09u2CgiIiIiIiIiIiIiUh+DFiS4AogFS0uVuSpKS0NDA40aNcL9+/eL3U4yLJRkmKgPpaamKh06ioiIiIiIiIiIiIhUp1nRGaBPT76GcK/yVFhYiKSkpBIn4jYyMkKjRo0QFxcnNwxUamoqnj59ig4dOpRnVomIiIiIiIiIiIj+Exi0IMHlQyzYSwjp6ekKl2/evBkZGRmwtbWVLsvMzERCQgLS0tJkth0wYABycnKwb98+meXbtm0D8H6ODCIiIiIiIiIiIiIqGw4PRYITCTg8lBA2bNiAGzduoEuXLmjUqBFyc3Nx8eJFXLhwASYmJvjmm2+k254+fRpeXl6YPn06ZsyYIV0+adIkBAcHY9WqVUhOToapqSmuXbuGY8eOwcnJCd26dauIQyMiIiIiIiIiIiL6pDBoQYITqoeEULp06YKEhAT4+voiPT0dmpqaaNq0Kb7++mtMnDgR1atXLzGN6tWrY+/evVi7di2CgoKwf/9+GBsbY86cOfDw8PgXjoKIiIiIiIiIiIjo06chFosrVw0zffSmNx8uWFo+jw4IlhYRERERERERERERVW7saUGCq2zDQxERERERERERERHRx4FBCxJcPgorOgtERERERERERERE9BFi0IIEV9nmtCAiIiIiIiIiIiKijwODFiS4fHHl6mnx6NEj+Pv74+LFi0hMTMTbt2/RqFEjdO/eHZMnT0a9evVKTOPo0aPw8vJSuM7BwQF//PGH0NkmIiIiIiIiIiIi+s/RrOgM0KdHBLFgLyEcPnwYf//9N+rVq4dJkybBy8sLHTt2xN69e+Hs7IyEhASV05o6dSpWrlwp8xozZowg+SQiIvoYmZqawt3dvaKz8Z909OhRmJqa4ujRoxWdFRKYp6cnTE1NkZSUVNFZUYmtrS1sbW0rOhsq+zfKLXX3ceXKFZiammLdunXlmCsqyt3dHaamphWdDfoIfWxl9Kfk3r17MDU1xeLFiys6K5+cgQMHwsrKqqKzQSTFnhYkuMo2p4WDgwMmTZqEmjVrSpcNHz4cnTp1ws8//4w//vgDv//+u0ppde/eHV26dCmvrBJRGT169AinTp1CeHg4Hj9+jFevXqFGjRro2LEjxo4di65du5Y67fj4eOzcuRMxMTFITU1FVlYWDA0N0aJFC4waNQp9+vSBhoaGgEcjrLCwMGzduhWxsbEoLCxEq1atMGrUKAwePFjlNPLz87F3717ExcUhNjYWCQkJyM/Px5IlSzB06FC185SUlAQ7Ozul6/v374/ffvtN4bpjx45hz549SEhIgKamJtq2bQsPDw/07t1b5f2/efMGBw8exN27d3H37l08evQIIpEI27ZtQ/fu3dU+nqIKCwtha2uLp0+f4sSJE2jVqpXSbXNzc9GjRw/k5ubi3LlzMDQ0LNU+c3Jy0LNnT2RmZsLJyQne3t4Kt8vOzkZISAjOnTsnPZ81NDTQokULODk5wc3NDbq6uqXKw3+Ju7s7IiMjER8fX9FZKTNPT08cO3YMoaGhaNy4scrvk/REXb58OYYMGVKOOaSK9imd76S6+/fvY926dYiMjERWVhYaNWoER0dHTJ48GXp6emqllZqait9//x0XLlxARkYG6tWrBzs7O0yfPl3mOU1CJBLhxIkT2L9/Px4/foysrCw0aNAAFhYW8PDwwGeffSbUYRLJWbduHXx8fLBz585K//wvuYarytraGrt27SrHHH26EhMT4efnJ30WkgStwsPDUbduXaXve/v2LTZu3IigoCA8ffoUNWrUQLdu3fDtt9+iWbNmKu9/xYoV2Lp1q9L1n332GQICAlQ/IKJKjkELElxlGx7KzMxM4XJHR0f8/PPPaj98vX37Fjo6OqzQIaqEfv/9dwQGBqJVq1b48ssvUbNmTTx8+BBnzpzBmTNn8OOPP5a6d1RMTAxCQkLQqVMnmJubw8DAAC9evEBYWBhmzJiBAQMGYNWqVQIfkTB2796N//3vf6hVqxYGDBgAHR0dBAcHw9PTE/fu3cP8+fNVSicnJwfLli0DABgZGcHIyAhPnz4tc/5at24Ne3t7ueXKKiQkN+wNGjTA0KFDkZ+fj8DAQEydOhULFiyAm5ubSvtNTk6WfmcNGjRA7dq18fLly9IfSBGamppwcXGBj48PDh06pHSIQQA4efIkMjMz4eDgUOqABQAEBgYiMzMTGhoaOHXqFNLT01G7dm257aKiovD999+jVq1a6NKlC+zt7fH69WuEhYVhxYoVOHXqFHbs2IEqVaqovN+qVauWOt9ERFT53Lx5E2PHjkVBQQEcHBzQoEEDXL58GevXr0dERAR27Nih8vPQkydPMGLECLx69Qp2dnYwMTHBrVu3sHPnTly4cAH79u2Tu17NnTsXJ0+eRIMGDdCnTx9Uq1YN9+7dw7Fjx+Dv74+//voL3bp1K9MxrlixAjk5OWVKg/6b5syZg0mTJqF+/foVnRXY29vD2NhYZllkZCQiIyNhbW0Na2trmXUfbkuqi46Oxh9//AENDQ00a9YM1apVw9u3b4t9T3Z2Ntzd3RETEwNzc3M4ODggMTERgYGBOHfuHHbv3o3WrVurlY8vvvgC5ubmcsvr1KmjVjpElR2DFiQ4kYA9LbKzs1XaTl9fX+20nz17BgBqVRBNmzYNWVlZAICWLVvCzc0NI0eOrNStq4n+S3r27IlJkyahbdu2MssjIyPh4eGBlStXol+/firNZfMhR0dHhS2Js7KyMGzYMPj5+cHd3R0dOnQodf7LQ1JSElasWIFatWrhyJEj0lbU33zzDVxdXbF161b07dtX4Y3vh/T09LB582a0adMG9erVk7ZCK6s2bdpgxowZKm0bHR2NrVu3omnTpjh8+LC0deaECRPg4uKCFStWoFevXiq1Fm/UqBG2b9+ONm3aoFatWmq3VCuJq6srNmzYAF9fX8ydO1dp5c7BgwcBvO8FWBYHDx6EpqYmxo8fjy1btuD48eMYP3683HZ169bFqlWr0K9fP5k8ZWVlYcyYMbh+/Tr27NkDDw8PlfbbsmXLMuWbiIgqF5FIBC8vL+Tk5ODPP/+U9oosLCzErFmzEBwcjO3bt2Py5Mkqpbdo0SK8evUKP/30k8yQWcuXL8f27dvx22+/yQz1cuvWLZw8eRKfffYZDh06JBMYP3LkCH744Qds2LChzEGLRo0alen99N9Vr169Uj1PlAd7e3u5xj+SHlLW1tYq32NTySwtLbF37160bt0a1apVw5AhQxATE1PsezZt2oSYmBgMHjwYy5cvl9Yd+fv747vvvsOPP/6II0eOqJWPL774AhMmTCj1cRB9LDinBQmuQFwo2Mvc3FylV2msXbsWAODi4lLitnp6enB0dISnpyc2btyIn3/+GVpaWli0aBEWLlxYqv0TUfGSkpJgamoKT09PJCUlYfbs2ejSpQvMzMwwZMgQhIWFyb1nyJAhcgELANJWRvn5+bh+/Xqp8qOs1Xn16tXRo0cPAO+HpyoqMTERCxYsQJ8+fdChQwdYW1vD2dkZP//8M9LT02W2zczMxNKlS2FjYwMzMzP069cP27ZtQ2JiovRzKI0jR44gLy8Po0ePlqnIr1mzJqZMmQIA2L9/v0pp6erq4ssvv6zQhzRJXqdOnSoznETjxo0xatQo5OXlqTy+f82aNdGtWzfUqlVLrTxkZGTA29sbX331FTp06ABLS0uMHTsW4eHhMts1bNgQPXv2RHp6OkJCQhSmlZCQgOjoaDRu3LhMQ1Ldu3cPN27cQLdu3TBp0iTo6OhIgyEfatOmDQYMGCAXRKlevbo0yBEZGanyvhWN275u3TqYmpriypUrCAoKgqurKzp27Ahra2vMnj1b2nCgKMnY4nl5efjtt99ga2uL9u3bw97eHj4+PsjLy1M5T8D73+O8efPQs2dPtG/fHj169MC8efPkfqdA8WNTfzjOvKRsknxGpqam0ldZxsgvWuYlJCRg2rRpsLa2RqdOnTBy5Ei586skd+7cwYwZM9CtWze0b98evXv3xi+//ILnz5/LbGdqaioN1tnZ2UmPpaT5Cdzd3aU9iLy8vGQ+h6SkJKxevRqmpqY4fvy40vyZmppi6tSp0mWS7yExMRHbtm1Dv379YGZmBhsbGyxbtkzacORDqampWLx4Mezs7NC+fXt06dIFU6dOxa1bt1T+vMpbSEgIvvvuOzg4OEh77A0ZMgQ7d+5EYaHyBj9isVjlzyIuLg5z5syR/na6du2KwYMHY+nSpcjPzy9VvtU933NycqTB4/bt26NPnz7YvHkzxGKxwnQ9PT3x8OFDzJo1C926dUPr1q1x5coV6XaqlrcAkJeXh507d2Lw4MHo3LkzOnbsCFtbW3z99de4dOmSwuNLS0vDggUL0KNHD7Rv3x6Ojo5KK48KCwuxb98+uLi4wNzcHJ06dYKLiwv27t1b7Hf4oZcvX+KHH35A9+7d0aFDBwwcOFDQgLkQIiMjkZCQgM6dO8sM46ipqYnvv/8ewPvr8YffqyKJiYkIDw+HsbExRo8eLbNuxowZ0NfXh5+fn0xjNUlZ3LVrV7mefJL8fHgfVRqK5rQoWubfvXsXkydPhpWVFTp27Ag3NzdER0crTEskEmHfvn0YMWIELC0t0aFDB/Tp0wc//vijwuuOulJTU7FkyRL07dsXZmZmsLa2hqurK9avXy+znWR+maysLCxfvhy2trZo166dzFwpmZmZ8Pb2hoODA8zMzNC5c2dMmDBB4e9ELBbj2LFjGDFiBLp27QozMzN8+eWXmDBhAgIDA2W2FaIMUmd/ks9FnfJfle/J1tZW2ihnzJgxMuWeRHH3DYGBgRg9erQ0fWdnZ2zatEnhfYzk+1K17BTS7t27YWpqiqCgIISEhGDUqFGwsLCQ1q+UNHfEkCFDlNbFhIaGwsPDA9bW1mjfvj369u2LNWvWlNgroayePn2KBQsWSD/H7t27Y+bMmYiLi1O4fUZGBn755Rf06NEDZmZmcHR0xJ49e5Qee+PGjWFpaYlq1aqplB+RSISDBw9CS0sLc+fOlWns6uzsjLZt2+LOnTvlcr9SWFiI/fv3Y+rUqbC1tYWZmRmsrKzg7u6O4OBgldMRiUTYv38/XF1d0aVLF3To0AG9evXC5MmTERoaKrd9YmIifvrpJ5ly4Ntvv1X6HRAVhz0tSHD5YlFFZ6FEGzduxKlTp2Bvb6/SeO79+/dH//79ZZYNHz4cbm5uOHDgAFxcXNCxY8fyyi7Rf1pycjKGDh2KJk2aYODAgXj9+jUCAwMxbdo0bNu2TeV5KrS131/ytLS0BM1fTk4OLl++DAD4/PPPpcufP38OV1dXZGVlwcbGBn379sW7d++QlJQEPz8/uLm5SYdCePfuHcaOHYuYmBi0bdsWzs7OyMzMxMaNG8AZUnoAACAASURBVBEVFVWm/Eny1rNnT7l1NjY2MttUlOfPn2P//v3IyMhArVq10KlTJ6XdpEs6nj///BOXL1/Gt99+Wy55TU5Ohru7O5KTk2FlZYWePXsiJycHYWFhmDhxIhYvXoxhw4ZJtx86dCjOnj2LQ4cOyV1HAODQoUPS7crSa08SoBg8eDBq166N3r1749SpU4iKilJrQj2hfyd79+7FmTNnYGtri86dO+PWrVsIDAxEXFwcfH19FfY+mTlzJm7fvo1+/fpBW1sboaGhWLduHe7cuYMNGzao9DndunUL48ePx9u3b2Fra4tWrVrhwYMH8Pf3R2hoKLZv3650+MiS1KhRA9OnT8exY8eQnJyM6dOnS9cJMeRCUlISRowYgc8++wzDhw/HixcvEBgYiEmTJsHb21vhefQhybB1wPu5vRo1aoSYmBjs27cPoaGh2LdvnzSIOX36dISEhCAuLg5jxoxBjRo1AAAGBgbF7mPw4MEwMDBAaGgo7Ozs0KZNG+m6GjVqYMSIEdiyZQv279+PQYMGyb3/wIEDABT3MFq2bBmioqLw1VdfwcDAAOHh4dixYweioqKwb98+mSByTEwMPDw88Pr1a/To0QN9+/aVBgpHjRqF9evX48svvyzxMytvq1evhqamJjp06ID69esjMzMTly9fxtKlS3H79m2lwwuq+lnExcVh2LBh0NDQgK2tLRo3boysrCw8efIE+/btw6xZs6Cjo6N2vtU53/Pz8+Hh4YHnz5/DxsYGWlpaCAkJgbe3N/Ly8mTeK/HkyRMMGzYMzZs3h7OzM3Jzc1G9enUA6pe3Xl5eCAgIwOeff46BAwdCT08Pz58/x7Vr13DhwgW5wPCbN28wcuRI6OrqwsHBAe/evUNwcDB++OEHaGpqyj0jfP/99wgICEDDhg3h6uoKDQ0NhISEYNGiRbh27ZrSeYSKSk9Px4gRI5CYmAhLS0tYWlrixYsXWLhwIb744ouSv5B/SXHX2iZNmqB58+Z49OgREhMT0bRpU5XS6tGjBzQ1ZdtMVq9eHRYWFggPD8fNmzelPSck80BduXIFubm5MvNnnD17FgDK3MuiJHfu3MHff/+NTp06YejQoUhJScGpU6cwbtw4HD9+HCYmJtJt8/LyMGXKFFy6dAkNGzaEk5MTqlevjuTkZISEhMDS0hLNmzcvdV5u376NiRMnIiMjA507d0afPn2Qm5uL+/fvw8fHB998843M9nl5eRgzZgxev36NL774AtWrV5eW+ZLz/v79+zAzM8PYsWORnp6OkydPwsPDA7/88gtGjBghTeu3337Dpk2b0LhxY2k59OLFC9y+fRtBQUHSa5JQZZCq+wPUL/9V/Z7GjBmD0NBQREZGYvDgwWpd29esWYNNmzahdu3acHJygr6+Pi5cuIA1a9YgPDwcW7dulfscSlN2Cun48eM4f/48evXqhZEjR+LFixdlSm/lypXYsmULDA0NYWtri9q1ayMmJgabNm1CeHg49uzZUy7DiiYkJMDNzQ1paWno0aMHBgwYgKSkJAQHB+Ps2bPYuHGjTLmRlZUFNzc3/PPPPzAzM8OgQYOQkZGBNWvWlGkexKLu3buHtLQ0tGvXTuGcFzY2NoiNjcXly5cF762fn5+PhQsXomPHjujSpQuMjIzw6tUrnD17Ft9++y3mz5+vUq/q//3vf9i3bx+aN28uPaefP3+OGzdu4MyZMzKB7aioKEyZMgXZ2dn48ssv4eDggFevXuH06dM4d+4ctmzZwom+SS0MWpDgRALOaVHaFtHF2bFjB3777TdYW1tj9erVpa4k0tbWxtSpUzFlyhScO3eOQQuichIZGYkZM2bI3LA7OTlh4sSJ2LJli0o3lcnJyYiIiEDVqlXRuXPnMuXn8ePH8PPzg0gkkt74PX/+HFOmTJGpaA8ODkZGRgZ++OEHjB07ViaN7OxsmQf3v//+GzExMXB0dIS3t7e0XPr666/VmihbkYcPHwKAwoflevXqQV9fH6mpqcjJyamweQkuXryIixcvyiyztrbGihUrZIZuyM7OxrNnz6Cvr6+wt4dkIjshWjQq4+npiZSUFKxZswaOjo7S5W/evIG7uzuWLFkCW1tbGBkZAQB69+6NevXqISIiAomJiWjSpIn0PXl5efD19YW2trZKvf6UeffuHfz8/GBgYIA+ffoAeF+hfOrUKRw4cECthwNJC2NFFVWlceHCBRw+fFimdeLcuXMREBCAkJAQhRXwDx48wIkTJ6Q9aWbPno0xY8YgLCwMvr6+CivAixKLxZg/fz6ysrKwatUqDBgwQLouMDAQs2fPxvfff4/AwEC5CjRV1KhRAzNmzEBkZCSSk5MFH3bh6tWr8PDwkJlrZvTo0RgxYgQWLlwIGxsbaaWuIm/fvoWnpydEIhF27dol8/1v3rwZ3t7e+Pnnn6UTOc6YMQPJycmIi4vD2LFjVZ6IWzJcXmhoKOzt7eWGz6tRowZsbGxw9uxZxMfHy5wDb9++lVb+SoKnRUVHR+P48ePSiqK5c+di5syZOHXqFP7++29pBV1BQQFmzZqF7Oxs7Ny5U2bc7mfPnsHV1RU//vgjzpw5o9LY+9u3b0dmZqZKxw+877WkaD4eRTZv3ixXuVtYWAgvLy8cP34cbm5uCu8lVf0sjh8/jnfv3mH9+vVyeXr9+nWpy3d1zvfnz5+jdevW2LZtm7SSefr06XBwcMD27dsxZcoUucq6a9euYcqUKZgzZ45ceuqUt5mZmThx4gTatWuHQ4cOyQVeFbXKj4uLg6urKxYvXizdfty4cRgwYAD++usvmetvQEAAAgIC0LZtW+zevVvaynbWrFlwc3NDQEAAevXqBWdn52I/zzVr1iAxMRFjx47FDz/8IF0u+Y2r482bN9ixY4da77G3t5cJMCpT3L2DZPmjR4/w8OHDEoMWDx48KDatZs2aITw8HA8fPpRWKH7++ecYN24ctm/fjq+++gq9evVCtWrVcP/+fVy4cAGOjo6YNWtWicdRFmfPnsXy5ctlyrb9+/dj4cKF2LlzJ3755Rfpch8fH1y6dAm9e/fGH3/8IVPe5OXlKe0lpoq8vDzMnDkTGRkZWL16tdw5pmhusRcvXqBVq1bYvXu33DDKq1evxv379zF8+HAsWrRIes85adIkuLi4YMmSJejRo4f0WnDgwAHUr18fAQEBcuVIWlqa9G+hyiBV91ea8l/V72ncuHHIzMyUBi1UnYj7+vXr2LRpExo2bIhDhw5JK6nnzp2L6dOnIywsDFu2bJHpYQiUruwU0vnz57F9+3a5uS9KQ3KMXbt2xfr162XuVyRz7G3atKlcfr8//fQT0tLS5J69Ll26BA8PD3z//fcy58OGDRvwzz//wNXVFUuXLpVuP3ny5DI/f0mUVJaW9tnl4sWLCodSHzZsmHSeFR0dHYSEhMg8ewDvG9yNGTMGf/zxB1xcXGR6rn+ooKAAhw8fRvPmzeHv7y93L1X0N5mTk4NZs2ahsLAQBw8elGkclJiYCFdXV3h5eSEoKEjwRoT06eLwUCS4fBQK9tLX11fppapt27Zh2bJl6NatGzZv3lzmCjrJA2TRwpqIhGVsbIyvv/5aZlnPnj3RqFEjlbrS5uXl4bvvvpO2VCruxkwVjx8/ho+PDzZs2ICDBw8iPT0d8+bNw+zZsxVuX7R1oIS+vr7M8uPHj0NTUxNz5syRCaQ2bNhQLuChLskDmLJW05KHCXUq6oRStWpVTJs2DUePHsXVq1dx9epV7N69G126dEFkZCTGjRsnc0MuyaOyY5Esf/PmTbnkNy4uDpGRkejbt69MBRrw/xV7kpa6ElpaWnBxcYFYLMbhw4dl3hMSEoK0tDT07t1bYesrVZ08eRKvX79G//79peeVjY0NjIyMEBwcjNevX6uUzu7du3HhwgW0adOmTEGUohQNvTF06FAA71uOKvL111/L/E6rVKkirdBUZczf6OhoPHjwAObm5jIBC+B9z0lLS0s8fPgQ165dU+tY/i0GBgZyrWbNzMzg7OyMN2/e4PTp08W+PzQ0FBkZGejfv79cwMrDwwPGxsa4ePEiUlJSBM/7h0aOHAkAckOV+fv7Izs7G66urgofXMeMGSPTslVTUxPz5s2DpqamzDlw9uxZPHnyBG5ubnKVLfXr18fEiRPx4sULREREqJTfnTt3wsfHR+WXsmHfFFFUsaupqYkxY8YAeB/gU0TVz0JC0TWnZs2apQrQlcZPP/0kkwdDQ0PY2dkhMzNTWnlTlJGRkcJWxOqWtxoaGhCLxdDV1VV4rB9O8gy8vwZ5eXnJnIOtWrWChYUFEhISZCqaJZ/13LlzZYYF0dfXlw6XJOk5p0x+fj78/f1RrVo1ueCP5Deujjdv3qh1vvr4+ODu3bsqpS3kvUNJaUmWf5iWl5cXFi1ahLS0NOzduxd//fUXwsLCYGpqikGDBpVqTkN1WFhYyAVjXVxcoK2tLXP/KRKJsHfvXujp6WHRokVylXq6urplmhw3LCwMycnJsLW1VXiONGzYUOH7PD095T6j/Px8+Pn5QV9fX+6es3nz5nB3d0d+fr7csH7a2toKy2pFxyVEGaTK/tQt/8v7ewL+v5z4+uuvZe7rtLW1MX/+fGhqaiotJ9QtO4Xk6OgoSMACeH8dBYClS5fKNbBwc3NDs2bN4O/vL8i+inrw4AGio6PRokULuaELu3fvDjs7O7x48ULaUwt4//ylo6MjF0Bp2rQpRo0aJUi+JOWassYmysq/kly8eFFhGV90CFBNTU25gAXw/to3fPhw5OTkqNyjX1dXt8TfZFBQEF68eIHJkyfL9WZu0qQJ3N3d8eTJE9y8eVPVwyRiTwsSXkElHR7qr7/+wurVq9GzZ0+sX79e6fj06nj8+DEASFvUEpHwWrdurfAmqUGDBrhx40ax7xWJRPj+++8RHR2N/v37CzJhmY2NDeLj45Gfn4+nT5/Cz88Pv/32G65evSrTasvW1hZr1qzB4sWLER4ejh49esDCwgKtWrWSeUiUdJ1v2LChwhbOlpaWZc5zcSRj5ZZlaCJlrly5Ijc3grGxsbQSwNDQEDNnzpRZ37lzZ2zduhWjRo3CzZs3cejQIbUDN+VxLMD/9/7LysqSGRtaQhLAlrQqlRg6dCg2bdqEo0eP4ttvv5Wez5IgRtHhTUpDUiFctHJFW1sbzs7O2LZtG3x9faUVo8qcOnUKy5YtQ926dbFu3TrBWvQpGoJJUsGiLJii6MHZysoK2traKlW4xcbGAoDSlpFdu3bFtWvXEBsbW+aeV+Whbdu2Ch9ura2tcezYMcTGxhbbAlBy/Ip6oWlra6Nz585ITk5GbGxsuU9Ca2Njg8aNG8PX1xffffedtLGIZHxnSQDrQ4rOgSZNmqBhw4ZITk7GmzdvUKNGDek1ICUlReFvUtJyMSEhQaUhos6cOaPqoaktPT0dW7Zswblz55CUlCTXQvLDuUYkVP0s+vfvj507d+Kbb76Bg4MDunfvDgsLixJbwQvJwMBA2mq0qAYNGgBQHFBu3bq1wl4w6pa31atXR+/evREWFoaBAweib9++0nkIlDVSatasmcLfmiS/mZmZ0vWxsbHQ1NRU+H107twZWlpaJZZPDx48QE5ODqysrBRW4Et+46pq3Lgx4uPjVd6+PAhxvVV0HyIWi7F06VLs3bsXs2bNwoABA2BgYIC7d+9i+fLlmDRpEn7++We5OTKE1L59e7llOjo6MDQ0lDmXHzx4gMzMTHTs2FHawllIknJOUa80ZapUqSLXYAD4/3PQwsJC4XxeXbt2xYYNG2TOZWdnZ+zatQuOjo7o168fOnfuDHNzc7lzWNUy6O7du3IBXwMDA4wbN06t/alb/pf39wQUf/1t0aIFGjRogKSkJGm5LVGaslNIQg5LdOPGDejr6xdbliUlJSEvL0+lHpCqknz21tbWCgNkXbt2RUhICGJjY9G3b188f/4cL1++RMuWLRU2HCrv5y+J0j6HzZs3T6Xn2sePH+Ovv/5CZGQkUlNT8e7dO5n1iuaYK0pbWxv9+/eHr68vnJyc0K9fP1hZWaFTp05y83pIrtsPHz5U+Ju8d+8egPe/SQsLixLzTgQwaEHloKCw8gUtNm3ahDVr1ijsClpUTk4OUlJSYGBgIDP0SHp6ulwLrZycHOkEXSVNVklEpVf0pr4obW3tYie+lAQsgoKC8NVXX2HVqlWCVmbr6OigadOmmD59OnR1deHt7Y1du3ZJbyCNjY1x+PBhrFu3DhcuXMCpU6cAvK+w9fDwkFYiS1ogGhoaKtyPsuWqql69OtLT05GZmamwpalkQrzihpsprcjISGk5KWFtbS3XcvFD2traGDp0KG7evImoqChp0KKk1kgl9cQoq4yMDACKh7Mq6sPKSGNjY3Tv3h3h4eE4d+4cbG1tkZSUhEuXLsHY2Fg6kXtpJCQk4Nq1azAxMUGnTp1k1g0ZMgTbtm3DoUOHig1ahISEYM6cOahTpw527typsFVWaSn6LiRBG2W/X0UNAbS0tFCrVi28evWqxH1KzgNlE8ZLHk4roneRKpQ1hJAsL2mYEclxKeu9828ev6amJoYPHw5vb28EBgbCxcUFd+7cQUxMDOzt7ZVWHCkr94yMjJCcnIzMzEzUqFFD+psMCgoqNh+KhlD4N7158waurq5ISkqSTrxcs2ZNaGtr482bN9i5c6fSieZV/Sw6dOiAPXv2YOPGjQgODoavry+A9xVl06dPh5OTU7kdn0Rx12vg/XX5Q8rO99KUt2vXrsVff/2FgIAAaYVJlSpV4ODggPnz58vtS538ZmZmombNmgqfIbS1tVG7du0SyyfJb66477SyKKknhaQcUuXeoTRpHTt2DLt27cK4ceMwefJk6XIrKyts3LgR9vb2WL16NQYNGqTyhLjqUvX+U1KhXF4V4ZLPTZ30DQ0NFd7zqnp9KFpJ7uXlhSZNmuDIkSPYvHkzNm/eDG1tbdjY2MDT01Na2a5qGXT37l25e0NjY2Np0ELV/alb/pf39wSo9vmmpKRIy22J0pSdQhKq7MnLy5N+3h9+xx96+/atoEELde/9SiqPy/r8JSG5D1Z276ZOWaque/fuYcSIEcjNzUWXLl2kw4tqaWnhwYMHCAwMVHrvUdSSJUvQqlUrHD9+HH/++SeA98/BdnZ28PT0lDZGkvwmJb99ZSr6now+LgxakOBEEG5OCyHs2bMHa9asgZGREfr06YOTJ0/KrK9WrZp03M1bt25hzJgxGDx4MH799VfpNs7OzrCysoKpqSmMjIyQkpKC48ePIyUlBRMmTEDbtm3/1WMiouIVFBRg7ty5CAoKgpOTE1auXFmuY2fa2NjA29sbkZGRMq1eWrZsibVr16KgoABxcXG4dOkSdu/ejaVLl6Jq1aoYOnSo9CZVWWWHKpW0xWnRogXS09Px6NEjuaDF8+fPkZ2djQYNGpTLfBYzZswo9Xj/krwWvbHV19dH/fr18ezZMzx//lzuwUTS+60sk10WR/Lg8eOPP5bYc+FDw4cPR3h4OA4ePAhbW1scPnwYYrEYLi4uZRq2RTKZ8YMHDxS2qgTeP7RER0crbNV08uRJfPfddzAyMsKOHTvK7bNTx8uXL+V6AIhEImRkZKj0UCf5npRNJClZXjQtSeWOooqBfzu48fLly2KXl/QZqHr85RXc+5CrqyvWrVuHAwcOwMXFpdgJuCVevXolM8mthOQzkORd8u+ff/4pMxFkaZXXnBaHDh1CUlISpk+fLlcmXr9+XTqchiKqfhYAYG5ujk2bNiEvLw937tzBhQsXsHv3bsydOxd16tSRm4i6MlDWmKA05a2enp70uvP06VNcvXoVx44dg5+fH5KTk7F3795S59PAwACvX79Gfn6+XE+0goICpKenq/zbVHZdV/bbV6Y857Ro0aIFAOXjrEuWS7YrjuT8VZaW5NpdNC3JEC6KeszVrVsXJiYmiI2NxcOHDxX2iPg3SSqcS2qxXFqS80ad9Ev6XSk71xRdH7S0tDB27FiMHTsWr169wrVr13DixAkEBQXh/v37OHHihLTyWZUyaMiQIcU2XlF1f+qW/+X9PQGyn6+iXm7/9vVXVcrOF8n9aUFBgcL1H14vdXV1oaurC0NDQ5lhmP4N6t77lffzl0RJZWl5Prts3rwZb9++VTjPzN69exEYGKhSOrq6upg8eTImT56M58+fIyoqCn5+fggKCsLDhw/h6+sLDQ0N6Xewe/fuStmTmT5ODFqQ4PIrWU8LyZjZL1++lJnwTsLY2LjEB04nJydERkYiIiICWVlZqFatGtq1awdPT084ODiUS76JqHTy8vIwa9YshIaGYtCgQVi+fHm5j+UteQBSFhjR1tZG+/bt0b59e1hYWGD06NEIDQ2VBi2aNGmC5ORkJCUlyQ0RVdZx97t27Yro6GhcuHAB5ubmMuvOnz8v3aaykYx3+mGr/65du8LX1xcXLlyQm3ehvI9HMkluVFSU2kELW1tb1K1bF+fPn8fTp09x7NgxaGlpwdXVtdT5kUzkrampicGDByt86ExNTUV4eDgOHTokF7Tw9/fH/PnzUb9+fcF7WJRFZGSk3GTbUVFRKCgoUKmyTbLNh0OTFU0fANq1ayddJplD4+nTp3JDNCibe0NSrohEIkGDorGxscjKypKrAJXku6SGEkWP/8PhlwoKCqRlStF0JMdSXO81RYp+BsrUqVMHDg4O8Pf3x7Vr1xAQEFBiD6PIyEi5B97ExEQ8ffoUxsbG0sqnor9JIYIWO3fuRHJyssrbDx48WKWghaRSom/fvnLrrl69Wux7Vf0sitLV1YWFhQUsLCzQrFkzzJ8/H6GhoWUKWpTX+a5MWcpb4H2vxgEDBsDJyQlfffUVrl27prDntKratGmDiIgIREVFSSeLlrh69SpEIlGJv00TExNUrVoVd+/eRWZmplzFpbIySxnJnBbqMDY2Vqkc7dq1KzZu3IgLFy5gypQpMusSExPx6NEjGBsbq3TdkAQewsPDUVhYKHNPlpWVhejoaOjp6clMRC9p/ats3kDJ8vKcnFhVJiYmqFGjBuLj4/Hs2TPBW/JLelGeP39eOk9QabVo0UJ6Dr5+/VpunrcrV64AUH6dMTQ0RN++fdG3b1+MHTsWly9fxr179+QCR0KVQcXtT93yX93vqTTXxTZt2iAmJgZXrlyRC1o8fvwYqampaNy4sdKeFZWNJJ+pqaly69LS0pCcnCw35HanTp0QGRmp8JmmPEnKtatXr0IsFsvdE0vObcm9X/369WFkZIQnT57gxYsXcr1jhJr37PPPP0edOnUQFxencD/l+ezy5MkTaGtrKxwVpKR7D2Xq1auH/v37o3///hgyZAhiYmKQmJiIpk2bolOnTjh8+DCioqIYtCDBcCJuElyBWCTYSwi//vor4uPjlb6Kjl/cpUsXxMfHy/SyAN5PZHb06FFcuXIFMTExiIyMxLZt2xiwIKpkJJNth4aGwtXVVdCARVRUFPLz8+WWp6WlYfXq1QCAXr16SZffunVLYUs2ybKik+0NGjQIhYWFWLNmjXRsU+B9Baq6rSg/NGTIEOjq6mLPnj1ISkqSLn/9+jU2bdoEABgxYoTMezIzM5GQkKB0jHWh3Lx5U2G35IiICGzfvh0A5CZSluR148aNMnMiJCUlYe/evdDV1ZVrwZeWloaEhASllR+qMjMzg5WVFU6fPi03qbZEfHy8wtZZ2traGDx4MEQiEb777jukpqbCxsamTJUbwcHByMjIQI8ePbBs2TIsXbpU7vX7779DX18fJ0+elGkRd+zYMcybNw8NGzbE7t27Vap4SkhIQEJCQqnzq6oNGzbIfLfv3r3DmjVrAEAuUJWSkoKEhATk5ORIl1laWqJFixa4du2a3LARQUFBuHr1Kpo3by4zXrFkPOcPJ8iMj49X2gpeMh64sgmtjx49ClNTU3h6ehZ7vB/KzMzE+vXrZZbdvn0b/v7+MDAwQJ8+fYp9v729PWrVqoUTJ07IzfuzY8cOJCYmonv37jK9WUo6FmUkFcBPnz4tdjtJRdvs2bORnZ2N4cOHF1s2fxg8KCwsxMqVK1FYWCjz+7azs0PTpk2xd+9enDt3TmFa169flzk/inPmzJli7xk/fH14v6iMpOLmw0rp2NhYaTmsjKqfRVRUlMJeIpLy6MPJcU1NTZX2zlKktOdIaalb3qalpSmc3DM7Oxtv376FtrZ2mSq4JWWPt7e3zPmUk5MDb29vACgxCK2jowNnZ2e8fftWbrxvyW9cHZI5LdR5lTQ8o4S1tTVatmyJq1evIjQ0VLq8sLAQq1atAvD+ely0YjA/Px8JCQl48uSJTFpNmzZFjx49kJycjD179sisW7duHbKzszFw4ECZSaMl5bOi3k/79u1Damoq6tati1atWsmsU/e8FoKWlhZGjRqF3NxcLFy4UO6+Ji8vT+b+IycnBwkJCSr/lnr37g1jY2OcOXMGAQEBcuvV6Tmgq6sLZ2dnZGdn448//pBZ9+TJE+zatQs6OjoYOHCgNO8REREy96bA++9acp2W9NRVtwxSRJ39qVv+q/s9labMk5QTGzZskElLJBJhxYoVKCwsLFNjlX9bvXr10KBBA0RERCAxMVG6PD8/H0uXLlXYYEEyzNcPP/yg8H44KytLZiJ74H3LfFNTUyxevLjUeW3ZsiXMzc2RkJCA/fv3y6y7fPkyQkJCULduXZn5rQYMGID8/HysXbtWZvvExMQy9cwrSktLC8OGDYNIJIK3t7fMue3v74/Y2Fi0a9dO0HlFJIyNjVFQUIDo6GiZ5UFBQXKjjyiTlZWlcLLud+/eSYe2kgSuHB0dUbduXfz999/SIFFRYrFYGuQnUhV7WpDgROLKNTwUEf13LFy4EOfOnUPt2rVRv359uYo/4P2DuLIJeovzv//9Dy9fvoSFhQUaNmwILS0tJCcn49y5c8jNzYW9vb1Mhaq/vz/27t2Lzp07BgEbLAAAIABJREFUo2nTpqhZsyaePHmCsLAw6OrqykwuPXHiRISEhODEiRN4+PAhvvjiC2RmZiIoKAhWVlYICQkp9XwcTZo0wbx587BkyRK4uLigf//+0NHRQXBwMFJTU+Hh4SHXA+P06dPw8vKSGyoPeN/VWDLxqWSixiNHjkhbJFlaWiqdXPdDq1evxj///ANra2vpZIPx8fG4fPkyAGDmzJlyvQMsLCwwfvx4bNu2DQMGDICDgwPy8/MRGBiIjIwMLFiwQK5l1549e+Dj46NwaJYVK1YgPT0dwP+3qtqyZQv8/PwAvK8ALtqS2tvbG2PHjsWPP/6IXbt2oWPHjjAwMEBqairu3buHe/fu4cCBAwrHwh02bBj++usv6c1/ccPjqEIyAXdxn3f16tXRr18/HD16FH5+fhg9ejQuX76MH374AYWFhejSpQuOHj0q976ik2JK9O/fHwDKfeJXExMT6QSc2traCA0NxZMnT9CrVy9pRYrE/PnzERkZiZ07d0p/1xoaGlixYgXGjx+P2bNnIyAgACYmJnj48CFCQkJQrVo1rFy5UqbS3M7ODs2bN0dAQABSU1PRoUMHPH36FKGhobCzs1P4cNetWzcEBQVhxowZ+PLLL1GlShU0atRI2ktE0jpT3VbpnTt3xuHDh3Hr1i1YWFjgxYsXCAwMRGFhIRYvXlziEDTVqlXD0qVLMWvWLLi5uaFfv35o1KgRYmJiEB4ejrp168pVDHTr1g1btmzBggUL4ODgAH19fdSoUQNubm7F7qtTp06oWrUqduzYgdevX0vPe3d3d5lW5JaWlmjdujXi4uKgo6MjF3z6kIWFBQYNGoSvvvoKBgYGCA8PR1xcHNq1a4dJkyZJt9PR0cG6deswceJETJ48Gebm5mjTpg309PSQmpqK27dvIzExEeHh4eUyBJ6qBg4ciC1btmDZsmW4cuUKmjVrhsePH+Ps2bPo06dPsUM0qPpZbN26FRcvXoS1tTWaNGkCfX193L9/H+fPn0fNmjVlyhtJpYk652ZJ53t5UKe8ffbsGYYNG4aWLVuibdu2aNiwIbKysnD27Fm8ePEC7u7uZRoz3NnZGaGhoTh58iQcHR1hb28PDQ0NhISEICkpCV999ZVckF2R2bNnIyIiAjt27MCdO3dgaWkp/Y3b2NiU62Tw6tDS0sLy5csxduxYzJw5Ew4ODmjYsCEiIiJw584dWFhYyF0jnj17hv79+0sr2ItauHAhRowYgSVLliAiIgItW7bEzZs3ceXKFTRv3hyzZ8+W2X7UqFHw9/dHfHw8HBwcYGtrCwMDA8TGxuLy5cvQ0tLCzz//LHMOl+a8Fso333yDmzdvIiwsDA4ODujVqxeqVauGp0+f4uLFi5g3b540YCQZjtja2hq7du0qMW1dXV38/vvvmDBhAubOnYsDBw6gY8eOePfuHR48eICIiAjpJMSqmDt3LqKiorB7927cvn0bXbp0QXp6Ok6ePIm3b99iwYIF0oYMubm5GDduHIyNjdGxY0c0atQI7969w6VLl5CQkABbW1u0bNkSgHplkDLq7K805b8631PXrl2hqamJNWvW4J9//pH2Opg2bZrS/FtYWGDixIn4+++/4eTkBAcHB1StWhUXLlzAvXv3YGlpqdLkyZXJhAkTsHTpUgwdOhQODg7Q0tJCREQEdHR0YGJiItcLw87ODl9//TU2bNiAPn36oGfPnmjcuDGysv6PvTuPkrK8Ez3+q+5GlIZmX5TFFaMYITFKcAy4L8REQW9yHRHviAsq0WjUjMnNYjKRmJnoGYnRuAFBYgxXEVkkxI0IUYEYAhpFjRnMCIhGmn3rpe4fjn3Exl6gX+pp+HzO8Ryoqn7eH9VF2fS33/dZH8uWLYsFCxbE8ccfv00029Gvlz7uRz/6UQwbNixuuummePrpp+Pwww+PZcuWxaxZs6JFixZxyy23bHNmyKhRo2L27Nnx8MMPx+uvvx4DBgyI1atXx8yZM2s27v74D1hs3bo1vve979X8/sMfKrj55ptrwtywYcPiyCOPrHnMyJEjY86cOfHoo4/G0qVL4+ijj4633347fve730Xr1q1j9OjRO/Xn/iTDhw+PWbNmxSWXXBJnnHFGtG/fPpYsWRLPP/98nHHGGQ0KF6tXr45hw4bF/vvvH0ceeWTsu+++sWnTppgzZ0689dZbMWTIkJofwGrVqlXccccdMXLkyJr3uE996lNRUlISK1asiMWLF8fy5ctj8eLFBXmfpnkSLWhyldXbv+YhQNY+PJOgvLx8u8EiIuJrX/vaDkWLiy66KJ566ql45ZVXYu7cuVFRURHt2rWLAQMGxNlnnx2DBw/eJix86Utfiq1bt8bChQvjlVdeic2bN0fXrl3jzDPPjIsuuigOPfTQmsfuvffeMWHChBgzZkz89re/jfHjx0ePHj1i5MiRNdFiZ77ZMnz48OjevXuMHTs2pkyZEvl8Pg4++OC45pprYujQoY1aa86cObV+WnjhwoWxcOHCmt83NFqcddZZ8eSTT9Zc97iioiI6deoUgwcPjgsuuCCOPvro7X7cjTfeGJ/61Kdi4sSJMWnSpMjlcnHEEUfExRdfHCeeeGKj/jyzZs2qdTmYuXPn1vz645cQ7NatWzzyyCMxceLE+N3vfhfTpk2Lqqqq6NSpUxxyyCFxwQUXbPO5/aiePXvGscceG88991x069YtBg0a1KhZP2rp0qUxf/786NixY71/5q985SsxefLkmDRpUgwbNiyWL19e8w/ERx55ZLsf89FNMXe122+/PX7+85/HtGnT4t13342uXbvGVVddFZdddlmD412/fv3i4Ycfjrvuuiuef/75eOaZZ6J9+/Zx5plnxpVXXllrj4CWLVvG+PHj4yc/+Uk899xz8dJLL0Xv3r3j1ltvjbZt2273H3Zf+cpXYvny5TFjxoy47777orKyMvr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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, sumDims = ['Sym'],\n",
    "                                               plotDims = ('m','l','mu'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Example with**\n",
    "- Ordering by symmetry group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'},\n",
    "                                               plotDims = ('Total','Cont','Targ','l','m','mu'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10), logFlag = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Example with**\n",
    "- Unwrapped phase plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files (x86)\\Microsoft Visual Studio\\Shared\\Anaconda3_64\\envs\\ePSdev\\lib\\site-packages\\numpy\\lib\\function_base.py:1519: RuntimeWarning:\n",
      "\n",
      "invalid value encountered in remainder\n",
      "\n",
      "C:\\Program Files (x86)\\Microsoft Visual Studio\\Shared\\Anaconda3_64\\envs\\ePSdev\\lib\\site-packages\\numpy\\lib\\function_base.py:1520: RuntimeWarning:\n",
      "\n",
      "invalid value encountered in greater\n",
      "\n",
      "C:\\Program Files (x86)\\Microsoft Visual Studio\\Shared\\Anaconda3_64\\envs\\ePSdev\\lib\\site-packages\\numpy\\lib\\function_base.py:1522: RuntimeWarning:\n",
      "\n",
      "invalid value encountered in less\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=phaseUW, thres=0.5, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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rtm0RERERERERERER0duPIzhIY96nERxERERERERERERE9N9igIM0RsIABxERERERERERERGVEwMcpDEFDHAQERERERERERERUTkxwEEawxRVRERERERERERERFReDHCQxuRpugBqtmjRIvj6+oq+tnTpUowbp/yk6ocPH8bevXvx8OFD6OnpoVu3bpg3bx5MTEzUVVwiIiIiIiIiIiKidxoDHKQx7+sIjjVr1igss7KyUvr9v/76K7Zs2QJra2ssWbIEz58/h6enJ65duwZvb280atRIncUlIiIiIiIiIiIieicxwEEakw+ppotQKQYPHlzu9z548ADbtm1D27Zt4eXlBW3tN6doz549MXz4cGzYsEE0gEJERERERERERET0oami6QLQhytPS31/OTk5Sv39F6RSKbKyslBQUKDye/39/VFQUAA3NzdZcAMAzM3NYWtri8DAQLx69UqdxSUiIiIiIiIiIiJ6J3EEB2lMnhpHcHTo0EGp9WJjY9X2mSXp1KkTsrKyoK2tjQ4dOmDmzJmws7NT6r23bt0CIP59OnTogNDQUMTFxamU8oqIiIiIiIiIiIjofcQAB2lMwXuWoqpu3bpwc3ODpaUlatasib///ht79uzBpEmTsHbtWri4uJS5jdTUVAAQnWdDWJaSksIABxEREREREREREX3wGOAgjVHnCI4bN26oZTvZ2dnYtm2b0us7OTnB3NwcAPDNN9/Ivebo6Ihhw4bBxcUFy5cvR58+fVCjRo1St5ebmwsAqFatmsJr1atXl1uHiIiIiIiIiIiI6EPGAAdpjDoDHHp6emrZTk5ODrZu3ar0+h999JEswCGmYcOGGD58OHbu3ImbN2+iS5cupW5PV1cXACCRSBSCIa9fv5Zbh4iIiIiIiIiIiOhDxgAHaczbmKKqfv36ap+no0mTJgCA58+fl7luw4YNERcXh5SUFDRv3lzutZSUFADi6auIiIiIiIiIiIiIPjRVNF0A+nDloVBtf2+zhw8fAngTPCmLMLfGzZs3FV67ceMGatSogU8++USt5SMiIiIiIiIiIiJ6FzHAQRqTB6na/jQtJydHlkKqqAcPHsDb2xt169ZFu3bt5F6Lj4/H48eP5ZYNHDgQVatWhaenJ/Lz82XLo6Ojce3aNfTt25cpqoiIiIiIiIiIiIjAFFWkQXnSt3vkhSoePXqEadOmwcHBAc2bN4eenh7++ecfHD16FBKJBGvXrlWYONzZ2RkmJiY4d+6cbFnLli0xdepU/PHHH3Bzc8PgwYORnp6OPXv2oE6dOpg3b95//dWIiIiIiIiIiIiI3kocwUEaUwCp2v40rV69erCzs8P169fx+++/4+eff0ZgYCB69eqFw4cPw9HRUeltzZ07Fz/99BOysrKwYsUK7N69G127dsXBgwdhbGxcid+CiIjedaampnBzc9N0MT5IPj4+MDU1hY+Pj6aLQmp27do1mJqaYvPmzZouSqXZtGkTLC0tkZycrOmiUDmJ1UG5ubno1q0bvvnmm/+sHJs3b4apqSmuXbv2n31mRSxatAimpqZITEx8qz7DwcEBDg4OlVam99mHUGdT5UhMTISpqSkWLVqk6aJ8kGbPng1TU1Ol5q8l5QUFBcHU1BS7d+/WdFEqFUdwkMa87XNnqKJ+/fpYu3atSu8paTJzLS0tuLq6wtXVVR1FI9KYhw8f4syZM7h8+TIePXqEf//9FwYGBmjXrh0mTJiALl26lHvbsbGx8PT0xN27d5GSkoKsrCzUrVsXLVq0wNixY9GnTx9oaWmp8duo1/nz57Fz505ER0ejsLAQrVq1wtixYzF06FClt5GXl4f9+/cjJiYG0dHRiI+PR15eHpYvX46RI0eqXKbExET07t27xNednZ2xceNG0dd8fX2xb98+xMfHo0qVKjA3N8fkyZPRq1cvpT//5cuXOHz4MO7du4d79+7h4cOHKCgowK5du9C1a1eVv09RhYWFcHBwQHJyMk6ePIlWrVqVuO6rV6/w6aef4tWrV7hw4QLq1q1brs/Mzc1F9+7dkZmZiYEDB2L9+vWi6+Xk5CAoKAgXLlyQHc9aWlpo0aIFBg4ciHHjximMACRFbm5uCAsLK/Ha+i5ZtGgRfH19ERwcjCZNmij9Ph8fHyxevBi//PILhg0bVoklpPdNcnIydu7cidGjR7MzzXtGV1cX06dPxy+//AI3NzfZfH8Vwbrmw/Tq1Sts27YNJ0+exJMnT6Cvrw8bGxvMnj0bH3/8sdLb2bx5Mzw8PEp8/c8//4S9vb06ikwkytTUFDY2NvDy8tJ0UUpV1rOZGE9PT9ja2lZSid5v/v7+iIiIwL179xAbG4ucnByMHj0a7u7upb7v6tWr+PPPPxEVFQWJRIIWLVpg5MiRGDNmDKpUUW5MQXZ2NqytrUtdZ9OmTejXr5/S3+dDxAAHacz7lKKKiBRt2rQJAQEBaNWqFXr06IHatWvjwYMHOHfuHM6dO4fvvvsO48ePL9e27969i6CgILRv3x4dOnRArVq18PTpU5w/fx6zZs3CoEGDVA46/lf27t2Ln3/+GYaGhhg0aBB0dHQQGBiIRYsWIS4uDt9++61S28nNzcXKlSsBvBlFVq9ePbX0vG3Tpo3oqLNPPvlEdP3Vq1dj586daNSoEUaOHIm8vDwEBARgxowZWLp0KcaNG6fU5yYlJcn2WaNGjWBkZIRnz56V/4sUUaVKFQwfPhweHh44cuQIFi9eXOK6p06dQmZmJpycnMod3ACAgIAAZGZmQktLC2fOnEF6ejqMjIwU1gsPD8c333wDQ0ND2NrawtHRES9evMD58+exevVqnDlzBnv27EH16tWV/lzO1UREqvjf//4HiUSCKVOmaLooVAlcXV3x+++/49dff8XOnTs1XRx6B0kkEkyaNAmRkZGwsLDA+PHjkZKSgtOnT+PChQvYs2ePwnyTZRk6dChMTEwUln/00UcVLq+VlRUCAgJE77uIStOwYUMEBASgVq1ami4KDAwM8NVXXyksFwKEYq+JnVOknE2bNuHx48fQ19dHgwYN8PDhwzLf4+/vjwULFkBPTw8DBgyAvr4+zp49C3d3d9y+fRurVq1SqQw6Ojr4/PPPRV8rrYMevcEAB2lMwXs0goOIFHXv3h3Tpk2Dubm53PKwsDBMnjwZa9asQb9+/dCgQQOVtz1gwADRXoNZWVkYNWoU/Pz81NZTUZ0SExOxevVqGBoa4ujRo7Le2TNnzsSIESOwc+dO9O3bFx06dChzWzVq1MC2bdtgZmaGBg0alNkjTllmZmaYNWuWUutGRkZi586daNasGby9vVG7dm0AwJQpUzB8+HCsXr0aPXv2VKoXeuPGjbF7926YmZnB0NBQ1otdXUaMGIEtW7bg+PHjmD9/fomjIg4fPgwAGD16dIU+7/Dhw6hSpQomTZqEHTt24NixY5g0aZLCesIIwH79+smVKSsrC+PHj8eNGzewb98+TJ48WanPVaUXJRFRZmYmTpw4ATs7O47eeE9Vr14d/fv3x6FDh/Dw4UM0b95c00Wid8yuXbsQGRkJJycn/Prrr7Jeyf3798fMmTOxZMkSnDhxQuneysCbAEdl9TTX1dXl/RCVi46Ozltz7BgYGIg+kwnPe8o+r5FyfvrpJzRp0gRNmzZFSEgIZsyYUer6z58/x7Jly1CjRg0cPHgQrVu3BvBmv4wdOxa+vr5wcnJSKaOBjo4O92sFcA4O0ph8aaHa/oiochXNR5qYmIi5c+fC1tYWlpaWGDZsGM6fP6/wnmHDhikENwDAxsYGNjY2yMvLw40bN8pVnpJ6s+vr6+PTTz8FAIVeFwkJCVi6dCn69OkDKysr2NjYwMXFBT/88APS09Pl1s3MzMSKFStgb28PS0tL9OvXD7t27UJCQkKF8rIePXoUEokEn332mVyjf+3atWW9NQ4ePKjUtqpVq4YePXqUK0CkLkJZZ8yYIQtuAECTJk0wduxYSCQSpecjqF27Nuzs7GBoaKhSGTIyMrB+/Xr0798fVlZW6NixIyZMmIDLly/LrWdsbIzu3bsjPT0dQUFBotuKj49HZGQkmjRpUqG0WHFxcbh58ybs7Owwbdo06OjoyAInxZmZmWHQoEEKARd9fX1ZQCQsLEzpzxabg6NoPvTTp09jxIgRaNeuHWxsbDB37lykpqYqbMfNzQ2mpqaQSCTYuHEjHBwcYGFhAUdHR3h4eEAikShdJuDN+bhw4UJ0794dFhYW+PTTT7Fw4ULR3lGl5SovnldbqJuE38jU1FT2V5G5SIrWefHx8fjyyy9hY2OD9u3bY8yYMQrHV1nu3LmDWbNmwc7ODhYWFujVqxeWLVuGtLQ0ufVMTU1lgb3evXvLvktZedjd3NxkI5MWL14s9zskJiZi3bp1MDU1xbFjx0osn6mpqdzDnLAfEhISsGvXLvTr1w+Wlpawt7fHypUrkZWVJbqtlJQUuLu7o3fv3rCwsICtrS1mzJiBqKgopX+vyiYcH6mpqfjmm29gZ2cHKysrDBs2DCdOnCj1vffu3cP06dPRqVMntGvXDuPGjUNkZKTCeqmpqfDw8ICrqyu6desmO+7nz5+P+Ph40W0HBwdjwoQJ+PTTT2Xrjxs3Dvv27VNYV9m6ryz+/v7Izc1F//79FV4rK4+92BwBReeBuHr1Ktzc3NChQwdYW1tj+vTpCt99/fr1MDU1xZUrV+SWb9q0CaampqIjCrt164aePXuKljMqKgrTp0+HjY2NXD1y9epVLF26FM7OzrC2toaVlRUGDhwIDw8PvH79WuEzitabvr6+GDJkCKysrGBnZ4fFixfj6dOnCu8pb70ZHx+PRYsWoUePHrCwsEDXrl0xf/583L9/X3T9R48eYfbs2ejcuTPat28PV1dXhISEiK4rGDBgAKRSKY4ePVrqemUpq64prjzXHA8PDzg5OcHCwkLhfsvf3x9ubm7o3LkzLC0t0b9/f9kIpOLCw8MxY8YM2Nvbw8LCAt26dcOoUaNK7Qxy8OBBuLi4wNLSEl27dsXSpUuRmZkpuq6y9XpppFIp9u7diwEDBsDS0hLdu3eHu7t7iZ+pCVKpVHa/980338gFMRwdHdGpUyf8888/Kt2rVLaS6i7hOMvPz8fWrVvRt29fWFhYoEePHli7dm2p5+jixYtl57SdnR3Gjh2L/fv3q6W8AQEBmDBhAmxsbGBpaQkHBwfMmzcPt2/flq1TtG69ePEi3Nzc0LFjR5iamsptKzQ0FFOmTJFty8nJCevWrRM9ppR9NpJIJPD09MTQoUPRuXNntGvXDg4ODvjiiy/w119/Kf09VXkWA1Q734Gy95PwGwJv7q2L1l/F7yvFnvXS0tLw008/ybbfpUsXfPXVV7hz547CuqpeC9XN1tYWAwcOREZGBn7++Wf07NkT5ubm2LFjB4DS57o4f/48TE1NZesW9fz5c6xevRpOTk6wtLRE586dMWXKlP9kzqVjx47B1dUV1tbWaNeuHQYNGoSdO3ciLy9PdP2goCCMGjUK7dq1g62tLWbPno2EhIQSv3vXrl3RrFkzpdNc+/v7IzMzE0OHDpUFNwBAT09PFqQ4cOBAOb9t6eLi4rB69WoMGTIEtra2sLCwQO/eveHu7o5///1X6e3Ex8fj22+/Re/evWFpaQlbW1sMGjQI7u7uyM7OlltXKpXC29sbY8eORceOHWFlZQUXFxds374d+fn56v6K5cIRHKQxedICTReBiFSUlJSEkSNHomnTphg8eDBevHiBgIAAfPnll9i1a5fS82poa7+5/FStWlWt5cvNzcXVq1cBQO5GIy0tDSNGjEBWVhbs7e3Rt29fvH79GomJifDz88O4ceNkw9hfv36NCRMm4O7duzA3N4eLiwsyMzOxdetWhIeHV6h8Qtm6d++u8JqQb1hYR1PS0tJw8OBBZGRkwNDQEO3bt0ebNm1E1y3r+/zvf//D1atXMXv27Eopa1JSEtzc3JCUlIROnTqhe/fuyM3Nxfnz5zF16lS4u7tj1KhRsvVHjhyJkJAQHDlyBM7OzgrbO3LkiGy9iszhIgQzhg4dCiMjI/Tq1QtnzpxBeHg4OnXqpPR21H2e7N+/H+fOnYODgwM6d+6MqKgoBAQEICYmBsePHxcd1TJnzlSxd2MAACAASURBVBzcvn0b/fr1g7a2NoKDg7F582bcuXMHW7ZsUep3ioqKwqRJk5CdnQ0HBwe0atUK9+/fx4kTJxAcHIzdu3fD0tKyXN9JGL7v6+uLpKQkueH66himn5iYCFdXV3zyyScYPXo0nj59ioCAAEybNg3r168XPY6KE1LnAYCTkxMaN26Mu3fv4sCBAwgODsaBAwdkAc+vvvoKQUFBiImJwfjx42FgYAAAZaZKGDp0KGrVqoXg4GD07t0bZmZmstcMDAzg6uqKHTt24ODBgxgyZIjC+w8dOgRAfOTSypUrER4ejv79+6NWrVq4fPky9uzZg/DwcBw4cEAu4Hz37l1MnjwZL168wKeffoq+ffvKgopjx47F77//jh49epT5m/0XXrx4gTFjxqBWrVoYNmwYMjMzcerUKSxYsACpqamYOnWqwnvu3LmD7du3o3379hg5ciSePHmCM2fOYOLEiTh27BhatmwpWzc8PBx//vknbG1t0bdvX+jp6eHRo0cIDAzEuXPncODAAbm69dChQ/jhhx9Qv3599OrVC0ZGRvj3338RGxsLHx8ffPbZZ7J1Va37ShMaGgoA6NixY3l/SlEhISEIDg5G9+7d4erqivj4eFy4cAG3b9/GyZMnUadOHQCAnZ0dtm3bhtDQUHTr1k32fuH6kpCQgMTERNk5EhcXh2fPnomO4rx58yb++OMPdOzYEcOHD0d6ejp0dHQAvMnr/+DBA3To0AE9evSARCJBZGQkNm/ejGvXrmH37t2ide3u3btx5coVODs7o3v37oiIiICPjw/CwsJw5MgR2fcoSpV68+LFi5g1axby8/PRq1cvNGvWDKmpqThz5gxCQkLg6emJtm3bytZ/+PAhRo8ejYyMDNjb28PMzAyPHj3CzJkzRa/FAisrK+jo6ODKlSuYP39+qfuuNGXVNUWV55oze/Zs3L59G/b29nB0dJRLFblkyRIcPXoUjRo1Qp8+fWBgYICbN29i06ZNCA0Nxa5du2TXzYsXL+Lzzz+Hvr4+HBwc0LBhQ2RkZOD+/fvYv3+/aGqXtWvX4vLly+jVqxe6deuGa9eu4fDhw3j06BE8PT3l1lWlXi/NihUr4OXlhfr162P06NGy4+XWrVuQSCRvxRxcjx8/xpMnT9C8eXM0bdpU4XV7e3uEh4fj6tWrKs2vFxERgbt37yI/Px9NmjRBly5dRM+nyjB//nxERESge/fu6NGjBy5evIjt27fj+fPn+OWXX+TWDQkJwZw5cyCRSNC9e3cMGDAAL1++RGxsLLZv346xY8eWuxxSqRSLFy+Gr68vjIyM0KdPH9SpUwcpKSm4du0aWrRooXB/FBgYiEuXLsHe3h6urq5ISkqSvXbw4EEsW7YMurq66NevH+rWrYuwsDD8+eefOH/+PA4cOCA7T1V5Nlq8eDH8/f3RunVrDB48GDVq1EBaWhoiIiJw6dIlpToFqfJ5gGrnu7L7yczMDF999RU8PDxgYmIiN/ehjY1NqeVPSEjA2LFjkZaWhi5dumDAgAFITk7G6dOnERISgs2bN4v21Ff2WlgZcnNzMW7cOOTl5cHe3h66uroVGqn54MEDTJgwAampqbC1tUXPnj2RlZWFc+fOYeLEiVizZg1cXFzU+A3+z/Lly+Hl5YV69ephyJAhqF69Os6dO4fVq1cjNDQUW7dulbuGe3t747vvvpOljqpbty6uX7+O0aNHo1mzZmopU2nPwd26dUPVqlURFhYGqVSq9rlB/fz84OPjA1tbW3Tu3BlVq1ZFTEwM9u3bh5CQEBw9erTMFH2PHz/GiBEjZPcf/fv3R25uLhISEuDt7Y3p06ejZs2aAN7MZ/n1118jMDAQTZo0gbOzM/T09BAeHo61a9ciPDxc6efCysQAB2lMwXs08kKZCaC+/vprfPHFF2Vuq3gvjKIiIyNllQyRJoSFhWHWrFlyD4YDBw7E1KlTsWPHDqUebJKSkhAaGgpdXV107ty5QuV59OgR/Pz8UFBQgH///RchISFIS0vD559/LtdwFBgYiIyMDCxZsgQTJkyQ20ZOTo5cb7Tt27fj7t27GDBgANavXy+7UH/xxRcqTQIu5sGDBwAgmh6iQYMG0NPTQ0pKCnJzczU2j8KVK1cUetLa2Nhg9erVaNy4sWxZTk4OUlNToaenJzqKRMihrEz+0vJatGgRnjx5gg0bNmDAgAGy5S9fvoSbmxuWL18OBwcH1KtXDwDQq1cvNGjQAKGhoUhISJB7UJdIJDh+/Di0tbUxfPjwcpfp9evX8PPzQ61atdCnTx8AbxqEzpw5g0OHDqkU4BB62pbWaKWKS5cuwdvbW+46M3/+fPj7+yMoKEi0sf7+/fs4efKkbITO3LlzMX78eJw/fx7Hjx8XbSwvSiqV4ttvv0VWVhbWrl2LQYMGyV4LCAjA3Llz8c033yAgIECl1BYCYfh+WFgYkpKS1D6s+/r165g8ebLc3DifffYZXF1d8eOPP8Le3h76+volvj87OxuLFi1CQUEBvLy85Pb/tm3bsH79evzwww+yvPizZs1CUlISYmJiMGHCBKUnGRcae4ODg+Ho6KjQ+GtgYAB7e3uEhIQgNjZW7hjIzs6Gv78/jI2NRSd2jYyMxLFjx2QBo/nz52POnDk4c+YMtm/fjpkzZwIA8vPz8fXXXyMnJweenp5yjQWpqakYMWIEvvvuO5w7d06pRrvdu3er1IvZzMxMtLd/SWJjY9GvXz9s3LhRduxNmzYNw4cPx6+//gonJyeFxryQkBCFiZUPHjyIH3/8EZ6enli2bJlseZcuXXDlyhWF4yMmJgZjxozBunXrsH37dtnyQ4cOQUdHB8ePH1eY/6d4L0NV677SREREoGbNmmjRokWZ66oiKCgIO3bsgJ2dnWzZ+vXrsW3bNhw9ehTTpk0DAFhbW6NatWqyQAvw5pi8ffs2unXrhitXriA0NBQjR44E8H8BGbHUNpcvX8ZPP/0EV1dXhdeWLVuGJk2aKDx8//rrr9iyZQsCAwNF68BLly7h8OHDciNSV65ciT179mDdunWyubCKUrbefPHiBebPn48aNWpg3759cvm1//77b4waNQrff/+9XLpGd3d30fuZoKAg2bkopkaNGmjVqhXu3buHrKysUuut0pRV1xRVnmtOUlISTpw4odDo5+Pjg6NHj6JPnz5Yt24datSoIXtNSNG5b98+2W9y5MgRFBYWwsvLS6GThliPZQC4desWTpw4IbvXyc/Px4QJE3Dt2jVERUXJ0p6qWq+XJDIyEl5eXmjWrBmOHDkiG8EqHC9Pnz5VKVDv4+Mj19hdFhMTE6UmiRfuXUuqI8p7v7dp0ya5/1erVg1TpkzBnDlzKr2RLCEhAf7+/nK/+eDBg3Hs2DHMmzcP9evXB/DmWJk/fz4KCgqwZ88ehUbwlJSUCpXj8OHD8PX1haWlJXbt2iXXmUF4tinuwoUL2LZtm8L1OikpCcuXL4eenh6OHDkil2Zp2bJlOHDgANauXYuff/4ZgPLPRpmZmTh58iTatm2LI0eOKASCxUZeiFHlWUzV813Z/WRmZgYzMzNZgEOVe0ZhdFbxNp2xY8di3LhxWLRoEc6dO6fQVqPstbAyJCYmolevXti0aZPSc/mVZsGCBXj27Bn+97//ybV9paenY8yYMfjxxx/Ro0cPhWB3RV25cgVeXl746KOPcOjQIVnD/dy5czF9+nRcvHgR+/btk83t+fz5cyxfvhy6urrw9vaWOxfc3d1FR8WWR2nP9TVq1ECjRo2QlJSElJQUpQNLeXl5oqNmmzdvLhc8+uyzzzBnzhxZJw5BYGAgZs+ejZ07d5bZmeHEiRPIycnBqlWrFNo4srKy5O7VPT09ERgYiCFDhuDnn3+WvSaVSrFq1Srs3r0bx44dq3BbSUUxRRVpTB4K1fanaXXq1MGaNWtE/4Sb5LLSSxTVqVMn0W2p48JEVBEmJiYKgbru3bujcePGSqUfkUgkWLBgASQSCb766iu5tEbl8ejRI3h4eGDLli04fPgw0tPTsXDhQsydO1d0/aI3yAI9PT255ceOHUOVKlUwb948uQcsY2NjhRtyVQkpXUrqjS00OGgiNYGuri6+/PJL+Pj44Pr167h+/Tr27t0LW1tbhIWFYeLEicjJyZGtL5SxpO8iLH/58mWllDcmJgZhYWHo27evXAMf8H+N3q9fv0ZgYKBsedWqVTF8+HDZENuigoKC8Pz5c/Tq1Uv2YFsep06dwosXL+Ds7Cw7ruzt7VGvXj0EBgbixYsXSm1n7969uHTpEszMzCoUcClKSM1QlNBoWDQNQlFffPGF3HlavXp1zJs3DwCUSnUSGRmJ+/fvo0OHDnLBDQBwdnZGx44d8eDBA0RERKj0Xf4rtWrVUmg0tLS0hIuLC16+fImzZ8+W+v7g4GBkZGTA2dlZIbg1efJkmJiY4MqVK3jy5Inay17cmDFjAEAhXZrwgDNixAjRHuzjx4+Xa2SrUqUKFi5ciCpVqsgdAyEhIXj8+DHGjRun0LjQsGFDTJ06FU+fPpVryC6Np6cnPDw8lP4rKfVcSapWrYoFCxbINao0bdoUbm5uyMvLw/HjxxXeY21trdAgOHz4cGhraytcA+vWrSvaiNymTRvY2tri2rVrCmkVtLW15XqkCoo29pan7iuJRCLBs2fPUL9+fbU3KDo7O8s16ACQjSopWt/UqFED7du3R3R0tKx+DA8PR15eHiZMmIA6derIjWwUjp/i2wbeNF6JBTeAN/tW7DsK1/VLly6Jvm/QoEEK6TZnzZqFWrVqwd/fXzRVirL15rFjx/Dy5UvMnj1bYfLQTz75BCNHjkR0dDT++ecfAG8a6a5cuYImTZpg3Lhxcus7OjqW2QO5Xr16KCwsFE0RVRnKc82ZM2eOaI9mT09PaGtrY+XKlQr3cl9++SUMDQ1F08uJPTuV1GN65syZch05tLW1Zed70fNbXfW6kMJzxowZcuk5ix4vqvD19VWpzlR2njPhfq+koJhwv6fsvWubNm2wcuVKBAUFISoqCufPn8fy5cthYGCALVu2YOPGjUptpyIWLFgg95vr6enBxcUFhYWFcumGjh07hqysLLi6uoqeX40aNapQOfbu3QvgTaNr8fvpqlWrinYg6t27t2hnBD8/P+Tl5WHcuHEKc0jMnTsXNWvWxPHjxxXqrLKejbS0tCCVSlGtWjXRjiiqTuSuzLOYqud7Ze+nlJQUXL58GY0bN1YY3WltbY0BAwYgIyND9J5Q2WthZVmyZIla2pAiIiJw584dDB48WKFjr5GREb788ktkZ2fj3LlzFf6s4oTr5qxZs+SOt2rVqslSiQmj8IE3jfy5ubkYMWKEwrkwe/ZstXUiLOtZWKgzVXkWzsvLE62v/f395dYzNjZWCG4Ab0YUGhsbq5SuVOz40NfXVwhw6Onpwd3dXW65lpYW5s+fj+rVq5eZ4vW/wBEcpDH571GKKj09PQwePFhh+aNHj5CcnIz27duXOjKjOCH9D9Hbpk2bNqINYI0aNcLNmzdLfW9BQQG++eYbREZGwtnZGVOmTKlweezt7REbG4u8vDwkJyfDz88PGzduxPXr1/Hbb7/JLsAODg7YsGED3N3dcfnyZXz66aewtrZGq1at5Bo8srKy8PjxYxgbG4v2nFZ3Co/ipFIpAFRKz7Vr164p5Ecu2nuvbt26mDNnjtzrnTt3xs6dOzF27FjcunULR44cUTnIU1m98IT5W7KyskR7ugg9NIvnMB85ciT++OMP+Pj4YPbs2bLjWQh4KJvWpSRC43HRRlBtbW24uLhg165dOH78uKyHUUnOnDmDlStXon79+ti8ebPoDWx5iKWBEnoUlRR4EXtQ7NSpE7S1tXHv3r0yPzM6OhqAeG9r4E0v94iICERHR1d4RFdlMDc3F23UsbGxga+vL6Kjo0vtrSR8f7HRbdra2ujcuTOSkpIQHR0t17BWGezt7dGkSRMcP34cCxYskD3gHT58GFWrVpU1PBYndgw0bdoUxsbGSEpKwsuXL2WpIwDgyZMnouek0Ls3Pj5eqTRVlfGQXJSxsbFouhXh+wr7rigLCwuFZTo6Oqhbt67oA2xISAgOHjyIO3fuID09XSFHcXp6uqwBy8XFBatWrcKAAQPg7OwMGxsbWFtbKzTGlrfuE5ORkQFAMbWQOoj9ViXVN126dEFYWBjCwsLQp08fXL16FTo6OujUqRNsbW1lAY6CggKEh4ejRYsWaNiwocL2hR72YoSRRWfPnsXDhw+RnZ0tu+YCKHHeBLHjv1atWjAzM0NYWBji4+Pl0jSV9B6xelM4Z2JiYso8Z1q1aiU7Jjt27Ch6L2ZjY1PqPAhC0EXZHtcVVZ5rjtg+zM3NRUxMDIyMjLBnzx7R91WrVk0up72LiwvOnDmDUaNGoX///ujSpQusra1LbehU9phVV70ubKe040UVXl5eKq2vLkXPI2UIo1sFjRs3xsiRI2Fubo7Ro0dj586dmDhxYqWm7lF2XwvnqFhAoaJycnIQFxeHevXqic5ZWJKS6rnSjsvatWvD3Nwc169fx/3799GmTRuln4309fXRq1cvnD9/HoMHD0bfvn1lc1AVbygWG3np6OgIMzMzpT+vPOd7Ze4nAHJ1r9g9eZcuXeDn54fo6GiFkc2qXAvVzdDQUG3pmITf+Pnz56LXKyFwXhlzi9y9exeA+LHdpk0bGBoa4u+//0ZeXh50dHRk11lra2uF9Q0NDfHxxx+LzpuibuV5rtfT01NqjtLCwkIcPXoUfn5+iIuLw8uXL1FY+H8dv5WZK9HJyQlbt27FwoULcfbsWXTr1g3W1tZy6VYB4OnTp0hKSoKxsTG2bdsmui1dXd1Kn1dGGQxwkMbkF74/AY6SHDlyBFKptMRGg9JIJBJIJJJyDyEnqgwlNYJoa2vLXVSLE4Ibp0+fRv/+/bF27Vq1Nnzr6OigWbNm+Oqrr1CtWjWsX78eXl5esiCKiYkJvL29sXnzZly6dAlnzpwB8OYGc/LkybIGZ2GERfH0IIKSlitLX18f6enpyMzMFO3xJEzmVRnnfVhYmMLEmjY2NmWmJ9DW1sbIkSNx69YthIeHywIcZfXYK6tXS0UJDXNiKbWKKjrqBHhzLHTt2hWXL1/GhQsX4ODggMTERPz1118wMTGRTVJfHvHx8YiIiEDLli3Rvn17udeGDRuGXbt24ciRI6UGOIKCgjBv3jzUqVMHnp6eog2w5SW2L4RGspLOX7EUN1WrVoWhoaFSk9gJx4FYL0QAstEyb9OEqkWVlOJHWF7SRNsC4XuVNCrov/z+VapUwejRo7F+/XoEBARg+PDhuHPnDu7evQtHR0fRBmOg5HqvXr16SEpKQmZmJgwMDGTn5OnTp0stR/FzUlPK2rdi+0SVa6CnpydWrFiB2rVro2vXrjA2Noauri60tLRk86wUfQCdNGkSjIyMsH//fnh5eWHPnj3Q0tJC586dsXDhQlljcXnrPjFCz1ixSbYrSuy3Ehpsi/9WdnZ2+O233xAaGoo+ffogNDQUVlZWqFmzJuzs7HDq1CnExcUhNzcXmZmZJeb4LmmfCqNBoqKi0Lp1azg7O6NOnTqy8pQ2AXhpxz8gfpwoW28K+7L4qKrihH0pfFZZZSqJsJ/FelBXhvJcc8TqypcvX0IqleL58+elThBeVN++ffHHH39g586d8PHxkc0z1LZtW8yfP19uvhdVy6uuer20/SkcL28D4Xcp6XpX1uhkZbVt2xaWlpaIjIzEzZs3Vcp+oCqx+qm0fV3S9bEiyrvtks5zZY9LIRiv7LMR8CaV359//gl/f39Z43b16tXh5OSEb7/9VlYmT09PhTRpJiYmMDMzU/rzynO+V+Z+Krr98pzzqlwL1U2ZNJXKEq5XISEhCAkJKXG9yrjHy8rKgpaWVonfp379+sjIyEBWVhaMjIxk+6Gs+7yKqlWrFp4+fYrMzEzRY0N4rq+MZ+HvvvsOPj4+MDY2Rs+ePdGgQQNZx86DBw8qdV/XqlUrHDp0CP/73/8QEhKCgIAAAECTJk0wY8YMWRumsO+Tk5NLPScro7OMqhjgII0pUGNqKWUrUj09PbV9Zlny8/Nx7Ngx6OvrKzUJaVGBgYGyeQUMDQ3h6OiIuXPnqvUiRfRfyc/Px/z583H69GkMHDgQa9asUfvk4kXZ29tj/fr1CAsLkxsl8vHHH+PXX39Ffn4+YmJi8Ndff2Hv3r1YsWIFdHV1MXLkSFlgoaSGW2UadEvTokULpKen4+HDhwoBjrS0NOTk5KBRo0aVMv/GrFmzyj0/gVDWonWtnp4eGjZsiNTUVKSlpSk0YD969AiAeF5SdRBuFr/77rsyR0QUN3r0aFy+fBmHDx+Gg4MDvL29IZVKMXz48HLNAyEQGlDu379f4qi9uLg4REZGivYqEiY4rlevHvbs2VNpv50qnj17ptADtaCgABkZGUoF4oT99PTpU9HXheVFtyUEPwsKFDtC/NeBkGfPnpW6vKzfQNnvX1mBwOJGjBiBzZs349ChQxg+fHipk4sL/v33X4XeXMD//QZC2YV/i+dmLq/KnoOjrH1bkX2Sn5+PzZs3o379+vDx8VGoH0sa8ThkyBAMGTIEL1++xI0bN3D27FkcPXoUU6dORUBAAOrWrVuhuq84AwMD6OjoyB5eixPqw+IjTwSZmZlqOXatrKygp6eHv/76C+np6YiJiZGlhhN6bP7111949eqV3LLiSuo4ERwcjKioKAwdOhSrVq2Sey0tLa3UB/aSrvulHSfK1pvCe48fP64wT4QYYf2yylQSYT9XtLNGZRLbh8JvZm5urnRaJQDo2bMnevbsiZycHNy6dQshISE4cOAAPv/8cxw7dkwhLZiy1FWvF92fxZ9RheNFlQbbypqDQ5h7Q8g3X5w67/eEURu5ubkV3pY6CPsoNTVVpWwMqm5bFSXVc8L2nj17hk8++UThdbHjUplnI+BNUFR4jkhOTsb169fh6+sLPz8/JCUlYf/+/QDKHnmpyrOYKud7Ze6notsvqY4Vu5d9G5TWmbC0e22xEanCb7BixQqMGDFCTSVUjr6+Pp49e4Z///1XtD3s6dOn0NLSks1/IuyHsu7zKqpFixa4f/8+Hj58qHCf/OrVK6SkpEBXV1ftgbdHjx7Bx8cH7dq1g5eXl0KKqQMHDii9LXNzc3h4eCAvLw/37t3DpUuXsHfvXnz//fcwMDCAk5OTbN/b2trC09NTrd9F3RjgII3JU+MIjg4dOii1XmxsrNo+syznz5/H06dP4erqqlJgxdLSEk5OTmjRogWys7Px119/4ejRowgNDcXhw4cZ5KB3ikQiwddff43g4GAMGTIEv/zyS4UakJUhPCiUFETR1taGhYUFLCwsYG1tjc8++wzBwcGym+qmTZsiKSkJiYmJCmmqKjpPQJcuXRAZGYlLly4p1FsXL16UrfO2uXXrFgAojCbo0qULjh8/jkuXLinME1HZ36ddu3YA3uRqV7WRz8HBAfXr18fFixeRnJwMX19fVK1atUI37MIk5VWqVMHQoUNFHyqEHL5HjhxRCHCcOHEC3377LRo2bKj2kRsVERYWpjDcPjw8HPn5+QppWcQI65SUNkVY3rZtW9kyIY1KcnKybPJSQUn5ioV6paCgQK0B1OjoaNEJeYVyl5VWouj3Lz6aMz8/X1anFN2O8F1U7dlX9DcoSZ06deDk5IQTJ04gIiIC/v7+ZY5cCgsLU0gflpCQgOTkZJiYmMh6bBU9J9UR4BDrCVqaoUOHqhTgSE5OFq3nld23pUlPT8fLly/Rt29fheBGdna2LN1CSQwMDNCjRw/06NFDloYgPDwcTk5OFar7xLRu3brEiaeFfSs2ke6jR4/w8uVLtQQ4hLQ+Fy5cwPHjxyGVSmU5yz/66CM0btwYV69exatXr1ClSpUSU96V5PHjxwDe9Oov7vr166W+V6wOzMzMxL1791C9enWF/N4lvUes3mzXrh0CAwMRERGhVIBDOCYjIiJE67rS0lMBbxqoDQ0NK5yPXpm6Rp1q1qyJTz75BH///TcyMjJUHtmgp6cHOzs72NnZwcDAAL/99hsuXrxY7gBHeep1Mebm5rh79y7CwsIUrvnC8aIKX1/fMo+BopQZxQsAzZo1Q+PGjfHw4UMkJCQolFVd93t5eXmyVEBvyz1Q+/btERgYiIsXL6o9/ZGenh5at26NuLg4REdHV+iaA7w5Ls+cOYNr164pzPnw8uXLUuus0p6NijM2NsagQYMwcOBA9O/fHxEREUhPT1dpLo7SPq8857uq+6lKlSoq1V9F6978/HyF9HHXrl0DIH8v+7Yreq9dfPSBWPom4d4jIiLiPw9wmJub4+HDhwgLC1PoOBwTE4OMjAy0bt1aNoJBqKOFtNhFZWRkqC2VUpcuXRAcHIxLly4pjDi7cuUKCgoKYGNjo/a2DyGo3KNHD4XgRnx8PP7991+V7810dHRgZWUFKysrmJmZ4YsvvkBQUBCcnJzQqFEjNGrUCNHR0cjNza2UjpjqwknGSWPypQVq+1OX7OxsbNy4Uek/sfzMAmG4uar53L29vTFt2jQ4Ojpi8ODBWL16NZYuXYqkpCSlh2kSvQ2EicSDg4MxYsQItQY3hAlIi3v+/DnWrVsH4E3PPUFUVJRobw1hWdF0DUOGDEFhYSE2bNggl1c4OTm5xFywyho2bBiqVauGffv2ITExUbb8xYsX+OOPPwBAYYLUzMxMxMfHl5gfXF1u3bolmqIjNDQUu3fvBgCFSaKFsm7dulUuj2xiYiL279+PatWqKTw8P3/+HPHx8bI88eVlaWmJTp064ezZswoThgtiY2NFe7pqa2tj6NChKCgowIIFC5CSkgJ7e/sK9bAJDAxERkYGPv30U6xcuRIrVqxQ+Nu0aRP09PRw6tQpuZ7pvr6+WLhwIYyNjbF3716lHuzj4+P/k1ynW7Zskdu3r1+/xoYNGwBAI4yWKQAAIABJREFUIaj15MkTxMfHy/W87NixI1q0aIGIiAiF1EWnT5/G9evX0bx5c7n5bYT80kUnDATe7M+Seg4JD8AlTerq4+MDU1NT2WSEysrMzMTvv/8ut+z27ds4ceIEatWqpZBLvDhHR0cYGhri5MmTCr329+zZg4SEBHTt2lWut3dZ36UkQuNCcnJyqesJk43PnTsXOTk5GD16dKl1c/FAQ2FhIdasWYPCwkK587t3795o1qwZ9u/fjwsXLohu68aNG0r3zD137hxiY2OV/iveM78sBQUFWLdunVwgKSEhAV5eXtDW1lao71RRt25d6Orq4u7du7IUBcCbBrwVK1aIzoFw8eJF0QZNoa4UrlMVqfvE2NraorCwUGGSdABo2bIl9PX1ERwcLLe9V69eYfny5UptX1lC4+i2bdugp6cnl2demKMjMjJSlm9bFSYmJgAUAwAJCQmye4aSCHnVi9q8eTMyMzMxYMAAuck2BcrWm8OGDYOBgQE8PDxEf//CwkJZwxnwZr6zbt26ITExUTY5sSAoKKjUxu2EhAQ8e/YMtra2CgH4RYsWwdTUVDbpdVmUrWvUaeLEicjLy8OSJUtEexe/ePFCLnAYGhoqG/FTlHAcVyRNV3nqdTHC/E1bt26VG0VV9HhRhZeXl0p1prJzdmhpacnu99auXStXZwYFBSE8PBytWrVSmEtE7J4gKytLdP4uiUSClStX4smTJ2jZsqXCvAWbN2+GqampaO7/yjRkyBDo6+vj4MGDosHQ4sFfse9cGjc3NwDADz/8oDBisbCwUKV7/0GDBkFHRwd79+6VNYAKNm3ahKysLAwaNEhWZyn7bPT8+XNZR6eicnJykJ2dDW1tbaXmilPlWUzV813V/WRoaCgauC+JUPcmJSUpPAveunUL/v7+qF27tkqdLDRNSHtZ/F779u3bstG9RdnY2KBt27bw8/NTmPBaEB0drTCviK2tLUxNTSv03CdcNzdv3ix3POTl5WHNmjUAIBd06devH3R1deHt7a0wH9lvv/2mthFiAwcOhL6+Pnx9fREXFydbnpOTI6urhHtudRLuaa5fvy7XVvHy5Uv88MMPSm8nMjJS9H5UuE4WDWRMnDgRmZmZWLp0qdx9reD58+eIiYlR+rMrC0dwkMYUSNWXouqWEhPxKCMnJwdbt25Vev2PPvpItLdFcnIyLl++jLZt26olkj927Fh4eHiU2GBA9Db68ccfceHCBRgZGaFhw4YKjYTAm5slVXtiAsDPP/+MZ8+ewdraGsbGxqhatSqSkpJw4cIFvHr1Co6OjnKNCCdOnMD+/fvRuXNnNGvWDLVr18bjx49x/vx5VKtWTW7i7KlTpyIoKAgnT57EgwcP0K1bN2RmZuL06dPo1KkTgoKCyj1/SNOmTbFw4UIsX74cw4cPh7OzM3R0dBAYGIiUlBRMnjxZYWTH2bNnsXjxYtHUGtu2bZPduAkPjEePHpX1HuzYsaPScwCtW7cOf//9N2xsbGS9O2NjY2WTu86ZM0dh1IG1tTUmTZqEXbt2YdCgQXByckJeXh4CAgKQkZGBpUuXKvSO3rdvHzw8PPDVV18ppMxavXq17EZL+A47duyAn58fgDeNCkUfHtavX48JEybgu+++g5eXF9q1a4datWohJSUFcXFxiIuLw6FDh0TTcYwaNQp//vknwsPDAZSeokcZQlC7tN9bX18f/fr1g4+PD/z8/PDZZ5/h6tWrWLJkCQoLC2FrayvawFSrVi1MnDhRbpnQI6myRya2bNkSAwYMQL9+/aCtrY3g4GA8fvwYPXv2xODBg+XW/fbbbxEWFgZPT0/Zea2lpYXVq1dj0qRJmDt3Lvz9/dGyZUs8ePAAQUFBqFmzJtasWSPXwN67d280b94c/v7+SElJgZWVFZKTkxEcHIzevXvj1KlTCuW0s7PD6dOnMWvWLFmPpsaNG8t6UQsNMqqO7ujcuTO8vb0RFRUFa2trPH36FAEBASgsLIS7u3uZ6Qhq1qyJFStW4Ouvv8a4cePQr18/NG7cGHfv3sXly5dRv359uLu7K3yXHTt2YOnSpXBy+n/s3XmUVdWdP+zPLUBQoJgsHAA1jghGHFpBFIxTEkQNYjSxFQ1EcdbEIb8MxnTS+fnGjtrtHLUbjW2yDEaj4hCjBqKIgNIYFYImxqEFFKOMKgJV9f7hS72pFCJQdbkeeJ61WKvuOefu/a1zB27dz9l7fyGbbbZZqqurc+KJJ662rz322CObbrppfv7zn2fhwoUNz/sRI0Y0upJr7733Tu/evTNr1qy0adOmSVD1j/baa68MGzYsQ4YMSceOHTNx4sTMmjUrffv2zamnntpwXJs2bXLNNdfklFNOyejRo7Pnnntm1113Tbt27fLmm2/m+eefz//+7/9m4sSJn4qrv3bZZZc899xzGT58eMP7/EMPPZRFixbloosuatbCnFVVVRkxYkRuuummHHnkkTnkkEOyfPnyTJkyJQsXLkz//v0bfXGdJOeff37atm2bvffeOz169Eh9fX2eeeaZPP/88+nbt28GDhzYcGxz3vv+0ec///mMGTMmTzzxRKM+ko8e05NOOinXX399hg0blsMOOywrVqzIpEmT0r17949dW2ddrLzi+J133smgQYMaBQcDBgxoeG9cl6vEDzrooGy77ba55ZZb8tJLL2XXXXfN3LlzM378+Hzuc59bbZg4aNCgHH/88RkyZEhqamoybdq0TJs2LT169MiFF164yvus6ftmly5dcvXVV+ess87Kcccdl/322y877rhjqqqqMnfu3EyfPj0LFixoNHLtkksuyVe+8pVceumlefLJJ9O7d++89tprefTRRxsWAl6Vleu1rGoUy9q+P67pe01L+vKXv5wZM2bkl7/8ZQ477LAccMAB2WqrrbJw4cK88cYbefrppzN8+PCG99Of/OQnmT17dvb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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, \n",
    "                                               plotDims = ('l','m','mu','Cont','Targ','Total'), \n",
    "                                               thres = 0.5, figsize = (15,10), \n",
    "                                               pType = 'phaseUW')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Further analysis examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summations\n",
    "- Sum over Eke, plot by l."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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NMDWVMFXVy1JTU1VOX0VEREREREREREREihjgIK3R5AgObZHJZJg6dSoiIyMxadIkTJ48WWm6Bg0aoEmTJrh+/Try8/PlRmukpqbiwYMHcHNz+6+KTURERERERERERPTae/1bmOm1pS/R1dhDG2QyGaZMmYLIyEhMmzZNZXBD4Orqiry8POzZs0du+9atWwEAgwcPrrayEhEREREREREREb1pOIKDtEaTU1RpSmBgIO7fvw8AkEqlKCkpwdq1a8X9X331lfj3zJkzERUVBVtbW5iZmSEoKEgur+bNm8PGxkb8/7hx43D06FEsW7YMUqkUFhYWOH/+PAICAjBo0CB069atmo+OiIiIiIiIiIiI6M2hU1JSUqLtQtDbaf65+RrL64cuP2gkHy8vL8TExKjcn5iYKP7t4OAAqVSqMq2bmxt+/vlnuW0ZGRlYuXIljh8/jqysLJibm8Pd3R0+Pj7Q19ev+gEQERERERERERERvSUY4CCtWRi7UGN5Lei8QGN5EREREREREREREdGrj1NUkdboaWntDCIiIiIiIiIiIiJ6/THAQVqjq8MABxERERERERERERFVDgMcpDUcwUFERERERERERERElcUAB2mNvuTVO/1ycnKwfft2hIeHIyUlBQYGBmjatCnc3d0xdOhQuYXA8/LysGbNGoSFhSEtLQ2NGjWCs7MzJk6cCCMjIy0eBREREREREREREdGb79VrYaa3hkRHou0iyCksLIS3tzcSEhIwePBgjBw5Es+fP0d4eDgWLVqEixcvYvny5QCAoqIijB8/HjExMRg8eDA6d+6MxMREbNmyBZcvX8a2bdugq8sRKkRERERERERERETVhQEO0hr9V2yKqpiYGFy9ehVjx46Fr6+vuH3UqFFwd3fH4cOH8f3336NWrVoICAhATEwMvLy8MG/ePDFts2bN8NNPPyEgIACenp7aOAwiIiIiIiIiIiKit8Kr1YWe3ip6Ej2NPTQhOzsbANC4cWO57bq6umjYsCF0dXVhYGAAAAgKCgIAjB07Vi7t8OHDYWxsLO4nIiIiIiIiIiIiourBERykNboanKIqNzdXrXTGxsYq99na2sLIyAgbN25E48aNYW1tjefPn+PIkSOIjo7GlClTYGBggJKSEly9ehWNGjWCubm5XB6GhoZo3749rl69ipKSEujo6FTpuIiIiIiIiIiIiIhIOQY4SGs0NfICAGxsbNRKl5iYqHJfw4YNsXr1aixcuBDTpk0TtxsaGuLHH38Up5zKyspCbm4u2rRpozQfU1NTxMXF4cmTJ6hbt24FjoKIiIiIiIiIiIiI1MUAB2mN7iu2BgcA1KlTB61bt0bXrl3x4YcfIj8/H0FBQfjuu+8AAJ6ensjPzwcAcbqqlwnbhXREREREREREREREpHkMcJDW6OpoLsBx8eLFKudx/fp1jBgxAt7e3pg5c6a4ffDgwRg5ciR++OEH9O7dGzVq1AAAyGQypfkI24V0RERERERERERERKR5DHCQ1mgywFHW2hrq2r59O2QyGQYMGCC3XUdHB05OTjh//jwuXboER0dHGBkZITU1VWk+qampMDY2Rp06dapcJiIiIiIiIiIiIiJSTnOrPBNVkJ5EV2MPTUhLSwMAFBcXK+wrLCwEABQVFUFHRweWlpZIS0uDVCqVSyeTyZCQkABLS0suME5ERERERERERERUjRjgIK3R1dHT2EMThEXDDx06JLe9oKAAwcHBkEgksLKyAvBi2ioA2Lp1q1zavXv3Ijc3F66urhopExEREREREREREREpxymqSGt0dV6t+Jq3tzeCgoKwZ88epKamomfPnsjLy0NwcDASExPh5eWFJk2aAADc3d0RGBiInTt3Ijs7G3Z2dkhMTIS/vz/s7Ozg7u6u5aMhIiIiIiIiIiIierPplJSUlGi7EPR2OpoSorG8nJq6aCSflJQUrF27FqdPn0Z6ejr09fXRpk0bDB06FEOGDJGbdurZs2dYs2YNjhw5gvT0dDRs2BAff/wxJk6ciJo1a2qkPERERERERERERESkHAMcpDWR0jCN5eVo7qyxvIiIiIiIiIiIiIjo1ccpqkhrJDqaWRyciIiIiIiIiIiIiN4+DHCQ1uhJGOAgIiIiIiIiIiIiosphgIO0Rk+Hpx8RERERERERERERVQ5bmElrJDoSbReBiIiIiIiIiIiIiF5TbGEmrdHV0dXYo7oUFxdj6NChsLCwwJgxYxT25+XlYfny5XBwcIClpSUcHBywfPly5OXlVVuZiIiIiIiIiIiIiIgBDtIiiURXY4/qsn37dvzvf/9Tuq+oqAjjx4/Hpk2bYGdnhwULFsDBwQFbtmzB+PHjUVRUVG3lIiIiov9nYWEBLy8vbRfjrXTo0CFYWFjg0KFD2i4KaZivry8sLCyQkpKi7aKoxcHBAQ4ODtouhtr+i3qroq9x7tw5WFhYYNWqVdVYKirNy8sLFhYW2i4GvYZetzr6TXLjxg1YWFhg0aJF2i7KG2fw4MGws7PTdjHoNcQpqkhrqnPkhSYkJyfjt99+w7Rp0/DTTz8p7A8ICEBMTAy8vLwwb948cXuzZs3w008/ISAgAJ6env9lkYnoFXDnzh0cO3YM0dHRuHv3Lh4/fgwTExN07NgR3t7e6Nq1a6XzTkxMxI4dOxAfH4/U1FTk5OSgfv36aNmyJUaMGIF+/fpBR0dHg0ejWVFRUdiyZQsSEhJQXFyMNm3aYMSIEXBzc1M7j4KCAvj7++P69etISEhAUlISCgoK8OOPP2LIkCEVLlNKSgocHR1V7nd2dsavv/6qdF9AQAB2796NpKQkSCQStG/fHj4+PujTp4/ar//06VPs27cP165dw7Vr13Dnzh0UFRVh69at6N69e4WPp7Ti4mI4ODjgwYMHOHz4MNq0aaMybX5+Pnr06IH8/HycOHEC9evXr9Rr5uXloWfPnsjOzsagQYPg5+enNF1ubi4iIiJw4sQJ8XzW0dFBy5YtMWjQIIwaNQoGBgaVKsPbxMvLCzExMUhMTNR2UarM19cXAQEBiIyMRNOmTdV+3qFDhzB37lwsWbIE7u7u1VhC0rY36Xwn9d28eROrVq1CTEwMcnJy0KRJEwwcOBDjx49HjRo1KpRXamoqfvvtN5w8eRJZWVlo1KgRHB0dMWnSJNSpU0chfVFREQ4fPoy9e/fi7t27yMnJgampKWxtbeHj44P33ntPU4dJpGDVqlVYvXo1duzYgS5dumi7OGUSfsPVZW9vj507d1Zjid5cycnJCA4OFu+FhABXdHQ0GjZsqPJ5z549w/r16xEeHo4HDx7AxMQE3bp1w5QpU/Duu++q/fpLly7Fli1bVO5/7733EBoaqv4BEWkIAxykNRINDiDKzc1VK52xsbHaec6bNw9t2rSBl5eX0gBHUFAQAGDs2LFy24cPH46VK1ciKCiIAQ6it9Bvv/2GsLAwtGnTBh999BHq1KmD27dv4/jx4zh+/Di+/fZbjB49ulJ5x8fHIyIiAtbW1rCxsUHt2rWRnp6OqKgoTJ48Ga6urli2bJmGj0gzdu3ahR9++AF169aFq6sr9PX1cfToUfj6+uLGjRuYM2eOWvnk5eWJdXKDBg3QoEEDPHjwoMrla9u2Lfr27auwXVXjhXBxb2pqiiFDhqCgoABhYWH44osvMH/+fIwaNUqt15VKpeJnZmpqinr16uHRo0eVP5BSJBIJPDw8sHr1auzfvx9z585VmfbIkSPIzs6Gk5NTpYMbABAWFobs7Gzo6Ojg2LFjyMzMRL169RTSxcXFYdasWahbty66dOmCvn374smTJ4iKisLSpUtx7NgxbN++HYaGhmq/rpGRUaXLTUREr57Lly/D29sbhYWFcHJygqmpKc6ePYs1a9bgzJkz2L59u9rB8Hv37mH48OF4/PgxHB0d0apVK1y5cgU7duzAyZMnsWfPHoXfqxkzZuDIkSMwNTVFv379ULNmTdy4cQMBAQEICQnBpk2b0K1btyod49KlSzm9MVXK9OnTMW7cODRu3FjbRUHfvn1hbm4uty0mJgYxMTGwt7eHvb293L6X05L6Lly4gN9//x06Ojp49913UbNmTTx79qzM5+Tm5sLLywvx8fGwsbGBk5MTkpOTERYWhhMnTmDXrl1o27Zthcrx4YcfwsbGRmH7O++8U6F8iDSFAQ7SGl0NTi2lrGJVRt0eX/v27UNcXBwOHjwIiUQxEFNSUoKrV6+iUaNGCj/OhoaGaN++Pa5evYqSkpJXujc1EWlez549MW7cOLRv315ue0xMDHx8fPDLL79gwIABaNSoUYXzHjhwoNIeyjk5ORg6dCiCg4Ph5eWFDh06VLr81SElJQVLly5F3bp1cfDgQbF39sSJE+Hp6YktW7agf//+atXlNWrUwMaNG9GuXTs0atRI7N1WVe3atcPkyZPVSnvhwgVs2bIFzZs3x4EDB8Ren5999hk8PDywdOlS9O7dW61e6E2aNMG2bdvQrl071K1bt8I94Mrj6emJdevWISgoCDNmzFDZELRv3z4AwLBhw6r0evv27YNEIsHYsWOxefNmBAYGKnQEAICGDRti2bJlGDBggFyZcnJyMHr0aFy8eBG7d++Gj4+PWq/bunXrKpWbiIheLUVFRZg7dy7y8vKwdu1acbRlcXExpk6diqNHj2Lbtm0YP368WvktXLgQjx8/xrx58+Sm7VqyZAm2bduGX3/9VW66mStXruDIkSN47733sH//frkg+sGDB/HNN99g3bp1VQ5wNGnSpErPp7dXo0aNKnU/UR369u2r0FFIGHllb2+v9jU2la9Tp07w9/dH27ZtUbNmTbi7uyM+Pr7M52zYsAHx8fFwc3PDkiVLxDaqkJAQzJw5E99++y0OHjxYoXJ8+OGH+Oyzzyp9HESaxjU4SGte1UXGHz58iF9++QVjx45VGcXOyspCbm4uTE1Nle43NTVFbm4unjx5otGyEdF/KyUlBRYWFvD19UVKSgqmTZuGLl26wMrKCu7u7oiKilJ4jru7u0JwA4DYe6mgoAAXL16sVHlU9WavVasWevToAeDFFFmlJScnY/78+ejXrx86dOgAe3t7uLi44LvvvkNmZqZc2uzsbCxevBi9evWClZUVBgwYgK1btyI5OVl8Hyrj4MGDkMlkGDlypFyjf506dTBhwgQAwN69e9XKy8DAAB999JFWb+iEsn7xxRdyU1o0bdoUI0aMgEwmU3s9gjp16qBbt26oW7duhcqQlZUFPz8/fPzxx+jQoQM6deoEb29vREdHy6UzMzNDz549kZmZiYiICKV5JSUl4cKFC2jatGmVpsW6ceMGLl26hG7dumHcuHHQ19cXAycva9euHVxdXRUCLrVq1RIDIjExMWq/trJ55letWgULCwucO3cO4eHh8PT0RMeOHWFvb49p06bh4cOHCvkIc6HLZDL8+uuvcHBwgKWlJfr27YvVq1dDJpOpXSbgxfdx9uzZ6NmzJywtLdGjRw/Mnj1b4XsKlD2X9svz4gt1k/AeWVhYiI+qzOlfus5LSkrCV199BXt7e1hbW+PTTz9VOL/Kc/XqVUyePBndunWDpaUl+vTpg++//x5paWly6SwsLMTAnqOjo3gs5a2n4OXlJY5Mmjt3rtz7kJKSguXLl8PCwgKBgYEqy2dhYYEvvvhC3CZ8DsnJydi6dSsGDBgAKysr9OrVCz/99BNycnKU5pWamopFixbB0dERlpaW6NKlC7744gtcuXJF7ferukVERGDmzJlwcnISRwK6u7tjx44dKC4uVvm8kpIStd+L69evY/r06eJ3p2vXrnBzc8PixYtRUFBQqXJX9HzPy8sTA82Wlpbo168fNm7ciJKSEqX5+vr64vbt25g6dSq6deuGtm3b4ty5c2I6detbAJDJZNixYwfc3NzQuXNndOzYEQ4ODvjyyy9x+vRppceXkZGB+fPno0ePHrC0tMTAgQNVNjQVFxdjz5498PDwgI2NDaytreHh4QF/f/8yP8OXPXr0CN988w26d++ODh06YPDgwRoNrmtCTEwMkpKS0LlzZ7mpJCUSCWbNmgXgxe/xy5+rMsnJyYiOjoa5uTlGjhwpt2/y5MkwNjZGcHCw3KwAQl3ctWtXhRGCQnlevo6qDGVrcNTeSFEAACAASURBVJSu869du4bx48fDzs4OHTt2xKhRo3DhwgWleRUVFWHPnj0YPnw4OnXqhA4dOqBfv3749ttvlf7uVFRqaip+/PFH9O/fH1ZWVrC3t4enpyfWrFkjl05YDycnJwdLliyBg4MDPvjgA7m1XbKzs+Hn5wcnJydYWVmhc+fO+Oyzz5R+T0pKShAQEIDhw4eja9eusLKywkcffYTPPvsMYWFhcmk1UQdV5PWE96Ui9b86n5ODg4PYgWf06NFy9Z6grOuGsLAwjBw5UszfxcUFGzZsUHodI3xe6tadmrRr1y5YWFggPDwcERERGDFiBGxtbcVOT+WtdeHu7q6yg1RkZCR8fHxgb28PS0tL9O/fHytWrCh3tENVPXjwAPPnzxffx+7du+Prr7/G9evXlabPysrC999/jx49esDKygoDBw7E7t27VR5706ZN0alTJ9SsWVOt8hQVFWHfvn3Q1dXFjBkz5Drguri4iJ1zq+N6pbi4GHv37sUXX3wBBwcHWFlZwc7ODl5eXjh69Kja+RQVFWHv3r3w9PREly5d0KFDB/Tu3Rvjx49HZGSkQvrk5GTMmzdPrh6YMmWKys+A3gwcwUFao8kpqirbWKjMwoULUbduXUyaNEllmvz8fABQ2RNW2C6kI6LXm1QqxZAhQ9CsWTMMHjwYT548QVhYGL766its3bpV7XU19PRe/Ozq6mo2MJuXl4ezZ88CAN5//31xe1paGjw9PZGTk4NevXqhf//+eP78OVJSUhAcHIxRo0aJ0zE8f/4c3t7eiI+PR/v27eHi4oLs7GysX78ecXFxVSqfULaePXsq7OvVq5dcGm1JS0vD3r17kZWVhbp168La2lplkLu841m7di3Onj2LKVOmVEtZpVIpvLy8IJVKYWdnh549eyIvLw9RUVH4/PPPsWjRIgwdOlRMP2TIEPz999/Yv38/nJ2dFfLbv3+/mK4qow6FYIabmxvq1auHPn364NixY4iLi6vQYoGa/p74+/vj+PHjcHBwQOfOnXHlyhWEhYXh+vXrCAoKUvpb/vXXX+Pff//FgAEDoKenh8jISKxatQpXr17FunXr1Hqfrly5grFjx+LZs2dwcHBAmzZtcOvWLYSEhCAyMhLbtm2DlZVVpY7JxMQEkyZNQkBAAKRSqdw1iyamfUhJScHw4cPx3nvvYdiwYUhPT0dYWBjGjRsHPz8/pefRy4Sp8wDAyckJTZo0QXx8PPbs2YPIyEjs2bNHDHhOmjQJERERuH79OkaPHg0TExMAQO3atct8DTc3N9SuXRuRkZFwdHREu3btxH0mJiYYPnw4Nm/ejL179+KTTz5ReP6ff/4JQPnIpZ9++glxcXH4+OOPUbt2bURHR2P79u2Ii4vDnj175ALO8fHx8PHxwZMnT9CjRw/0799fDCqOGDECa9aswUcffVTue1bdli9fDolEgg4dOqBx48bIzs7G2bNnsXjxYvz7778qpzhU9724fv06hg4dCh0dHTg4OKBp06bIycnBvXv3sGfPHkydOhX6+voVLndFzveCggL4+PggLS0NvXr1gq6uLiIiIuDn5weZTKb0+v7evXsYOnQoWrRoARcXF+Tn56NWrVoAKl7fzp07F6GhoXj//fcxePBg1KhRA2lpaTh//jxOnjypEER++vQpPv30UxgYGMDJyQnPnz/H0aNH8c0330AikSisUTVr1iyEhobCzMwMnp6e0NHRQUREBBYuXIjz58+rXPeotMzMTAwfPhzJycno1KkTOnXqhPT0dCxYsAAffvhh+R/If6Ss39pmzZqhRYsWuHPnDpKTk9G8eXO18urRo4fC6PxatWrB1tYW0dHRuHz5sjgiQ1i36ty5c8jPz5db7+Pvv/8GgCqP3ijP1atX8ccff8Da2hpDhgzB/fv3cezYMYwZMwaBgYFo1aqVmFYmk2HChAk4ffo0zMzMMGjQINSqVQtSqRQRERHo1KkTWrRoUemy/Pvvv/j888+RlZWFzp07o1+/fsjPz8fNmzexevVqTJw4US69TCbD6NGj8eTJE3z44YeoVauWWOcL5/3NmzdhZWUFb29vZGZm4siRI/Dx8cH333+P4cOHi3n9+uuv2LBhA5o2bSrWQ+np6fj3338RHh4u/iZpqg5S9/WAitf/6n5Oo0ePRmRkJGJiYuDm5lah3/YVK1Zgw4YNqFevHgYNGgRjY2OcPHkSK1asQHR0NLZs2aLwPlSm7tSkwMBA/PPPP+jduzc+/fRTpKenVym/X375BZs3b0b9+vXh4OCAevXqIT4+Hhs2bEB0dDR2795dLVObJiUlYdSoUcjIyECPHj3g6uqKlJQUHD16FH///TfWr18vV2/k5ORg1KhR+N///gcrKyt88sknyMrKwooVK6q0bmNpN27cQEZGBj744AOla3T06tULCQkJOHv2rMZnASgoKMCCBQvQsWNHdOnSBQ0aNMDjx4/x999/Y8qUKZgzZ45ao7V/+OEH7NmzBy1atBDP6bS0NFy6dAnHjx+XC4LHxcVhwoQJyM3NxUcffQQnJyc8fvwYf/31F06cOIHNmzdzEfM3FAMcpDUSDU5RVZG1Ncpy+PBhREZGYuvWrWUuWifsU9WTU9he0YXviOjVFBMTg8mTJ8td3A8aNAiff/45Nm/erNYFqFQqxZkzZ2BkZITOnTtXqTx3795FcHAwioqKxIvEtLQ0TJgwQa5R/ujRo8jKysI333wDb29vuTxyc3PlbvL/+OMPxMfHY+DAgfDz8xMbcL/88ssKLQKuzO3btwFA6Y11o0aNYGxsjNTUVOTl5WltHYVTp07h1KlTctvs7e2xdOlSuekjcnNz8fDhQxgbGysdRSIs0qeJnpKq+Pr64v79+1ixYgUGDhwobn/69Cm8vLzw448/wsHBAQ0aNAAA9OnTB40aNcKZM2eQnJyMZs2aic+RyWQICgqCnp4ePDw8Kl2m58+fIzg4GLVr10a/fv0AvGh8PnbsGP78888K3UgIPZeVNWpVxsmTJ3HgwAG5Xo8zZsxAaGgoIiIilDbW37p1C4cPHxZH6EybNg2jR49GVFQUgoKClDaWl1ZSUoI5c+YgJycHy5Ytg6urq7gvLCwM06ZNw6xZsxAWFqZ0KszymJiYYPLkyYiJiYFUKtX41A+xsbHw8fGRWxtn5MiRGD58OBYsWIBevXqJDcDKPHv2DL6+vigqKsLOnTvlPv+NGzfCz88P3333nbhI5eTJkyGVSnH9+nV4e3urvci4MGVfZGQk+vbtqzCFn4mJCXr16oW///4biYmJcufAs2fPxIZiIdBa2oULFxAYGCg2Ks2YMQNff/01jh07hj/++ENszCssLMTUqVORm5uLHTt2yM0z/vDhQ3h6euLbb7/F8ePH1VorYNu2bcjOzlbr+IEXo6GUrR+kzMaNGxUagouLizF37lwEBgZi1KhR6Nixo8Lz1H0vAgMD8fz5c6xZs0ahTE+ePKl0/V6R8z0tLQ1t27aVu5afNGkSnJycsG3bNkyYMEGhYe/8+fOYMGECpk+frpBfRerb7OxsHD58GB988AH279+vEKRV1tv/+vXr8PT0xKJFi8T0Y8aMgaurKzZt2iT3+xsaGorQ0FC0b98eu3btEnvvTp06FaNGjUJoaCh69+4NFxeXMt/PFStWIDk5Gd7e3vjmm2/E7cJ3vCKePn2K7du3V+g5ffv2lQtGqlLWtYOw/c6dO7h9+3a5AY5bt26Vmde7776L6Oho3L59W2x8fP/99zFmzBhs27YNH3/8MXr37o2aNWvi5s2bOHnyJAYOHIipU6eWexxV8ffff2PJkiVyddvevXuxYMEC7NixA99//724ffXq1Th9+jT69OmD33//Xa6+kclkKkefqUMmk+Hrr79GVlYWli9frnCOKVsLLT09HW3atMGuXbsU7tWXL1+OmzdvYtiwYVi4cKF4zTlu3Dh4eHjgxx9/RI8ePcTfgj///BONGzdGaGioQj2SkZEh/q2pOkjd16tM/a/u5zRmzBhkZ2eLAQ51Fxm/ePEiNmzYADMzM+zfv19s0J4xYwYmTZqEqKgobN68WW7kIlC5ulOT/vnnH2zbtk1hrY7KEI6xa9euWLNmjdz1irAm4IYNG6rl+ztv3jxkZGQo3HudPn0aPj4+mDVrltz5sG7dOvzvf/+Dp6cnFi9eLKYfP358le+/BOXVpZW9dzl16pTStXCHDh0qrgujr6+PiIgIuXsP4EXnvNGjR+P333+Hh4eH3Ij4lxUWFuLAgQNo0aIFQkJCFK6lSn8n8/LyMHXqVBQXF2Pfvn1yHYmSk5Ph6emJuXPnIjw8XOMdDkn7OEUVac2rNkWVTCYTL6bMzc1x9+5d8QG8GI1x9+5dPHr0CHXr1oWRkRFSU1OV5pWamgpjY+MyK2oien2Ym5vjyy+/lNvWs2dPNGnSRK3hvDKZDDNnzhR7QFW1brh79y5Wr16NdevWYd++fcjMzMTs2bMxbdo0pemVBVuNjY3ltgcGBkIikWD69OlyvdPNzMwUgiMVJdysqeqNLdx4VKRRT1OMjIzw1Vdf4dChQ4iNjUVsbCx27dqFLl26ICYmBmPGjJG7eBfKqOpYhO1Pnz6tlvJev34dMTEx6N+/v1xjG/D/jYBCD2CBrq4uPDw8UFJSggMHDsg9JyIiAhkZGejTp4/SXl3qOnLkCJ48eQJnZ2fxvOrVqxcaNGiAo0ePqj1l465du3Dy5Em0a9euSgGX0pRN/zFkyBAAL3qkKvPll1/KfU8NDQ3Fxk915ii+cOECbt26BRsbG7ngBgA4OzujU6dOuH37Ns6fP1+hY/mv1K5dW6E3rpWVFVxcXPD06VP89ddfZT4/MjISWVlZcHZ2Vghu+fj4wNzcHKdOncL9+/c1XvaXffrppwCgMF1aSEgIcnNz4enpqfQmd/To0XI9ZiUSCWbPng2JRCJ3Dvz999+4d+8eRo0apdAw07hxY3z++edIT0/HmTNn1Crvjh07sHr1arUfqqaeU0ZZI7BEIsHo0aMBvAgGKqPueyFQ9ptTp06dSgXzKmPevHlyZahfvz4cHR2RnZ0tNvSU1qBBA6W9kyta3+ro6KCkpAQGBgZKj/XlBayBF79Bc+fOlTsH27RpA1tbWyQlJck1Sgvv9YwZM+SmJjE2NhanbBJG5KlSUFCAkJAQ1KxZUyFQJHzHK+Lp06cVOl9Xr16Na9euqZW3Jq8dystL2P5yXnPnzsXChQuRkZEBf39/bNq0CVFRUbCwsMAnn3yisU52qtja2ioEbj08PKCnpyd3/VlUVAR/f3/UqFEDCxcuVGgANDAwqNLCv1FRUZBKpXBwcFB6jpiZmSl9nq+vr8J7VFBQgODgYBgbGytcc7Zo0QJeXl4oKChQmFpQT09PaV2t7Lg0UQep83oVrf+r+3MC/r+e+PLLL+Wu6/T09DBnzhxIJBKV9URF605NGjhwoEaCG8CL31EAWLx4sUJnjFGjRuHdd99FSEiIRl6rtFu3buHChQto2bKlwvSJ3bt3h6OjI9LT08URYMCL+y99fX2FYEvz5s0xYsQIjZRLqNdUdUxRVf+V59SpU0rr+NLTkEokEoXgBvDit2/YsGHIy8tTe6YAAwODcr+T4eHhSE9Px/jx4xVGSTdr1gxeXl64d+8eLl++rO5h0muEIzhIazQ5RZUm5OfnIyMjA9HR0ejfv7/C/osXL6J///5wcXHB8uXLYWlpidjYWEilUrmbPplMhoSEBFhaWnKBcaI3RNu2bZVeUJmamuLSpUtlPreoqAizZs3ChQsX4OzsrJHF2Hr16oXExEQUFBTgwYMHCA4Oxq+//orY2Fi53mAODg5YsWIFFi1ahOjoaPTo0QO2trZo06aNXP0kDN83MzNT2nO6U6dOVS5zWYS5faujzjx37pzCWg7m5uZig0H9+vXx9ddfy+3v3LkztmzZghEjRuDy5cvYv39/hYM81VX/C1My5uTkyM1lLRB6MQm9VQVDhgzBhg0bcOjQIUyZMkU8n4WAR+kpVipDaDwu3RCjp6cHFxcXbN26FUFBQWIjqirHjh3DTz/9hIYNG2LVqlUa6ymobBoooTFGVeBF2U22nZ0d9PT01GqcS0hIAACVPS67du2K8+fPIyEhocojuqpD+/btld4I29vbIyAgAAkJCWX2LBSOX9noNj09PXTu3BlSqRQJCQnVvsBur1690LRpUwQFBWHmzJlib1xhPmoh2PUyZedAs2bNYGZmBqlUiqdPn8LExET8Dbh//77S76TQIzIpKUmtaaqOHz+u7qFVWGZmJjZv3owTJ04gJSVFoefly2ujCNR9L5ydnbFjxw5MnDgRTk5O6N69O2xtbcvtXa9JtWvXFnujliasm6cs+Ny2bVulo2sqWt/WqlULffr0QVRUFAYPHoz+/fuL6yao6jn+7rvvKv2uCeXNzs4W9yckJEAikSj9PDp37gxdXd1y66dbt24hLy8PdnZ2Shv7he+4upo2bYrExES101cHTfzeKrsOKSkpweLFi+Hv74+pU6fC1dUVtWvXxrVr17BkyRKMGzcO3333ncKaHppkaWmpsE1fXx/169eXO5dv3bqF7OxsdOzYUew5rUlCPadstJsqhoaGCp0LgP8/B21tbZWuP9a1a1esW7dO7lx2cXHBzp07MXDgQAwYMACdO3eGjY2Nwjmsbh107do1heBw7dq1MWbMmAq9XkXr/+r+nICyf39btmwJU1NTpKSkiPW2oDJ1pyZpcmqkS5cuwdjYuMy6LCUlBTKZTK2RleoS3nt7e3ulwbSuXbsiIiICCQkJ6N+/P9LS0vDo0SO0bt1aaSej6r7/ElT2Pmz27Nlq3dfevXsXmzZtQkxMDFJTU/H8+XO5/crWxCtNT08Pzs7OCAoKwqBBgzBgwADY2dnB2tpaYR0S4Xf79u3bSr+TN27cAPDiO2lra1tu2en1wgAHaY2uBqeo0gQjIyP89ttvSvd9/fXXeP/99zFx4kTxRnzw4MGIjY3F1q1bMW/ePDHt3r17kZubq9Bjk4heX6VvAErT09Mrc1FPIbgRHh6Ojz/+GMuWLdNow7e+vj6aN2+OSZMmwcDAAH5+fti5c6d4sWlubo4DBw5g1apVOHnyJI4dOwbgReOuj4+P2OAs9GysX7++0tdRtV1dtWrVQmZmJrKzs5X2YBUW+ytrypvKiomJERdpFNjb2yv0iHyZnp4ehgwZgsuXLyMuLk4McJTXy6m8ER5VlZWVBUD5lFqlvdxwaW5uju7duyM6OhonTpyAg4MDUlJScPr0aZibm4uL1FdGUlISzp8/j1atWsHa2lpun7u7O7Zu3Yr9+/eXGeCIiIjA9OnT8c4772DHjh1Ke3tVlrLPQgjwqPr+CtN7vfycunXr4vHjx+W+pnAeKJvGDIB4I6uNUUvqUHb8pbeXN9WJcFyqRgX9l8cvkUgwbNgw+Pn5ISwsDB4eHrh69Sri4+PRt29flY1Mquq9Bg0aQCqVIjs7GyYmJuJ3Mjw8vMxyKJvG4b/09OlTeHp6IiUlRVxUuk6dOtDT08PTp0+xY8cOlVOvqvtedOjQAbt378b69etx9OhRBAUFAXjRqDZp0iQMGjSo2o5PUNbvNfDid/llqs73ytS3K1euxKZNmxAaGio2rhgaGsLJyQlz5sxReK2KlDc7Oxt16tRR2iCnp6eHevXqlVs/Cd+5sj7TV0V5IzSEekida4fK5BUQEICdO3dizJgxGD9+vLjdzs4O69evR9++fbF8+XJ88sknai/2W1HqXn8Kjc/V1WguvG8Vyb9+/fpKr3nV/X0o3aA+d+5cNGvWDAcPHsTGjRuxceNG6OnpoVevXvD19RUb5tWtg65du6ZwbWhubi4GONR9vYrW/9X9OQHqvb/3798X621BZepOTdJU3SOTycT3++XP+GXPnj3TaICjotd+5dXHVb3/EgjXwaqu3SpSl1bUjRs3MHz4cOTn56NLly7iFKe6urq4desWwsLCVF57lPbjjz+iTZs2CAwMxNq1awG8uA92dHSEr6+v2HFJ+E4K331VtH1NRtWDAQ7SmldtBIe+vj4GDBigcn/9+vXl9ru7uyMwMBA7d+5EdnY27OzskJiYCH9/f9jZ2ZXbeEZEb7bCwkLMmDED4eHhGDRoEH755ZdqneuzV69e8PPzQ0xMjFxvmtatW2PlypUoLCzE9evXcfr0aezatQuLFy+GkZERhgwZIl7QqmoYUadBtywtW7ZEZmYm7ty5oxDgSEtLQ25uLkxNTatl/Y3JkydXen0CoaylL4KNjY3RuHFjPHz4EGlpaQo3McK0hlVZyLMswk3Kt99+W+6IiJcNGzYM0dHR2LdvHxwcHHDgwAGUlJTAw8OjSlPHCAs137p1S2lvTeDFDc6FCxeU9pY6cuQIZs6ciQYNGmD79u3V9t5VxKNHjxRGFhQVFSErK0utG0Dhc1K1SKawvXReQkOQskaE/zoQ8ujRozK3l/ceqHv81RUIfJmnpydWrVqFP//8Ex4eHmUuLi54/Pix3AK+AuE9EMou/Lt27Vq5RS4rq7rW4Ni/fz9SUlIwadIkhTrx4sWL4pQeyqj7XgCAjY0NNmzYAJlMhqtXr+LkyZPYtWsXZsyYgXfeeUdhke1XgaqOB5Wpb2vUqCH+7jx48ACxsbEICAhAcHAwpFIp/P39K13O2rVr48mTJygoKFAY4VZYWIjMzEy1v5uqftdVffdVqc41OFq2bAlA9bzwwnYhXVmE81dVXsJvd+m8hGlklI3Ea9iwIVq1aoWEhATcvn1b6UiL/5LQOF1eT+jKEs6biuRf3vdK1bmm7PdBV1cX3t7e8Pb2xuPHj3H+/HkcPnwY4eHhuHnzJg4fPiw2VKtTB7m7u5d5r67u61W0/q/uzwmQf3+VjZ77r39/1aXqfBGuTwsLC5Xuf/n30sDAAAYGBqhfv77cVFD/hYpe+1X3/ZegvLq0Ou9dNm7ciGfPnildF8ff3x9hYWFq5WNgYIDx48dj/PjxSEtLQ1xcHIKDgxEeHo7bt28jKCgIOjo64mewa9euV3KENFUvBjhIayQ6r1aAo6J0dXWxceNGrFmzBkeOHMHhw4fRsGFDjBkzBhMnTuSiRURvMZlMhqlTpyIyMhKffPIJlixZUu1zjws3S6rqHj09PVhaWsLS0hK2trYYOXIkIiMjxQBHs2bNIJVKkZKSojBNVVXXCejatSsuXLiAkydPwsbGRm7fP//8I6Z51Qjzs748mqBr164ICgrCyZMnFdaJqO7jERYAjouLq3CAw8HBAQ0bNsQ///yDBw8eICAgALq6uvD09Kx0eYRFyiUSCdzc3JTeoKampiI6Ohr79+9XCHCEhIRgzpw5aNy4scZHblRFTEyMwkLicXFxKCwsVKthTkjz8vRopfMHgA8++EDcJqz58eDBA4VpIlStFSLUK0VFRRq97khISEBOTo5CY6lQ7vbt25f5/NLH//IUUIWFhWKdUjof4VjKGhWnTOn3QJV33nkHTk5OCAkJwfnz5xEaGlruyKWYmBiFm+Pk5GQ8ePAA5ubmYkNV6e+kJgIcO3bsgFQqVTu9m5ubWgEOoQFD2TSssbGxZT5X3feiNAMDA9ja2sLW1hbvvvsu5syZg8jIyCoFOKrrfFelKvUt8GK0pKurKwYNGoSPP/4Y58+fR2ZmptKRjOpo164dzpw5g7i4OHEhbEFsbCyKiorK/W62atUKRkZGuHbtGrKzsxUaOVXVWaoIa3BUhLm5uVr1aNeuXbF+/XqcPHkSEyZMkNuXnJyMO3fuwNzcXK3fDSFIER0djeLiYrlrspycHFy4cAE1atQQP3MAYq/i0gvYliZsr86Fl9XVqlUrmJiYIDExEQ8fPtT4CAFhdOY///wjrmtUWS1bthTPwSdPniisS3fu3DkAqn9n6tevj/79+6N///7w9vbG2bNncePGDYUgk6bqoLJer6L1f0U/p8r8LrZr1w7x8fE4d+6cQoDj7t27SE1NRdOmTVWO2HjVCOVUtvZpRkYGpFIpDA0N5bZbW1sjJiZG6T1NdRLqtdjYWJSUlChcEwvntnDt17hxYzRo0AD37t1Denq6wqgbTa3T9v777+Odd97B9evXlb5Odd673Lt3D3p6enBwcFDYV961hyqNGjWCs7MznJ2d4e7ujvj4eCQnJ6N58+awtrbGgQMHEBcXxwDHW+j1bmGm15qOjkRjj+qWmJiIbdu2KWyvWbMmZs+ejaioKFy9ehVRUVGYPXt2tQ1TJqJXn7CQeGRkJDw9PTUa3IiLi0NBQYHC9oyMDCxfvhwA0Lt3b3H7lStXlPaQE7aVXkjwk08+QXFxMVasWCHOxQq8aGytaO/Ml7m7u8PAwAC7d+9GSkqKuP3JkyfYsGEDAGD48OFyz8nOzkZSUpLKOeE15fLly0qHRp85c0as91+eclAo6/r16+XWcEhJSYG/vz8MDAwUegZmZGQgKSlJZUOJuqysrGBnZ4e//vpLYcFwQWJiotJeX3p6enBzc0NRURFmzpyJ1NRU9OrVq0oNIUePHkVWVhZ69OiBn376CYsXL1Z4/PbbbzA2NsaRI0fketoFBARg9uzZMDMzw65du9RqpEpKSkJSUlKly6uudevWyX22z58/x4oVKwBAIah1//59JCUlIS8vT9zWqVMntGzZEufPn1eYuiI8PByxsbFo0aKF3PzKwvzTLy/+mZiYqLJ3vTB/uarFug8dOgQLCwv4+vqWebwvy87Oxpo1a+S2/fvvvwgJCUHt2rXRr1+/Mp/ft29f1K1bF4cPH1ZYp2j79u1ITk5G9+7d5UbJlHcsqgiNxQ8ePCgzndAoN23aNOTm5mLYsGFl1s0vBxqKi4vxyy+/oLi4WO777ejoiObNm8Pf3x8nTpxQmtfFixflzo+yHD9+HImJiWo/fv75Z7XyFRp5Xm7ATkhIEOthVdR9L+Li4pSOPhHqo5cX/rWwsFA56kuZyp4jlVXR+jYjRp4TvAAAIABJREFUI0PpwqW5ubl49uwZ9PT0qtQYLtQ9fn5+cudTXl4e/Pz8AKDcgLW+vj5cXFzw7NkzhfnJhe94RQhrcFTkoe4od3t7e7Ru3RqxsbGIjIwUtxcXF2PZsmUAXvwel25ELCgoQFJSEu7duyeXV/PmzdGjRw9IpVLs3r1bbt+qVauQm5uLwYMHyy2ILdTPykZV7dmzB6mpqWjYsCHatGkjt6+i57Um6OrqYsSIEcjPz8eCBQsUrmtkMpnc9UdeXh6SkpLU/i716dMH5ubmOH78OEJDQxX2V2REgoGBAVxcXJCbm4vff/9dbt+9e/ewc+dO6OvrY/DgwWLZz5w5I3dtCrz4rIXfaWEEcEXrIGUq8noVrf8r+jlVps4T6ol169bJ5VVUVISlS5eiuLi4Sh1b/muNGjWCqakpzpw5g+TkZHF7QUEBFi9erLRzgzDV2DfffKP0ejgnJwdXrlyR27Zr1y5YWFhg0aJFlS5r69atYWNjg6SkJOzdu1du39mzZxEREYGGDRvKrcfl6uqKgoICrFy5Ui59cnJylUb8laarq4uhQ4eiqKgIfn5+cud2SEgIEhIS8MEHH2h0HRSBubk5CgsLceHCBbnt4eHhOHLkiFp55OTkKF2I/Pnz5+L0WkKQa+DAgWjYsCH++OMPMaBUWklJidghgN48HMFBWvOqTVFFRKQJCxYswIkTJ1CvXj00btxYoZEQeHHTrmrx4bL88MMPePToEWxtbWFmZgZdXV1IpVKcOHEC+fn56Nu3r1zja0hICPz9/dG5c2c0b94cderUwb179xAVFQUDAwO5hbM///xzRERE4PDhw7h9+zY+/PBDZGdnIzw8HHZ2doiIiKj0+iHNmjXD7Nmz8eOPP8LDwwPOzs7Q19fH0aNHkZqaCh8fH4WRHX/99Rfmzp0LNzc3hQa8jRs3iou6CotQHjx4UOzp1KlTJ5ULB79s+fLl+N///gd7e3txIcXExEScPXsWwIs1mF4edWBra4uxY8di69atcHV1hZOTEwoKChAWFoasrCzMnz9focfY7t27sXr1aqXTwyxduhSZmZkA/r+31ubNmxEcHAzgRWNx6R7afn5+8Pb2xrfffoudO3eiY8eOqF27NlJTU3Hjxg3cuHEDf/75p9K5e4cOHYpNmzaJNwplTdGjDmFx8bLe71q1amHAgAE4dOgQgoODMXLkSJw9exbffPMNiouL0aVLFxw6dEjheaUX/BQ4OzsDQLUvatuqVStxcVE9PT1ERkbi3r176N27t9joIpgzZw5iYmKwY8cO8Xuto6ODpUuXYuzYsZg2bRpCQ0PRqlUr3L59GxEREahZsyZ++eUXuQZ2R0dHtGjRAqGhoUhNTUWHDh3w4MEDREZGwtHRUemNYLdu3RAeHo7Jkyfjo48+gqGhIZo0aSKOPhF6fVa0t3vnzp1x4MABXLlyBba2tkhPT0dYWBiKi4uxaNGicqfBqVmzJhYvXoypU6di1KhRGDBgAJo0aYL4+HhER0ejYcOGCo0I3bp1w+bNmzF//nw4OTnB2NgYJiYmGDVqVJmvZW1tDSMjo/9j787DvKzr/Y+/vgzDPiwCoiFYoIYoWFpKx50kNhfsZx6V8OSSuOaCebQo7Vea51daWmnmholpqEgiuWF6BEUkDyqmaGmaiagHFwSFYfn+/ijnkkAFZvl6w+NxXV2X873vuT9vYJiGec59f3LNNdfkrbfeqvu4HzVq1Co/nb7TTjulT58+mTt3bqqrq1cLVf9qxx13zIgRIzJ06NDU1NRk+vTpmTt3brbbbrt8/etfrzuvuro6P/vZz3L00UfnmGOOyWc/+9lsu+22adWqVebPn585c+bkxRdfzPTp0xvlMXxr64ADDsiVV16Z8847LzNnzsyWW26ZF154Iffdd18GDRr0oY+JWNvfi6uuuioPPPBAdt555/To0SNt2rTJX/7yl9x///3p0KHDKp9v3vsGy7p8bH7Ux3tjWJfPt6+88koOPvjg9O7dO3379s3mm2+eRYsW5b777strr72WUaNG1esZ5/vtt1/uueee3H777Rk+fHj22WeflEqlTJ06NX//+98zdOjQtdoD8NRTT82MGTNyzTXX5IknnshOO+1U93d8jz32aNSN7tdFVVVVfvjDH+Y//uM/cvLJJ2fw4MHZfPPNM2PGjDzxxBPZcccdV/v/iFdeeSXDhg2r+2b8+5199tk55JBD8oMf/CAzZsxI796989hjj2XmzJn55Cc/mVNPPXWV8w877LBMnjw5Tz/9dAYPHpyBAwempqYmTz75ZB566KFUVVXlu9/97iofw+vzcd1QTjjhhDz22GO59957M3jw4Oy1115p27ZtXn755TzwwAM544wz6uLS448/nsMPPzw777xzrr322o+8dosWLXLRRRflqKOOypgxY/Lb3/42O+ywQ5YuXZrnnnsuM2bMqNtgeW2MGTMmf/zjHzN+/PjMmTMnu+yyS954443cfvvtWbx4cb7zne/U/dDDkiVL8rWvfS3du3fPDjvskE984hNZunRpHnzwwTz77LMZOHBgevfunWTdPgd9kHVZb30+/6/Ln9OAAQPSrFmzXHjhhfnzn/9cdzfD8ccf/4Hz77jjjjn66KNzxRVXZN99983gwYPTunXrTJs2Lc8880x22mmntdoY+uPkqKOOyrnnnpuvfOUrGTx4cKqqqjJjxoxUV1enV69eq93d8cUvfjHHHXdcLr300gwaNCi77757tthiiyxatCgvvfRSZs2alT333HOVwLa+Xy/9qx/84AcZOXJkzjnnnPzhD3/Itttum5deeil33nlnqqurc/75569yx8kJJ5yQ++67LzfddFOeeeaZDBgwIG+++WZuv/32uk3J//WHMWpra/Pd73637u33fgDh3HPPrYt4I0eOTL9+/erOGT16dKZNm5Zbbrklzz//fD73uc/l73//e+666660a9cu5513Xr1+3R9k1KhRufPOO3P00UdnyJAh6dSpU+bOnZsZM2ZkyJAhaxU53nzzzYwcOTJbbrll+vXrl8033zzvvvtupk2blhdeeCEjRoyo+2GtNm3a5Oc//3lGjx5d9znu05/+dJo3b56XX345jz/+eObNm5fHH3/cE1c2QAIHFdOQG+0CfFy8d4fCG2+8sca4kSQnnnjiegWOI444Ivfcc0+efPLJTJ8+PcuWLUvHjh0zYMCAHHDAARk6dOgqn1v33Xff1NbWZvbs2XnyySezZMmSdOvWLcOHD88RRxyRbbbZpu7cVq1a5de//nUuvvji3HHHHRk3bly22GKLjB49ui5w1OcbM6NGjUr37t1z1VVXZdKkSSmXy+ndu3dOOeWUHHjgget0rWnTpq32U8izZ8/O7Nmz695e28Cx//77Z+rUqXXPaV62bFm6dOmSoUOH5qtf/Wo+97nPrfH9zjzzzHz605/O+PHjM2HChJRKpWy33XY56qijsvfee6/Tr+fOO+9c7ZE006dPr/vv7t27rxI4Nttss9x8880ZP3587rrrrkyePDkrVqxIly5dstVWW+WrX/3qKn+279ejR4984QtfyIMPPpjNNtsse+yxxzrN+n7PP/98Hn744XTu3Pkjf81f+cpXMnHixEyYMCEjR47MvHnz6v4xefPNN6/xfd6/4WdTu+iii/KLX/wikydPzquvvppu3brlpJNOyjHHHLPWX7/ssMMOuemmm3LppZdmxowZuffee9OpU6cMHz48xx9//Gp7GrRs2TLjxo3Lf/3Xf+XBBx/MnDlzsvXWW+eCCy5Ihw4d1viPwK985SuZN29epkyZkiuuuCLLly/PzjvvXPcN32eeeSbJP36ibV1sscUW+d73vpcf//jHueGGG1JbW5u+ffvmhBNOyO67775W19hnn33ym9/8JpdddlmmT5+eRYsWpUuXLjnkkENy/PHHr3bn0O67754zzzwzEyZMyLhx47Js2bJ07979IwNHhw4dcvHFF+cXv/hFJk6cWLdnzv7777/a43e+/OUv57zzzsvAgQM/ckPTb33rW7n77rszYcKEvPTSS+nYsWMOP/zwnHzyyas9DqNPnz753e9+l6uvvjr33XdfJk6cmGbNmqVr167p27dvTjrppPV+LFFD6datW6677rr8+Mc/ziOPPJLp06enV69eOfvss/OFL3zhQwPH2v5eHHbYYenQoUMee+yx/M///E9WrFiRbt265bDDDssRRxyR7t271537XqR8L1qujY/6eG8M6/L5tnv37jnppJPy8MMPZ+bMmXnjjTfSsWPHfOpTn8qYMWPW+e/hmlx44YX5/Oc/n5tvvrluL5nevXvnyCOPXOtHB22yySa5/vrrc+GFF9bdhf6pT30q55xzzhrDQCW993n04osvzvTp07N48eJ07949J5xwQo455ph12iC4Z8+eufnmm3PxxRdn2rRpuf/++9O1a9eMGjUqJ554Yt1Py7+nbdu2uf7663P11Vfn7rvvzm233ZZly5alU6dOGTJkSI466qjVfuJ5fT6uG0qLFi1yxRVX5IYbbsikSZPqvtbadNNNM2jQoFXuGFwf/fr1y6RJk/KrX/0q999/f2bPnp22bdumZ8+e67zXWceOHfPb3/42l112We6+++5cffXVadWqVfr375+jjjpqlccHtm7dOqeffnpmzpyZ2bNn1/2QQM+ePXPOOeesEqvX5XPQB1mX9ZJ1//y/Ln9OvXv3zvnnn5+rrroqv/nNb7J06dIkHx44kuSb3/xm+vbtm/Hjx2fSpElZvnx5evbsmVNOOSVHHnlkg26s3RQOP/zwVFVV5dprr83NN9+cjh075ktf+lJOPfXUVX5Y6/1OOeWUDBgwIOPHj88f//jH3HPPPampqclmm22Www47bLUYvL5fL/2rrbbaKhMnTswll1ySadOmZcaMGWnXrl0GDhyY4447brXH87Vr1y7XXXddLrrookydOjXjxo1Ljx49csopp2Srrbaq+/h7v2XLluWWW25Zbe33f5241157rRI42rRpk2uvvTa//OUvc/vtt2fcuHGpqanJ0KFDc9JJJzXa/nc77rhjrrzyyvzsZz/L1KlTUy6X07dv31x++eVZunTpWgWOzp0759RTT83MmTMza9asvP7662nfvn223HLLjB49erWvAT7zmc/k1ltvzVVXXZX//u//zmOPPZaqqqpsuumm+exnP5tvfvObhfs7wNoplf/13jtoIq8vXfPmS+tjk5ZdP/okANbLhAkT8p3vfCff+973VnuUFGxIRo0alYcffrjR7xBpKgceeGCqqqo+8PE6/+rvf/97vvjFL67xzqkNwZlnnplbbrkl48aNW20Pg38955577mnSZ3dvbH7961/nvPPOy+TJk7P11ltXehxoED6uoZgGDx5ctx/cx8W4cePywx/+MD/60Y/W6u482Nh5RhAV06zUrMH+15DuuuuuHHzwwfnMZz6Tz3/+8zn22GMzd+7cBl0D4ONoTc9Qfvnll3PJJZekefPm63xnAlA5b7/9dubOnZtjjz220qN8LLz88suZMmVKevfu3SgbabJuZs2alYEDB/omMBsUH9dQPK+99lqef/75in29tKZ/f/3tb3/Lr371q7Rs2XKt75yFjZ1HVFExDR0mGsKNN96YsWPHZptttsnpp5+e2trajB8/Poceemiuv/769OnTp9IjAjSab3zjG1m2bFm233771NTU5KWXXsp9992Xd999N2PGjKnXZtRA06qpqanbo2ZjNnny5Dz//POZMmVKamtrc/LJJ3tM6sfAv25wDRsCH9dQPF27dq3onbtHH310WrdunT59+qSmpiYvvvhi7rvvvixdujRjx46t+CMuoSgEDiqmlI/XPy7feuutnH/++dlss81y/fXX1z1rftiwYRk2bFi+//3v57rrrqvwlMCGZOrUqWv1Dcju3bvXbTjYmPbff//ceuutufPOO7No0aK0adMm/fv3z1e/+tV86Utfqjvv4zY3DWvixImr7QmyJttuu+0qe4PAx9GECRMya9asbL755jnrrLMyePDgSo8EAJDkH/uDTZkype7fX23bts3nPve5HH744dlrr70qPR4Uhj04qJjFyxc22LVKtWvX6tq0afOBxyZOnJizzjorJ510Uk488cRVjn3729/OTTfd5HnMQIN671nvH2XnnXfOtdde2wQTrZ2izs3aeW8fio+yoe7TAAAAQHEIHFTMO8sXNdi1PrvdTmt13ofdenj22WfnhhtuyFVXXZVdd911lWM33XRTvv3tb+cnP/lJhg0bVq9ZAQAAAACoP4+oomLaNG9X6RFW8d7mTpttttlqx957bU0bQAEAAAAA0PQEDjYIs2fPrvc13n333SRJixYtVjvWsmXLVc4BAAAAAKCyBA42CB+2t8baat26dZKktrZ2tWNLly5d5RwAAAAAACpL4IB/6tatW5Jk/vz56d279yrH5s+fv8o5G6K/fO2QSo+wzsaObdVo1975T1c32rUb22kHlFZ5e8mKdyo0CQAAAAAbglZV9f8B88bQrNIDwMdF//79k6z5cVfvvdavX78mnQkAAAAAgDUTOOCf9tlnn7Rt2zY33nhjFi1aVPf6/Pnzc/vtt2ennXZKjx49KjghAAAAAADvETjgnzp06JD//M//zPz583PooYdm/Pjxufrqq3PYYYelXC5n7NixlR4RAAAAAIB/sgcHvM+///u/p0OHDrnyyivzox/9KNXV1dlpp51y6qmnpk+fPpUeDwAAAACAfxI44F8MGTIkQ4YMqfQYAAAAAAB8CI+oAgAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACkfgAAAAAAAACqd5pQcA2NiMnj+2kVc4d5W3Wh/Wr5HXg4JYsqLSE8DHxv9OmFnpEeBjo23zmkqPAADAenIHBwAAAAAAUDgCBwAAAAAAUDgCBwAAAAAAUDgCBwAAAAAAUDgCBwAAAAAAUDgCBwAAAAAAUDg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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, xDim = 'LM', sumDims = 'Eke',\n",
    "                                               plotDims = ('Total','Cont','Targ','m','mu'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10),\n",
    "                                               cmap = 'Greens')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>l</th>\n",
       "      <th>1</th>\n",
       "      <th>3</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>9</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total</th>\n",
       "      <th>Cont</th>\n",
       "      <th>Targ</th>\n",
       "      <th>m</th>\n",
       "      <th>mu</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">PU</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">SG</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">-1</th>\n",
       "      <th>-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>207.905550</td>\n",
       "      <td>212.622228</td>\n",
       "      <td>17.570951</td>\n",
       "      <td>0.779478</td>\n",
       "      <td>0.020871</td>\n",
       "      <td>0.000572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th>-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>-1</th>\n",
       "      <td>207.905550</td>\n",
       "      <td>212.622228</td>\n",
       "      <td>17.570951</td>\n",
       "      <td>0.779478</td>\n",
       "      <td>0.020871</td>\n",
       "      <td>0.000572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">SU</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">SG</th>\n",
       "      <th>-1</th>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <th>0</th>\n",
       "      <td>220.297545</td>\n",
       "      <td>95.032282</td>\n",
       "      <td>13.737638</td>\n",
       "      <td>0.950270</td>\n",
       "      <td>0.026699</td>\n",
       "      <td>0.000313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "l                              1           3          5         7         9   \\\n",
       "Total Cont Targ m  mu                                                          \n",
       "PU    PU   SG   -1 -1    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "                    1  207.905550  212.622228  17.570951  0.779478  0.020871   \n",
       "                 0 -1    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "                    1    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "                 1 -1  207.905550  212.622228  17.570951  0.779478  0.020871   \n",
       "                    1    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "SU    SU   SG   -1  0    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "                 0  0  220.297545   95.032282  13.737638  0.950270  0.026699   \n",
       "                 1  0    0.000000    0.000000   0.000000  0.000000  0.000000   \n",
       "\n",
       "l                            11  \n",
       "Total Cont Targ m  mu            \n",
       "PU    PU   SG   -1 -1  0.000000  \n",
       "                    1  0.000572  \n",
       "                 0 -1  0.000000  \n",
       "                    1  0.000000  \n",
       "                 1 -1  0.000572  \n",
       "                    1  0.000000  \n",
       "SU    SU   SG   -1  0  0.000000  \n",
       "                 0  0  0.000313  \n",
       "                 1  0  0.000000  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daPlotpd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations\n",
    "- Correlation plots from the Pandas representation with [`pandas.corr()`](https://pandas.pydata.org/pandas-docs/stable/user_guide/computation.html#correlation). This defaults to a Pearson correlation coefficient, but other types of correlation functions can be used. *Work in progress!*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229ffcb6908>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.snsMatMod.clustermap(daPlotpd.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "- Sum over symetries, plot by Eke."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.08224737585639882, with Seaborn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, sumDims = ['mu', 'Sym'],\n",
    "                                               plotDims = ('l','m'), \n",
    "                                               thresType='pc', thres = 0.01, figsize = (15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Eke</th>\n",
       "      <th>0.1</th>\n",
       "      <th>1.1</th>\n",
       "      <th>2.1</th>\n",
       "      <th>3.1</th>\n",
       "      <th>4.1</th>\n",
       "      <th>5.1</th>\n",
       "      <th>6.1</th>\n",
       "      <th>7.1</th>\n",
       "      <th>8.1</th>\n",
       "      <th>9.1</th>\n",
       "      <th>10.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">1</th>\n",
       "      <th>-1</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "      <td>5.546815</td>\n",
       "      <td>5.238038</td>\n",
       "      <td>4.958515</td>\n",
       "      <td>4.707928</td>\n",
       "      <td>4.486077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.823354</td>\n",
       "      <td>11.429458</td>\n",
       "      <td>11.111935</td>\n",
       "      <td>10.849149</td>\n",
       "      <td>10.627257</td>\n",
       "      <td>10.437825</td>\n",
       "      <td>10.275304</td>\n",
       "      <td>10.134910</td>\n",
       "      <td>10.010680</td>\n",
       "      <td>9.893534</td>\n",
       "      <td>9.769350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.143443</td>\n",
       "      <td>7.593716</td>\n",
       "      <td>7.103404</td>\n",
       "      <td>6.660060</td>\n",
       "      <td>6.255712</td>\n",
       "      <td>5.885550</td>\n",
       "      <td>5.546815</td>\n",
       "      <td>5.238038</td>\n",
       "      <td>4.958515</td>\n",
       "      <td>4.707928</td>\n",
       "      <td>4.486077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">3</th>\n",
       "      <th>-1</th>\n",
       "      <td>2.620714</td>\n",
       "      <td>3.416440</td>\n",
       "      <td>4.071325</td>\n",
       "      <td>4.629875</td>\n",
       "      <td>5.118714</td>\n",
       "      <td>5.553100</td>\n",
       "      <td>5.941282</td>\n",
       "      <td>6.287526</td>\n",
       "      <td>6.594077</td>\n",
       "      <td>6.862346</td>\n",
       "      <td>7.093572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.513428</td>\n",
       "      <td>4.719556</td>\n",
       "      <td>5.785863</td>\n",
       "      <td>6.766306</td>\n",
       "      <td>7.695465</td>\n",
       "      <td>8.593950</td>\n",
       "      <td>9.472654</td>\n",
       "      <td>10.335015</td>\n",
       "      <td>11.177359</td>\n",
       "      <td>11.987428</td>\n",
       "      <td>12.741400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.620714</td>\n",
       "      <td>3.416440</td>\n",
       "      <td>4.071325</td>\n",
       "      <td>4.629875</td>\n",
       "      <td>5.118714</td>\n",
       "      <td>5.553100</td>\n",
       "      <td>5.941282</td>\n",
       "      <td>6.287526</td>\n",
       "      <td>6.594077</td>\n",
       "      <td>6.862346</td>\n",
       "      <td>7.093572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">5</th>\n",
       "      <th>-1</th>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.013835</td>\n",
       "      <td>0.021033</td>\n",
       "      <td>0.026999</td>\n",
       "      <td>0.033004</td>\n",
       "      <td>0.039974</td>\n",
       "      <td>0.048709</td>\n",
       "      <td>0.059861</td>\n",
       "      <td>0.073792</td>\n",
       "      <td>0.090524</td>\n",
       "      <td>0.109801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.006473</td>\n",
       "      <td>0.021244</td>\n",
       "      <td>0.032261</td>\n",
       "      <td>0.041993</td>\n",
       "      <td>0.052580</td>\n",
       "      <td>0.065454</td>\n",
       "      <td>0.081763</td>\n",
       "      <td>0.102433</td>\n",
       "      <td>0.127951</td>\n",
       "      <td>0.158158</td>\n",
       "      <td>0.192134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.013835</td>\n",
       "      <td>0.021033</td>\n",
       "      <td>0.026999</td>\n",
       "      <td>0.033004</td>\n",
       "      <td>0.039974</td>\n",
       "      <td>0.048709</td>\n",
       "      <td>0.059861</td>\n",
       "      <td>0.073792</td>\n",
       "      <td>0.090524</td>\n",
       "      <td>0.109801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Eke        0.1        1.1        2.1        3.1        4.1        5.1   \\\n",
       "l m                                                                      \n",
       "1 -1   8.143443   7.593716   7.103404   6.660060   6.255712   5.885550   \n",
       "   0  11.823354  11.429458  11.111935  10.849149  10.627257  10.437825   \n",
       "   1   8.143443   7.593716   7.103404   6.660060   6.255712   5.885550   \n",
       "3 -1   2.620714   3.416440   4.071325   4.629875   5.118714   5.553100   \n",
       "   0   3.513428   4.719556   5.785863   6.766306   7.695465   8.593950   \n",
       "   1   2.620714   3.416440   4.071325   4.629875   5.118714   5.553100   \n",
       "5 -1   0.003993   0.013835   0.021033   0.026999   0.033004   0.039974   \n",
       "   0   0.006473   0.021244   0.032261   0.041993   0.052580   0.065454   \n",
       "   1   0.003993   0.013835   0.021033   0.026999   0.033004   0.039974   \n",
       "\n",
       "Eke        6.1        7.1        8.1        9.1        10.1  \n",
       "l m                                                          \n",
       "1 -1   5.546815   5.238038   4.958515   4.707928   4.486077  \n",
       "   0  10.275304  10.134910  10.010680   9.893534   9.769350  \n",
       "   1   5.546815   5.238038   4.958515   4.707928   4.486077  \n",
       "3 -1   5.941282   6.287526   6.594077   6.862346   7.093572  \n",
       "   0   9.472654  10.335015  11.177359  11.987428  12.741400  \n",
       "   1   5.941282   6.287526   6.594077   6.862346   7.093572  \n",
       "5 -1   0.048709   0.059861   0.073792   0.090524   0.109801  \n",
       "   0   0.081763   0.102433   0.127951   0.158158   0.192134  \n",
       "   1   0.048709   0.059861   0.073792   0.090524   0.109801  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display values for first 10 Ekes\n",
    "daPlotpd.iloc[:,0:11]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "- Correlations..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229ffc27d68>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eke correlations\n",
    "ep.snsMatMod.clustermap(daPlotpd.iloc[:,0:11].corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229f9b9c9e8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# (l,m) correlations\n",
    "ep.snsMatMod.clustermap(daPlotpd.iloc[:,0:11].T.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Phase correlations\n",
    "- Full phases and correlations..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=phase, thres=0.5, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(dataSet[0], selDims = {'Type':'L'}, \n",
    "                                               plotDims = ('l','m','mu','Cont','Targ','Total'), \n",
    "                                               thres = 0.5, figsize = (15,10), \n",
    "                                               pType = 'phase')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229fc665e48>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ep.snsMatMod.clustermap(daPlotpd.iloc[:,0:11].corr())\n",
    "ep.snsMatMod.clustermap(daPlotpd.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229ffe65f60>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ep.snsMatMod.clustermap(daPlotpd.iloc[:,0:11].T.corr())\n",
    "ep.snsMatMod.clustermap(daPlotpd.T.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For $\\beta_{L,M}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same functionality can be applied to plotting $\\beta_{L,M}$ paramters... \n",
    "\n",
    "(For calculation details, see [$\\beta_{L,M}$ calculations demo notebook](https://github.com/phockett/ePSproc/blob/master/epsproc/tests/ePSproc_BLM_calc_demo_Sept2019.ipynb).)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "daIn = dataSet[0].copy()\n",
    "BLMXeN2 = ep.mfblm(daIn, selDims = {'Type':'L'}, thres = 1e-2, verbose = 0)   # Run for all Eke"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(BLMXeN2, SFflag = True,\n",
    "                                               plotDims = ('l','m'), sumDims = ('Euler'),\n",
    "                                               figsize = (15,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "- $\\beta_{L,M}$ correlations over Eke"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x22983bfd2b0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.snsMatMod.clustermap(daPlotpd.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "For the $\\beta_{L,M}$ case, the SFflag controls whether normalised or unnormalised values are plotted. In the former case, the cross-section ($\\beta_{0,0}$) is divided out, hence $\\beta_{0,0}$ = 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(BLMXeN2, SFflag = False,\n",
    "                                               plotDims = ('l','m'), \n",
    "                                               figsize = (15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x229ffa9ceb8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.snsMatMod.clustermap(daPlotpd.T.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "As a function of Euler angle..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set pol geoms - these correspond to (z,x,y) in molecular frame (relative to principle/symmetry axis)\n",
    "# pRot = [0, 0, np.pi/2]\n",
    "# tRot = [0, np.pi/2, np.pi/2]\n",
    "# cRot = [0, 0, 0]\n",
    "# eAngs = np.array([pRot, tRot, cRot]).T   # List form to use later, rows per set of angles\n",
    "\n",
    "eAngs = ep.setPolGeoms()  # Functionalised form, returns Xarray of pol geoms, defaults to (z,x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "thres = 1e-2\n",
    "# Calculate for each pol geom\n",
    "# Run for all Eke, selected gauge only; round angles for display purposes only (to be fixed!)\n",
    "BLMeuler = ep.mfblmEuler(daIn, selDims = {'Type':'L'}, eAngs = eAngs, thres = thres, verbose = 0)\n",
    "BLMeulerLabel = BLMeuler.drop('Euler').swap_dims({'Euler':'Labels'})  # Swap values and labels for plotting, otherwise will be plotted vs. Euler angles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cross-sections..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files (x86)\\Microsoft Visual Studio\\Shared\\Anaconda3_64\\envs\\ePSdev\\lib\\site-packages\\xarray\\plot\\plot.py:76: FutureWarning:\n",
      "\n",
      "This DataArray contains multi-dimensional coordinates. In the future, these coordinates will be transposed as well unless you specify transpose_coords=False.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check XS values\n",
    "BLMeulerLabel.XS.real.plot.line(x='Eke');\n",
    "# BLMeuler.XS.sum('Euler').real.plot.line(x='Eke');  # Add sum over Euler angles sets\n",
    "BLMeulerLabel.XS.sum('Labels').real.plot.line(x='Eke');  # Add sum over Euler angles sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check XS from ePS file GetCRO outputs \n",
    "# This is for each symmetry group, averaged over all angles (i.e. unaligned LF) - see ePS manaul, https://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/GetCro.html\n",
    "# Hence should be similar to (x,y,z) MF orientations, but not identical\n",
    "dataXS[0].sel({'XC':'SIGMA', 'Type':'L'}).plot.line(x='Eke');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\beta_{L,M}$ parameters..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1092.12x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot (normalised) BLM results - basic with Xarray (note Seaborn style may now be applied, since lmPlot() sets this globally)\n",
    "BLMplot = ep.matEleSelector(BLMeulerLabel, thres=thres, dims = 'Eke')\n",
    "BLMplot.real.squeeze().plot.line(x='Eke', col='Labels');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xAAAAANAuyqVISgXV0OY8nHxHpcIYAAAAAICIUGEMAAAAALSJpJREUi7ooXfRmnsYSxgDAAAAAG2hVE6iVFDCuNSiCWNbUgAAAAAAEBEqjAEAAACANpGUinvoXZK25kPvJIwBAAAAgLZgS4p8tqQAAAAAACAiVBgDAAAAAG0iKSeRFFRhnKgwBgAAAACglY1pwri/vz8+9KEPxfz582Py5Mmx1157xbnnnhvVanUspwUAAAAAtKBtFcalgg4VxoX71Kc+FZdffnlccsklcd9998W//uu/xqc//em4+OKLx3JaAAAAAEALeuKhd0Ud9fjBD34Qr3zlK2O33XaLJEnia1/7Wm6f2267LRYsWBCdnZ2x1157xeWXXz7SSx+2MU0Y33777fGqV70qXvGKV8S8efPi+OOPj4ULF8by5cvHcloAAAAAAIXauHFjPOc5z4lLLrlkWK9/8MEH45hjjokXvOAF8bOf/Sw++MEPxtlnnx033nhjU+c5pg+9e/7znx+XX355/OY3v4m99947fv7zn8ePfvSjWLp06XZfv3Xr1ti6devA1z09PaM1VQDakHUHgNFk3QGA5kuSJJJSQQ+9q9YX5+ijj46jjz562K+//PLLY4899hjIle63336xfPny+MxnPhOvfe1r6xq7HmNaYfz+978/3vCGN8S+++4bEydOjAMOOCDe9a53xRve8Ibtvn7JkiXR3d09cMydO3eUZwxAO7HuADCarDsA0HylcqnQI2LbTd4nH0++AdyI22+/PRYuXDjo3Mtf/vJYvnx59PX1FTLG9oxpwviGG26IL33pS/HlL3857r777rj22mvjM5/5TFx77bXbff3ixYtj3bp1A8eqVatGecYAtBPrDgCjyboDADumuXPnDrrpu2TJkkLirl69OmbNmjXo3KxZs6K/vz8eeeSRQsbYnjHdkuK9731vfOADH4gTTzwxIiKe9axnxR/+8IdYsmRJLFq0aMjrOzo6oqOjY7SnCUCbsu4AMJqsOwDQfEk5iaTOh9XVjJVui7Nq1aro6uoaOF/kep4kg+eapul2zxdpTBPGmzZtilJpcJFzuVyOarU6RjMCAAAAAFpVMxLGXV1dgxLGRZk9e3asXr160Lk1a9bEhAkTYpdddil8vCeMacL4la98ZZx33nmxxx57xDOf+cz42c9+FhdccEGceuqpYzktAAAAAIAxddhhh8XXv/71Qee+853vxPOe97yYOHFi08Yd04TxxRdfHP/yL/8SZ5xxRqxZsyZ22223ePvb3x4f/vCHx3JaAAAAAEALevLD6hqOldYXZ8OGDfHb3/524OsHH3ww7rnnnpgxY0bssccesXjx4vjTn/4UX/jCFyIi4vTTT49LLrkkzjnnnDjttNPi9ttvj6uuuiquv/76QuZfy5gmjKdNmxZLly6NpUuXjuU0AAAAAACaavny5XHkkUcOfH3OOedERMSiRYvimmuuiYcffjgeeuihgfb58+fHN7/5zXj3u98dn/3sZ2O33XaLiy66KF772tc2dZ5jmjAGAAAAABg1Be5hHGl9cV70ohcNPLRue6655poh5174whfG3XffXe/MGiJhDAAAAAC0hVKSRKlUTMK4lBSUeB5nitmwAwAAAACAHZ4KYwAAAACgLSTlUiQFPfQuqbZmLa6EMQAAAADQFkrlJEoF7WFcqtqSAgAAAACAFqbCGAAAAABoC0k5iaSgCuNEhTEAAAAAAK1MhTEAAAAA0BY89C6fhDEAAAAA0BZK5SjwoXeFhBl3WjMNDgAAAABA3VQYAwAAAABtISklkZQKeuhdQXHGGwljAAAAAKAtlEqlKBW0h3Gp0pqbN7TmVQEAAAAAULeWqDCe1L1LTOrqGutpDCITDzD2Sj09TYk7OfpicvQNOT9lO+cG681sTdLa7UmaEzujb0REEv3Z/cuV2n2TnL5J9tzSrCdBVGuPO5z2NHL6N6Laqk+wGLu/UpJyuXnBSw3GbrR/hqSR97zReSUNjN1I34hIx3DsSBr456ENjN2TbBj5uBnKpSTK2/knrxPSkcdMct6jiaXs4JNyHhY0eWLt97GrI/t/Qytp9tiVal577bZqXuyc9rz+jcia946soCK+ESk18lmQo9xg7KbOrZFlp8F5NdK9FGM4doPfjrG67gl9LZHWG3VJOYmkoIfeFRVnvJHXBAAAAAAgIlqkwhgAAAAAIE9SLkVS0D9/KCrOeCNhDAAAAAC0haRUamzLsL+J1Ypa86oAAAAAAKibCmMAAAAAoC2UyqUoFbSVRFFxxhsJYwAAAACgPRS4h3G0aMK4Na8KAAAAAIC6qTAGAAAAANpCUiquwthD7wAAAAAAaGkqjAEAAACAtpCUSoVVBrdqhbGEMQAAAADQFpJyKZJyuaBYlULijDetmQYHAAAAAKBuKowBAAAAgLawrcK4oC0pCooz3kgYAwAAAABtoVQqRamgvYeLijPetOZVAQAAAABQNxXGAAAAAEBbsCVFPgljAAAAAKAtSBjna82rAgAAAACgbiqMAQAAAIC2kCSlSAp6WF2StGYtbmteFQAAAAAAdVNhDAAAAAC0BXsY55MwBgAAAADagoRxvta8KgAAAAAA6qbCGAAAAABoC6VyKUoFVQYXFWe8kTAGAAAAANpCUkoiKRW0JUUpKSTOeNOaaXAAAAAAAOqmwhgAAAAAaAseepevNa8KAAAAAIC6qTAGAAAAANqCCuN8EsYAAAAAQFtIklJxD71LWjNh3JpXBQAAAABA3VQYAwAAAABtISmXo1QuFxarFUkYAwAAAABtwR7G+VrzqgAAAAAAqJsKYwAAAACgLagwzteaVwUAAAAAQN1UGAMAAAAAbSEplSIpFVRhXFCc8UbCGAAAAABoC7akyNeaVwUAAAAAQN1UGAMAAAAAbSEpJcVVGJeSQuKMNxLGAFCnpL83kv6tQ86vqU7J7NfTOymzvbdSHfGcSjl/qEyYkN0+qVy7vTOjLa9vRETHhNp/jOX1LW3nfX6y7X0fBrX3bRlx36j05ozdl92e1b+S3TftrT3viIi0L6d/f+2x05x5R057Wqlk9M1+z9Jqzs94NSN2TnszY0fkXHeevLll9m1g3IhIG+zfjpJSecR9t27K/t0dqb5KGr2VdMj5rk1/yexX2rS2ZlvSt7mxSeW8T2m59pqXTuzI7jsxez1NO0beP53Qmdm3b+jbPMj2vg/DaRtOe181u70/oz2vbyWnfUt/9udUX8bc+3I+4zblvKl5c6+mGWPn/O2U85Znxq7mvacNxN7Wf+Rj58mbW5a8eeeP3Vj/dlRORp5w3LxxfYEzaR/2MM7XmlcFAAAAAEDdVBgDAAAAAG0hKZUb+hdFfxurFakwBgAAAAAgIlQYAwAAAADtolTO3Yu/rlgtSMIYAAAAAGgPpdK2o6hYLag1rwoAAAAAYJy59NJLY/78+dHZ2RkLFiyIH/7whzVfe80110SSJEOOLVu2NHWOKowBAAAAgLaQlMuRlAt66F2dcW644YZ417veFZdeemkcccQRccUVV8TRRx8dv/rVr2KPPfbYbp+urq5YuXLloHOdnZ0jnvNwqDAGAAAAANrDE3sYF3XU4YILLoi3vOUt8da3vjX222+/WLp0acydOzcuu+yymn2SJInZs2cPOppNwhgAAAAAYIR6enoGHVu3bh3ymt7e3lixYkUsXLhw0PmFCxfGT37yk5qxN2zYEHvuuWfsvvvuceyxx8bPfvazwuf/tySMAQAAAID2UCoVWGG8LbU6d+7c6O7uHjiWLFkyZNhHHnkkKpVKzJo1a9D5WbNmxerVq7c71X333TeuueaauOmmm+L666+Pzs7OOOKII+L+++8v/n15EnsYAwAAAACM0KpVq6Krq2vg646OjpqvTZJk0Ndpmg4594RDDz00Dj300IGvjzjiiDjwwAPj4osvjosuuqjBWdcmYQwAAAAAtIWkVIqkVMymC0/E6erqGpQw3p5dd901yuXykGriNWvWDKk6rqVUKsVBBx3U9ApjW1IAAAAAAO0hKfCBd8nwH3o3adKkWLBgQdxyyy2Dzt9yyy1x+OGHDytGmqZxzz33xJw5c+q65HqpMAYAAAAAaLJzzjknTj755Hje854Xhx12WFx55ZXx0EMPxemnnx4REW9605viqU996sAeyB/96Efj0EMPjb/7u7+Lnp6euOiii+Kee+6Jz372s02d55gnjP/0pz/F+9///vjWt74Vmzdvjr333juuuuqqWLBgwVhPDQAAAABoJU9UBxcVqw4nnHBCPProo3HuuefGww8/HPvvv39885vfjD333DMiIh566KEoPWm7jMcffzze9ra3xerVq6O7uzsOOOCA+MEPfhAHH3xwMfOvYUwTxmvXro0jjjgijjzyyPjWt74VM2fOjAceeCB23nnnsZwWAAAAANCCmrGHcT3OOOOMOOOMM7bbduuttw76+sILL4wLL7xwJFNryJgmjD/1qU/F3Llz4+qrrx44N2/evLGbEAAAAABAGxvTh97ddNNN8bznPS9e97rXxcyZM+OAAw6Iz33uc2M5JQAAAACgVRX1wLsit7YYZ8a0wvh3v/tdXHbZZXHOOefEBz/4wbjzzjvj7LPPjo6OjnjTm9405PVbt26NrVu3Dnzd09MzmtMFoM1YdwAYTdYdABgFpVKBexiPaS1u04zpVVWr1TjwwAPjE5/4RBxwwAHx9re/PU477bS47LLLtvv6JUuWRHd398Axd+7cUZ4xAO3EugPAaLLuAADjwZgmjOfMmRPPeMYzBp3bb7/94qGHHtru6xcvXhzr1q0bOFatWjUa0wSgTVl3ABhN1h0AaL6kXC70aEVjuiXFEUccEStXrhx07je/+U3sueee2319R0dHdHR0jMbUAMC6A8Cosu4AAOPBmCaM3/3ud8fhhx8en/jEJ+L1r3993HnnnXHllVfGlVdeOZbTAgAAAABaUalU3N7DLbqH8ZgmjA866KBYtmxZLF68OM4999yYP39+LF26NE466aSxnBYAAAAA0IpK5QIfemdLiqY49thj49hjjx3raQAAAAAAtL0xTxgDAAAAAIyGpFSOpKDK4KLijDcSxgAAAABAe0gK3MM4ac09jFvzqgAAAAAAqJsKYwAAAACgLdiSIp8KYwAAAAAAIkKFMQAAAADQLkqliKIqg4vaC3mckTAGAAAAANpDqcCH3rVowrg1rwoAAAAAgLqpMAYAAAAA2kJSLkdSLuihdwXFGW8kjAEAAACA9lAqF7iHcWsmjG1JAQAAAABARKgwBgAAAADahQrjXCqMAQAAAACICBXGAAAAAECbSEqlSErF1NAWFWe8aYmE8fpNmyOZMHHI+W/c/1hmv1WPb25o3K7OoWM+YebUSZl9d+/qzGzfZUr2t2ZGZ+2S9ymVTZl9S+v/ktmePL66Zlv/mj9l9q38b3b7pr88kt3+cO3v2eZH12X23fzoxuz2tVsy27f29Ga0bc3s27+5P7O90l+t3ZammX3zTJqY/c8fOro6arZN2XVyZt+u3adltnfPn53ZPn2/PWvPa+/nZvZNdt8vs31z9+6Z7X/e0Fez7U8538/V67Pb1/dWarZVc76fE0tJZvtOHdm/+90Z7btOyf7c6cr43IiI2CnnZ2mnSbUXws7I/h1INmf//pZ6a//+lrasz+ybbtlQs62yIftzAQAAgDaTFLglRdKaW1K0RMIYAEbTpglTY8KEnYac3+0vv8zs95RV92e2Vx9fU7Mt3Zp90yut1r6RERGR5PxBlHTUvpGZTMq+yZl0Ts1un1y7vTQl+8ZUKaNvREQ6Kad9Yu2bZumE7OtKO7JjRzn7Jk06ofbY1XLtm84REf3V7JtPfZXs9qz+fbXvYUZE/o3MSkbsjPujw4yd3b8atftnzSsi/z3Lm1vWDcHGY2f0zbmuvBuVOVNrLHbO3BqNnzl2Y0M3NHaWTRvWR8S5hcctJRHl7dxzLm/438x+fRnrTtaaE9HcdSdrzYlo7rpTzll3JuWsO1My1p2sNSdiGOtOTv+YVHvdyVpzIpq77uT23UHXnaw1Z1vf5q07eZ9R1p3iY+dp5nU1oqOS/bsNIyVhDAAAAAC0hySJSAraSiLJ/lfEOyoJYwAAAACgPSSlAhPGrYCaOBUAACAASURBVLmHcWteFQAAAAAAdVNhDAAAAAC0hTQpRVpQZXBRccab1rwqAAAAAADqpsIYAAAAAGgP9jDOJWEMAAAAALSHJNl2FBWrBbVmGhwAAAAAgLqpMAYAAAAA2kOptO0oKlYLkjAGAAAAANpCmpQiLWjv4aLijDeteVUAAAAAANRNhTEAAAAA0B6S0rajqFgtSMIYAAAAAGgPEsa5WvOqAAAAAAComwpjAAAAAKA9qDDO1ZpXBQAAAABA3VQYAwAAAABtIU2SSAuqDE6TpJA4482wE8bnnHPOsINecMEFI5oMAAAAAEDT2JIi17ATxj/72c8Gfb1ixYqoVCqxzz77RETEb37zmyiXy7FgwYJiZwgAAAAAwKgYdsL4+9///sB/X3DBBTFt2rS49tprY/r06RERsXbt2njzm98cL3jBC4qfJQAAAABAo5Jk21FUrBY0orrp888/P5YsWTKQLI6ImD59enz84x+P888/v7DJAQAAAAAU5oktKYo6WtCIrqqnpyf+8pe/DDm/Zs2aWL9+fcOTAgAAAABg9A17S4one/WrXx1vfvOb4/zzz49DDz00IiLuuOOOeO973xuvec1rCp0gAAAAAEAR0qQUaUGVwUXFGW9GlDC+/PLL4z3veU+88Y1vjL6+vm2BJkyIt7zlLfHpT3+60AkCAAAAADA6RpQwnjJlSlx66aXx6U9/Oh544IFI0zSe/vSnx9SpU4ueHwAAAABAMZJSRKmgymAVxkNNnTo1nv3sZxc1FwAAAACA5inyYXUSxv9n48aN8clPfjK+973vxZo1a6JarQ5q/93vflfI5AAAAAAAGD0jShi/9a1vjdtuuy1OPvnkmDNnTiRJUvS8AAAAAACKpcI414gSxt/61rfiG9/4RhxxxBFFzwcAAAAAoDkkjHON6KqmT58eM2bMKHouAAAAAACMoREljD/2sY/Fhz/84di0aVPR8wEAAAAAaIo0SSJNSgUdrblN74i2pDj//PPjgQceiFmzZsW8efNi4sSJg9rvvvvuQiYHAAAAAMDoGVHC+Ljjjit6HgAAAAAAzWUP41wjShj/v//3/4qeBwAAAABAcyXJtqOoWC2oNdPgAAAAAADUbdgJ4xkzZsQjjzwSERHTp0+PGTNm1DwAAAAAAMadJ7akKOqo06WXXhrz58+Pzs7OWLBgQfzwhz/MfP2NN94Yz3jGM6KjoyOe8YxnxLJly0Z65cM27C0pLrzwwpg2bVpERCxdurRpEwIAAAAAaIY0KUVa0N7D9ca54YYb4l3veldceumlccQRR8QVV1wRRx99dPzqV7+KPfbYY8jrb7/99jjhhBPiYx/7WLz61a+OZcuWxetf//r40Y9+FIccckgh17A9w04YL1q0aLv/DQAAAABAtgsuuCDe8pa3xFvf+taI2FaU++1vfzsuu+yyWLJkyZDXL126NF72spfF4sWLIyJi8eLFcdttt8XSpUvj+uuvb9o87WEMAAAAALSHJmxJ0dPTM+jYunXrkGF7e3tjxYoVsXDhwkHnFy5cGD/5yU+2O9Xbb799yOtf/vKX13x9UepKGJfL5WEdAAAAAADtYO7cudHd3T1wbK9a+JFHHolKpRKzZs0adH7WrFmxevXq7cZdvXp1Xa8vyrC3pIiISNM09txzz1i0aFEccMABzZpT3aZNmRzTpkwecv7E5zx1DGYzHkzJbu7eNbt992fWbGr0dkDOzGDYpuW077Odz4SBtpnFzoVhmJr3HWuOck9PU+JO6d8YU/qH3nP98/RnZPbrmbpvZntvpTriOZWSJLN9Qim7fVK5dntnRlte34iIjgm170/n9S31D70z/2RJXnvflpH33bQpZ+y+7PZKb+3GSnbfSb215x0RkfZl90/7a4+d5sw7ctrTSiWjb8Y1R0RazfkZr2bEzmlvZuyInOvOkze3zL4NjBsRaYP921FSGvlfvD2bsn93R6qaRlTSoecrOz0ls9+EPWv/716y27zGJpXzPqXlSbXbJnZk952Y/X8NjfTvn5Ddt2877/OT9W7vGzGMtuG09+W092dMri/nc6ZSzf7Z3NKf3T9rbnlj511XXzW7vZpmjJ3zt1PO0JmxqznzaiT2tv4jHztP3tyy5M07f+zG+rejcs7f8Vk2b8n5u47tSpMk0gbe97+NFRGxatWq6OrqGjjf0VF7vUn+Zuw0TYeca+T1RagrYfzTn/40Pv/5z8e//du/xfz58+PUU0+Nk046KaZPn96s+QEAAAAAFCJNtx1FxYqI6OrqGpQw3p5dd901yuXykOrgNWvWDKkifsLs2bPren1R6tqS4qCDDorLLrssHn744TjnnHNi2bJlsfvuu8eJJ54Yt9xyS7PmCAAAAACww5o0aVIsWLBgSA71lltuicMPP3y7fQ477LAhr//Od75T8/VFGdFD7zo7O+ONb3xjfO9734tf/vKXsWbNmjjqqKPiscceK3p+AAAAAACFqKZpoUc9zjnnnPj3f//3+PznPx/33XdfvPvd746HHnooTj/99IiIeNOb3hSLFy8eeP073/nO+M53vhOf+tSn4te//nV86lOfiu9+97vxrne9q9D35G/VtSXFk/3xj3+Ma665Jq655prYvHlzvPe9780tvQYAAAAAGCvpX4+iYtXjhBNOiEcffTTOPffcePjhh2P//fePb37zm7HnnntGRMRDDz0UpdL/1fcefvjh8ZWvfCU+9KEPxb/8y7/E0572tLjhhhvikEMOKegKtq+uhHFvb28sW7YsrrrqqvjhD38YRx99dCxdujSOOeaYQRcDAAAAAMBgZ5xxRpxxxhnbbbv11luHnDv++OPj+OOPb/KsBqsrYTxnzpyYNm1aLFq0KC699NKYOXNmRERs2LBh0OtUGgMAAAAA40013XYUFasV1ZUwXrt2baxduzY+9rGPxcc//vEh7WmaRpIkUalUCpsgAAAAAEAR0jSNtM69h7NitaK6Esbf//73mzUPAAAAAADGWF0J4xe+8IWZ7Rs3bowVK1Y0NCEAAAAAgGawJUW+Qp9U99vf/jaOPPLIIkMCAAAAADBK6qowBgAAAADYkbVoYXBhJIwBAAAAgLZgS4p8hW5JAQAAAADAjquuCuObbrops/3BBx9saDIAAAAAAM2SpmmkaTGlwUXFGW/qShgfd9xxua9JkmREE1myZEl88IMfjHe+852xdOnSEcUAAAAAAKil+tejqFitqK6EcbXanLfhrrvuiiuvvDKe/exnNyU+AAAAAAD5RrSH8aOPPjrw36tWrYoPf/jD8b73vS9++MMf1h1rw4YNcdJJJ8XnPve5mD59+kimAwAAAACQK02LPVpRXQnje++9N+bNmxczZ86MfffdN+6555446KCD4sILL4wrrrgijjzyyPja175W1wTe8Y53xCte8Yp46UtfmvvarVu3Rk9Pz6ADAJrFugPAaLLuAADjQV0J4/e9733xrGc9K2677bZ40YteFMcee2wcc8wxsW7duli7dm28/e1vj09+8pPDjveVr3wlVqxYEUuWLBnW65csWRLd3d0Dx9y5c+uZPgDUxboDwGiy7gBA81XTYo9WVFfC+K677orzzjsvnv/858dnPvOZ+POf/xxnnHFGlEqlKJVKcdZZZ8Wvf/3rYcVatWpVvPOd74zrrrsuOjs7h9Vn8eLFsW7duoFj1apV9UwfAOpi3QFgNFl3AKD50jQt9GhFdT307rHHHovZs2dHRMROO+0UU6dOjRkzZgy0T58+PdavXz+sWCtWrIg1a9bEggULBs5VKpX4wQ9+EJdcckls3bo1yuXyoD4dHR3R0dFRz5QBYMSsOwCMJusOADAe1JUwjohIkiTz6+F6yUteEvfee++gc29+85tj3333jfe///1DksUAAAAAAI2o/vUoKlYrqjthfMoppwzc9d6yZUucfvrpMXXq1IjY9pCG4Zo2bVrsv//+g85NnTo1dtlllyHnAQAAAAAalUZEUTtJtOaGFHUmjBctWjTo6ze+8Y1DXvOmN72psRkBAAAAADAm6koYX3311c2aR0RE3HrrrU2NDwAAAAC0r2qaRrWgEuOi4ow3pbGeAAAAAAAA40PdexgDAAAAAOyI0ihu7+HWrC+WMAYAAAAA2kQ13XYUFasV2ZICAAAAAICIUGEMAAAAALSLNKKwZ9W1aIWxhDEAAAAA0BaqkUa1oExvUXHGG1tSAAAAAAAQESqMAQAAAIA2kRa4JUVhW1uMMyqMAQAAAACICBXGAAAAAECbqKbbjqJitSIJYwAAAACgLdiSIp8tKQAAAAAAiAgVxgAAAABAm6hGGtUopjS4qDjjjYQxAAAAANAWbEmRT8IYAOpU+cmNUZnSOeR89+OPZfab1tef2Z5WqiOeU2li9pKelLN3ocrqn0yYlDN4duxkYu3+yYSJmX3TBsfO6p+Uyw3FjlJ2/ySrPe89y4mdO3bWdU8a+rM7qD3vfWlE3nU1u3+TJHk/K9QtrY7883AsdWzY2JS4N//2sZi8U9+Q849uyn6fevun1WyrVHdqaE6TJmT/3JdLyYj7Tsz5nSonQ9+LQf3L6zNib8jsOyFnvSzXvqyYmLfWJhmdc2Ln9c96v7f1zY5dzplb1th536/OnKxD3vvSiLzrytLMeTUq50eNEWjgz/AxtWG9HwaaQ8IYAAAAAGgL1TSNakGlwUXFGW8kjAEAAACAtlCpFldVvqNWp+dRuw4AAAAAQESoMAYAAAAA2oQtKfKpMAYAAAAAICJUGAMAAAAAbaKaplFRYZxJwhgAAAAAaAvVtLhEb7U188W2pAAAAAAAYBsVxgAAAABAW6hUtx1FxWpFEsYAAAAAQFuopmmBW1K05p4UtqQAAAAAACAiVBgDAAAAAG2ikqZRKagyuKg4440KYwAAAAAAIkKFMQAAAADQJqoRUS2oMLhFn3knYQwAAAAAtIdKNY1KQRnjouKMN7akAAAAAAAgIlQYAwAAAABtIk3TqBb0sLq0RR96J2EMAAAAALSFSrrtKCpWK7IlBQAAAAAAEaHCGAAAAABoE9UCt6QoKs54o8IYAAAAAICIUGEMAAAAALSJSjWNSrWYyuCi4ow3EsYAAAAAQFuwJUU+W1IAAAAAABAREsYAAAAAQJuopMUezbJ27do4+eSTo7u7O7q7u+Pkk0+Oxx9/PLPPi170okiSZNBx4okn1j22LSkAAAAAgLawo2xJ8Y//+I/xxz/+MW6++eaIiHjb294WJ598cnz961/P7HfaaafFueeeO/D15MmT6x5bwhgAAAAAYJy477774uabb4477rgjDjnkkIiI+NznPheHHXZYrFy5MvbZZ5+afadMmRKzZ89uaHxbUgAAAAAAbaFaTQs9muH222+P7u7ugWRxRMShhx4a3d3d8ZOf/CSz73XXXRe77rprPPOZz4z3vOc9sX79+rrHV2EMAAAAADBCPT09g77u6OiIjo6OEcdbvXp1zJw5c8j5mTNnxurVq2v2O+mkk2L+/Pkxe/bs+OUvfxmLFy+On//853HLLbfUNb4KYwAAAACgLVQLfODdEwXGc+fOHXg4XXd3dyxZsmS7Y3/kIx8Z8lC6vz2WL18eERFJkgzpn6bpds8/4bTTTouXvvSlsf/++8eJJ54Y//mf/xnf/e534+67767rPVJhDAAAAAC0hWY89G7VqlXR1dU1cL5WdfGZZ54ZJ554YmbMefPmxS9+8Yv4y1/+MqTtf//3f2PWrFnDnt+BBx4YEydOjPvvvz8OPPDAYfeTMAYAAAAAGKGurq5BCeNadt1119h1111zX3fYYYfFunXr4s4774yDDz44IiJ++tOfxrp16+Lwww8f9rz+53/+J/r6+mLOnDnD7hNhSwoAAAAAoE1U0rTQoxn222+/OOqoo+K0006LO+64I+6444447bTT4thjj4199tknIiL+9Kc/xb777ht33nlnREQ88MADce6558by5cvj97//fXzzm9+M173udXHAAQfEEUccUdf4EsYAAAAAQFuoVtNCj2a57rrr4lnPelYsXLgwFi5cGM9+9rPji1/84kB7X19frFy5MjZt2hQREZMmTYrvfe978fKXvzz22WefOPvss2PhwoXx3e9+N8rlcl1j25ICAAAAAGAcmTFjRnzpS1+q2T5v3rxIn1ThPHfu3LjtttsKGVvCGAAAAABoC5WIqBRUGFwpJsy4Y0sKAAAAAAAiQoUxAAAAANAmqmka1YIeVldUnPFGwhgAAAAAaAuVNI1KQYneouKMNy2RMP79P58W0zomDTm/59tOz+zXv+v8zPZ04pTsgdNqzaakf0tm19LWjdntm9dltlfX/qVmW/+jqzP7Vh59OLN90+pHa7ZtXP1YZt/Na9Zmx35kc2b7xjW135fNa7Pf0/Xrtma2r+vL3llmXV/t72dPf+22iIjNlbz22h8gvU18omZExORyUrOte2L2UzKn57Q/dXL2R8guu+1Us23G383I7Dtj790y23fee25m+6Td96rZNmHmUzP7xtTpmc3pxI7ajUn2Tj9JtT+7vS/75zjdsqFmW3X945l9K+tq/25v65/9+9v3eO34W9euz+y75dGezPbe9bV/97eszf683NrTW7NtQ1/2+w0AAAAM1hIJYwAYTb878A2x07SuIeeX/TL7ht39f8lOrK/fUjvB3TEh+2ZE95ShN06fbE53Z2b77Iz2mVOzY8+cmnETJSJ2mTKxZlvXpOzr2imnvbOUfdOttLX2e17akv39SHo3ZbdvrX0DJyKiurF2/OqW7Bsh1c3ZN4DSnP5pb+2brOnW7Buwla3ZN66qGTdi+jfn3PSqZt9grfZm3+SpZIyd5ty8zW3PmVtW/7zYjajmzGsslUqNPQ4lKY+8fyN9IyKSjLnnxc5qX7+l9k3MRjxnzrTC152sNSeiuetO1poTEbFrxroRMX7Xnaw1JyKitCX7Bnoj6051Q/bYeetOujmnPaN/1poTseOuO1lrTkRz151GYzeiVdedhteNRtasnHmPx3Wn1VWraVQKKt6rNrkIcKxIGAMAAAAAbaFSYMK4qDjjTWO3WAAAAAAAaBkqjAEAAACAtqDCOJ+EMQAAAADQFirV4hK9TdxSfEzZkgIAAAAAgIhQYQwAAAAAtAlbUuRTYQwAAAAAQESoMAYAAAAA2oQK43wSxgAAAABAW6gWmDCutmjC2JYUAAAAAABEhApjAAAAAKBNVNICt6RIW7PCWMIYAAAAAGgL9jDOZ0sKAAAAAAAiQoUxAAAAANAmVBjnG9MK4yVLlsRBBx0U06ZNi5kzZ8Zxxx0XK1euHMspAQAAAAC0rTFNGN92223xjne8I+6444645ZZbor+/PxYuXBgbN24cy2kBAAAAAC2ov5oWerSiMd2S4uabbx709dVXXx0zZ86MFStWxN///d+P0awAAAAAgFZkS4p84+qhd+vWrYuIiBkzZozxTAAAAAAA2s+4eehdmqZxzjnnxPOf//zYf//9t/uarVu3xtatWwe+7unpGa3pAdCGrDsAjCbrDgA0X7XACuOqCuPmOvPMM+MXv/hFXH/99TVfs2TJkuju7h445s6dO4ozBKDdWHcAGE3WHQBovkqaFnq0onGRMD7rrLPipptuiu9///ux++6713zd4sWLY926dQPHqlWrRnGWALQb6w4Ao8m6AwCMB2O6JUWapnHWWWfFsmXL4tZbb4358+dnvr6joyM6OjpGaXYAtDvrDgCjyboDAM3noXf5xjRh/I53vCO+/OUvx3/913/FtGnTYvXq1RER0d3dHZMnTx7LqQEAAAAAtJ0xTRhfdtllERHxohe9aND5q6++Ok455ZTRnxAAAAAA0LJUGOcb8y0pAAAAAABGg4RxvnHx0DsAAAAAAMbemFYYAwAAAACMlkpajUq1WlisViRhDAAAAAC0hWqBW1JUbUkBAAAAAEArU2EMAAAAALSFSjWNkofeZVJhDAAAAABARKgwBgAAAADaRH81IimoMri/NZ95J2EMAAAAALQHW1LksyUFAAAAAAARocIYAAAAAGgTKozzSRgDAAAAAG1BwjifLSkAAAAAAIgIFcYAAAAAQJuoVtPCKoOrLVphLGEMAAAAALSFSjWNxJYUmWxJAQAAAABARLRIhfG88z4XXV1ddfeb1IS5jJasTH+j39SpGW1PaTA20DzlnPaJozKL8aWnpyeiu7vwuHvdfX10Tekccv7djz+W2a/a15/ZnlartRt7s+dUSrM//ZMt2feIS4/V7p9MyFkxS9mxk4m1+ycTcn4yc8ZOcsZOM/pXyzm/NTmxo5TdP8loz7vuUvcu2WNPn5ndnhk85/uV9740Iuc9a3r/Jsn7OaR+mZ+H41jnho0R5/574XF//vD6mLx+6PmdOrM/+5/51NprYKMVUZMmZP/cl0tJ7bHT7LEf2dSX2b52c3b7xHLtuU3MmFdExISMvhER5YzuWeNGRJSS7P9nLee0l5Lag5d3yr6u0rTM5ihnxM4bO0/O29JQ7NyxG4jdzHk1Ku89pX6VHXPZiQ3re5qy7rS6NE0jLagyOM1Z03ZUPmYAAAAAAIiIFqkwBgAAAADIU62mhT2szkPvAAAAAAB2YGmaFraVhC0pAAAAAABoaSqMAQAAAIC2kFYLfOidLSkAAAAAAHZc9jDOZ0sKAAAAAAAiQoUx/7+9u4+tsy77AH6dtWs39iYwbVe34B5goAILDp1bmJsge5gC6oIBWXjxJXHACBUMD7hEKqJDEhc0CIZoYJrIeIx0MUZxNUABlyVbWR/GVEIEtomrCwZYmaxlPb/nD8aJZS/tae+dc9rz+SR3WO9z9z6/XZTzba9e/A4AAAAAVImUf/vI6l6jkQljAAAAAAAiwoQxAAAAAFAlUkqRUkZvepfRfSqNhjEAAAAAUBW86d3AbEkBAAAAAEBEmDAGAAAAAKpEyqdIGU0GZ3WfSmPCGAAAAACoDgcaxlkccRQbxt/97ndj/vz5ccwxx8R73vOeQX1OSilaWlqiqakpxo8fH4sWLYpt27YV/dwaxgAAAAAAFaS3tze+8IUvxNVXXz3oz7nzzjtj9erVcffdd8emTZuisbExzjvvvOju7i7quW1JAQAAAABUhXxKkUsZveldRvc5lG9/+9sREfHAAw8M6vqUUtx1112xcuXKWLp0aURErFmzJhoaGuKXv/xlfO1rXxv0c5swBgAAAAAYwV588cXo6uqKxYsXF87V19fHwoULY8OGDUXdy4QxAAAAAFAVUsrwTe8OTBjv2bOn3/n6+vqor6/P5DkGq6urKyIiGhoa+p1vaGiI7du3F3UvE8YAAAAAQFXI6g3vCm98FxEzZsyIKVOmFI5Vq1Yd8rlbWloil8sd8di8efOw/n65XK7/3zelg84NxIQxAAAAAMAQ7dy5MyZPnlz4+HDTxStWrIhLL730iPf6wAc+MKQ1NDY2RsTbk8bTpk0rnN+9e/dBU8cD0TAGAAAAAKpCPh+Ry2hLinz+7X9Onjy5X8P4cKZOnRpTp07N5LnfbebMmdHY2BhtbW1x5plnRkREb29vtLe3x/e///2i7mVLCgAAAACgKqSUMj2Olh07dkRnZ2fs2LEj+vr6orOzMzo7O+ONN94oXHPqqadGa2trRLy9FUVzc3N873vfi9bW1nj22WfjqquuimOOOSYuu+yyop7bhDEAAAAAQAX51re+FWvWrCl8/M7U8GOPPRaLFi2KiIjnnnsuXn/99cI1N910U7z55ptxzTXXxKuvvhpz586N9evXx6RJk4p6bg1jAAAAAKAqpPzbR1b3OloeeOCBeOCBB478/O+acM7lctHS0hItLS3Dem5bUgAAAAAAEBEmjAEAAACAKpHPpwzf9O7o7WFcThrGAAAAAEBVSPkUKaNGb1b3qTS2pAAAAAAAICJMGAMAAAAAVcKE8cA0jAEAAACAqpBPKXIpoz2MM7pPpbElBQAAAAAAEWHCGAAAAACoErakGJiGMQAAAABQFVLKsGFsSwoAAAAAAEYzE8YAAAAAQFVI+RR5W1IckQljAAAAAAAiwoQxAAAAAFAlUkqZ7T08Wvcw1jAGAAAAAKpCymf4pnejdEuKUdEw3rj4v2NC7aj4qwCQob3795d7CQAAADCi6LICQJH+765Wv6gE4CBH6xeV//U/Xzlk7px0VJ4NsjXQ7F3fUXzuo3lvqAQ9BmSGJJ9PERlNBmf15nmVxk+7AAAAAEBVSPm+SPlsfqWU1X0qzZhyLwAAAAAAgMpgwhgAAAAAqAomjAdmwhgAAAAAgIgwYQwAAAAAVImUz2c4YZzP5D6VRsMYAAAAAKgKqa8vUl9GDeOM7lNpbEkBAAAAAEBEmDAGAAAAAKpEShm+6V0anRPGGsYAAAAAQFVI+Qwbxhndp9LYkgIAAAAAgIgwYQwAAAAAVAkTxgMzYQwAAAAAQESYMAYAAAAAqoQJ44FpGAMAAAAAVSHl8xk2jPOZ3KfS2JICAAAAAICIqJCG8T333BMzZ86McePGxZw5c+LJJ58s95IAAAAAgFEmn+/L9BiNyt4wfuihh6K5uTlWrlwZW7ZsiQULFsSSJUtix44d5V4aAAAAADCKvLOHcVbHaFT2hvHq1avjK1/5Snz1q1+ND37wg3HXXXfFjBkz4t577y330gAAAAAAqkpZ3/Sut7c3Ojo64uabb+53fvHixbFhw4aDru/p6Ymenp7Cx3v27DnqawSgeskdAEpJ7gDA0ZflZLAJ46PglVdeib6+vmhoaOh3vqGhIbq6ug66ftWqVTFlypTCMWPGjFItFYAqJHcAKCW5AwBUgrJvSRERkcvl+n2cUjroXETELbfcEq+//nrh2LlzZ6mWCEAVkjsAlJLcAYAS6OuLlNERfaNzwrisW1JMnTo1ampqDpom3r1790FTxxER9fX1UV9fX6rlAVDl5A4ApSR3AODoS6kvIqstKdLobBiXdcK4rq4u5syZE21tbf3Ot7W1xfz588u06JOjUwAADmZJREFUKgAAAACA6lTWCeOIiBtuuCEuv/zyOOuss2LevHlx3333xY4dO2L58uXlXhoAAAAAMIqkfD67CeN8PpP7VJqyN4wvueSS+Ne//hW33XZb7Nq1K0477bT43e9+FyeccEK5lwYAAAAAjCIpn+GWFBndp9KUvWEcEXHNNdfENddcU+5lAAAAAABUtYpoGAMAAAAAHG1vb0mRzVYStqQAAAAAABjBbEkxsDHlXgAAAAAAAJXBhDEAAAAAUBVMGA/MhDEAAAAAABFhwhgAAAAAqBL5fF/kTBgfkYYxAAAAAFAVUl8+IpdRw7gvn8l9Ko0tKQAAAAAAiAgTxgAAAABAlUgpwze9S7akAAAAAAAYsVK+L7stKUbpHsa2pAAAAAAAICJMGAMAAAAAVcKE8cBMGAMAAAAAEBEjfMI4pRQREXv37y/zSgCoRO/kwzt5MVxyB4AjkTsAlFLWuVMt0lv7spsM7nsrm/tUmBHdMO7u7o6IiKUdm8u8EgAqWXd3d0yZMiWT+0TIHQCOTO4AUEpZ5c5oV1dXF42NjdH15//N9L6NjY1RV1eX6T3LLZdG8K8h8vl8/OMf/4hJkyZFd3d3zJgxI3bu3BmTJ08u99JGjD179qhbkdSseGpWPDUbmnfXLaUU3d3d0dTUFGPGDH8XJrkzPL6uh0bdiqdmxVOzoZE7lc3XdfHUbGjUrXhqVrxD1Szr3KkG+/bti97e3kzvWVdXF+PGjcv0nuU2oieMx4wZE9OnT4+IiFwuFxERkydP9mIzBOpWPDUrnpoVT82G5j/rluVv2uVONtRsaNSteGpWPDUbGrlT2dSseGo2NOpWPDUr3rtrZrK4OOPGjRt1zd2jwa8fAAAAAACICA1jAAAAAAAOqGlpaWkp9yKyUlNTE4sWLYra2hG900bJqVvx1Kx4alY8NRuaUtbNv6PiqdnQqFvx1Kx4ajY0cqeyqVnx1Gxo1K14alY8NaNURvSb3gEAAAAAkB1bUgAAAAAAEBEaxgAAAAAAHKBhDAAAAABARIyihvE999wTM2fOjHHjxsWcOXPiySefLPeSKsYTTzwRF154YTQ1NUUul4t169b1ezylFC0tLdHU1BTjx4+PRYsWxbZt28q02sqwatWq+OhHPxqTJk2K973vffG5z30unnvuuX7X9PT0xHXXXRdTp06NCRMmxEUXXRR///vfy7Ti8rv33nvjjDPOiMmTJ8fkyZNj3rx58fvf/77wuHoNbNWqVZHL5aK5ublwTt0O1tLSErlcrt/R2NhYeLxUr2ly5/DkTvHkTvHkzvDJncGphNyROUcmd4ond4ond4ZP7gxOJeQOjIqG8UMPPRTNzc2xcuXK2LJlSyxYsCCWLFkSO3bsKPfSKsLevXtj9uzZcffddx/y8TvvvDNWr14dd999d2zatCkaGxvjvPPOi+7u7hKvtHK0t7fHtddeGxs3boy2trbYv39/LF68OPbu3Vu4prm5OVpbW2Pt2rXx1FNPxRtvvBEXXHBB9PX1lXHl5TN9+vS44447YvPmzbF58+Y455xz4rOf/WwhuNTryDZt2hT33XdfnHHGGf3Oq9uhffjDH45du3YVjq1btxYeK8Vrmtw5MrlTPLlTPLkzPHKnOOXMHZkzMLlTPLlTPLkzPHKnOOX+eQcijQIf+9jH0vLly/udO/XUU9PNN99cphVVrohIra2thY/z+XxqbGxMd9xxR+Hcvn370pQpU9JPfvKTciyxIu3evTtFRGpvb08ppfTaa6+lsWPHprVr1xauefnll9OYMWPSI488Uq5lVpxjjz02/fSnP1WvAXR3d6eTTz45tbW1pYULF6brr78+peTr7HBuvfXWNHv27EM+VqrXNLkzeHJnaOTO0MidwZE7xSl37sic4sidoZE7QyN3BkfuFKfcuQMppTTiJ4x7e3ujo6MjFi9e3O/84sWLY8OGDWVa1cjx4osvRldXV7/61dfXx8KFC9XvP7z++usREXHcccdFRERHR0e89dZb/erW1NQUp512mrpFRF9fX6xduzb27t0b8+bNU68BXHvttfGZz3wmPvWpT/U7r26H9/zzz0dTU1PMnDkzLr300njhhRciojSvaXJneOTO4Mid4sid4sid4pUrd2TO8MmdwZE7xZE7xZE7xSvnzzsQEVFb7gUM1yuvvBJ9fX3R0NDQ73xDQ0N0dXWVaVUjxzs1OlT9tm/fXo4lVZyUUtxwww1x9tlnx2mnnRYRb9etrq4ujj322H7XVvvX3datW2PevHmxb9++mDhxYrS2tsaHPvSh6OzsVK/DWLt2bXR0dMTmzZsPeszX2aHNnTs3fv7zn8esWbPin//8Z9x+++0xf/782LZtW0le0+TO8MidgcmdwZM7xZM7xStn7sic4ZM7A5M7gyd3iid3ilfun3cgYhQ0jN+Ry+X6fZxSOugch6d+h7dixYp45pln4qmnnhrw2mqv2ymnnBKdnZ3x2muvxa9//eu48soro729/bDXV3u9du7cGddff32sX78+xo0bN+jPq/a6LVmypPDn008/PebNmxcnnnhirFmzJj7+8Y9HRGle07xuDo/6HZ7cGTy5Uxy5MzSVkDteM4dPDQ9P7gye3CmO3BmaSsgdGPFbUkydOjVqamoO+u3T7t27D/qNCwd755021e/QrrvuuvjNb34Tjz32WEyfPr1wvrGxMXp7e+PVV1/td321162uri5OOumkOOuss2LVqlUxe/bs+OEPf6heh9HR0RG7d++OOXPmRG1tbdTW1kZ7e3v86Ec/itra2mhoaFC3QZgwYUKcfvrp8fzzz5fkNU3uDI/cOTK5Uxy5Uxy5k41S5o7MGT65c2RypzhypzhyJxul/nkHIkZBw7iuri7mzJkTbW1t/c63tbXF/Pnzy7SqkWPmzJnR2NjYr369vb3R3t5e1fVLKcWKFSvi4YcfjkcffTRmzpzZ7/E5c+bE2LFj+9Vt165d8eyzz1Z13d4tpRQ9PT3qdRjnnntubN26NTo7OwvHWWedFcuWLSv8Wd0G1tPTE3/5y19i2rRpJXlNkzvDI3cOTe5kQ+4cmdzJRilzR+YMn9w5NLmTDblzZHInG6X+eQciIqJEb653VK1duzaNHTs2/exnP0t//vOfU3Nzc5owYUJ66aWXyr20itDd3Z22bNmStmzZkiIirV69Om3ZsiVt3749pZTSHXfckaZMmZIefvjhtHXr1vTFL34xTZs2Le3Zs6fMKy+fq6++Ok2ZMiU9/vjjadeuXYXj3//+d+Ga5cuXp+nTp6c//vGP6emnn07nnHNOmj17dtq/f38ZV14+t9xyS3riiSfSiy++mJ555pn0zW9+M40ZMyatX78+paReg/Wf7xqckrodyo033pgef/zx9MILL6SNGzemCy64IE2aNKnwml+K1zS5c2Ryp3hyp3hyJxtyZ2Dlzh2ZMzC5Uzy5Uzy5kw25M7By5w6klNKoaBinlNKPf/zjdMIJJ6S6urr0kY98JLW3t5d7SRXjscceSxFx0HHllVemlFLK5/Pp1ltvTY2Njam+vj594hOfSFu3bi3vosvsUPWKiHT//fcXrnnzzTfTihUr0nHHHZfGjx+fLrjggrRjx47yLbrMvvzlLxf+G3zve9+bzj333MI3Tymp12C9+xsodTvYJZdckqZNm5bGjh2bmpqa0tKlS9O2bdsKj5fqNU3uHJ7cKZ7cKZ7cyYbcGVgl5I7MOTK5Uzy5Uzy5kw25M7BKyB3IpZTS0Z1hBgAAAABgJBjxexgDAAAAAJANDWMAAAAAACJCwxgAAAAAgAM0jAEAAAAAiAgNYwAAAAAADtAwBgAAAAAgIjSMAQAAAAA4QMMYAAAAAICI0DCGUSGXy8W6devKvQwAqoTcAaCU5A5AaWkYwwhw1VVXRS6XO+g4//zzy700AEYhuQNAKckdgMpSW+4FAINz/vnnx/3339/vXH19fZlWA8BoJ3cAKCW5A1A5TBjDCFFfXx+NjY39jmOPPfaQ1952223R0NAQnZ2dERHR29sbN910U7z//e+PCRMmxNy5c+Pxxx8v4eoBGGnkDgClJHcAKocJYxhFUkrR3Nwc69ati6eeeipOPvnkiIj40pe+FC+99FKsXbs2mpqaorW1Nc4///zYunVr4RoAKJbcAaCU5A5AaZgwhhHit7/9bUycOLHf8Z3vfKfw+P79++OKK66I9evXx5/+9KfCN0Z/+9vf4sEHH4xf/epXsWDBgjjxxBPjG9/4Rpx99tkH/S9fAPAOuQNAKckdgMphwhhGiE9+8pNx77339jt33HHHFf789a9/Perr62Pjxo0xderUwvmnn346Ukoxa9asfp/b09MTxx9//NFdNAAjltwBoJTkDkDl0DCGEWLChAlx0kknHfbx8847Lx588MH4wx/+EMuWLSucz+fzUVNTEx0dHVFTU9PvcyZOnHjU1gvAyCZ3ACgluQNQOTSMYZS46KKL4sILL4zLLrssampq4tJLL42IiDPPPDP6+vpi9+7dsWDBgjKvEoDRQu4AUEpyB6B0NIxhhOjp6Ymurq5+52pra/v971if//zn4xe/+EVcfvnlUVtbGxdffHHMmjUrli1bFldccUX84Ac/iDPPPDNeeeWVePTRR+P000+PT3/606X+qwAwAsgdAEpJ7gBUDg1jGCEeeeSRmDZtWr9zp5xySvz1r3/td+7iiy+OfD4fl19+eYwZMyaWLl0a999/f9x+++1x4403xssvvxzHH398zJs3zzdPAByW3AGglOQOQOXIpZRSuRcBAAAAAED5jSn3AgAAAAAAqAwaxgAAAAAARISGMQAAAAAAB2gYAwAAAAAQERrGAAAAAAAcoGEMAAAAAEBEaBgDAAAAAHCAhjEAAAAAABGhYQwAAAAAwAEaxgAAAAAARISGMQAAAAAAB2gYAwAAAAAQERH/D5/mVsCEC+sWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1600x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot resutls - 2D maps with Xarray, faceted on Euler angle sets\n",
    "# Set BLM index for y-axis\n",
    "BLMplot['BLMind'] = ('BLM',np.arange(0, BLMplot.BLM.size))\n",
    "# Plot\n",
    "BLMplot.real.squeeze().plot(x='Eke', y='BLMind', col='Labels', size = 5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot results with lmPlot()\n",
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(BLMeuler, SFflag = False, eulerGroup = True,\n",
    "                                               plotDims = ('l','m','Labels'), \n",
    "                                               figsize = (15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Eke</th>\n",
       "      <th>0.1</th>\n",
       "      <th>1.1</th>\n",
       "      <th>2.1</th>\n",
       "      <th>3.1</th>\n",
       "      <th>4.1</th>\n",
       "      <th>5.1</th>\n",
       "      <th>6.1</th>\n",
       "      <th>7.1</th>\n",
       "      <th>8.1</th>\n",
       "      <th>9.1</th>\n",
       "      <th>...</th>\n",
       "      <th>41.1</th>\n",
       "      <th>42.1</th>\n",
       "      <th>43.1</th>\n",
       "      <th>44.1</th>\n",
       "      <th>45.1</th>\n",
       "      <th>46.1</th>\n",
       "      <th>47.1</th>\n",
       "      <th>48.1</th>\n",
       "      <th>49.1</th>\n",
       "      <th>50.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th>Labels</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">0</th>\n",
       "      <th>z</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">2</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">0</th>\n",
       "      <th>z</th>\n",
       "      <td>0.785011</td>\n",
       "      <td>0.293449</td>\n",
       "      <td>0.111540</td>\n",
       "      <td>0.049561</td>\n",
       "      <td>0.056243</td>\n",
       "      <td>0.104724</td>\n",
       "      <td>0.178871</td>\n",
       "      <td>0.268287</td>\n",
       "      <td>0.365983</td>\n",
       "      <td>0.467176</td>\n",
       "      <td>...</td>\n",
       "      <td>0.320748</td>\n",
       "      <td>0.389800</td>\n",
       "      <td>0.463637</td>\n",
       "      <td>0.538792</td>\n",
       "      <td>0.612895</td>\n",
       "      <td>0.684425</td>\n",
       "      <td>0.752480</td>\n",
       "      <td>0.816588</td>\n",
       "      <td>0.876568</td>\n",
       "      <td>0.932425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x</th>\n",
       "      <td>0.272486</td>\n",
       "      <td>0.637673</td>\n",
       "      <td>0.773735</td>\n",
       "      <td>0.812507</td>\n",
       "      <td>0.791447</td>\n",
       "      <td>0.732312</td>\n",
       "      <td>0.649701</td>\n",
       "      <td>0.553911</td>\n",
       "      <td>0.452233</td>\n",
       "      <td>0.349699</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764359</td>\n",
       "      <td>0.761156</td>\n",
       "      <td>0.756929</td>\n",
       "      <td>0.751725</td>\n",
       "      <td>0.745586</td>\n",
       "      <td>0.738551</td>\n",
       "      <td>0.730656</td>\n",
       "      <td>0.721932</td>\n",
       "      <td>0.712410</td>\n",
       "      <td>0.702118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.272486</td>\n",
       "      <td>0.637673</td>\n",
       "      <td>0.773735</td>\n",
       "      <td>0.812507</td>\n",
       "      <td>0.791447</td>\n",
       "      <td>0.732312</td>\n",
       "      <td>0.649701</td>\n",
       "      <td>0.553911</td>\n",
       "      <td>0.452233</td>\n",
       "      <td>0.349699</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764359</td>\n",
       "      <td>0.761156</td>\n",
       "      <td>0.756929</td>\n",
       "      <td>0.751725</td>\n",
       "      <td>0.745586</td>\n",
       "      <td>0.738551</td>\n",
       "      <td>0.730656</td>\n",
       "      <td>0.721932</td>\n",
       "      <td>0.712410</td>\n",
       "      <td>0.702118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">-2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.512057</td>\n",
       "      <td>0.586600</td>\n",
       "      <td>0.614373</td>\n",
       "      <td>0.622288</td>\n",
       "      <td>0.617989</td>\n",
       "      <td>0.605918</td>\n",
       "      <td>0.589055</td>\n",
       "      <td>0.569502</td>\n",
       "      <td>0.548747</td>\n",
       "      <td>0.527818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.300411</td>\n",
       "      <td>0.301065</td>\n",
       "      <td>0.301928</td>\n",
       "      <td>0.302990</td>\n",
       "      <td>0.304243</td>\n",
       "      <td>0.305679</td>\n",
       "      <td>0.307291</td>\n",
       "      <td>0.309072</td>\n",
       "      <td>0.311015</td>\n",
       "      <td>0.313116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.512057</td>\n",
       "      <td>0.586600</td>\n",
       "      <td>0.614373</td>\n",
       "      <td>0.622288</td>\n",
       "      <td>0.617989</td>\n",
       "      <td>0.605918</td>\n",
       "      <td>0.589055</td>\n",
       "      <td>0.569502</td>\n",
       "      <td>0.548747</td>\n",
       "      <td>0.527818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.300411</td>\n",
       "      <td>0.301065</td>\n",
       "      <td>0.301928</td>\n",
       "      <td>0.302990</td>\n",
       "      <td>0.304243</td>\n",
       "      <td>0.305679</td>\n",
       "      <td>0.307291</td>\n",
       "      <td>0.309072</td>\n",
       "      <td>0.311015</td>\n",
       "      <td>0.313116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.512057</td>\n",
       "      <td>0.586600</td>\n",
       "      <td>0.614373</td>\n",
       "      <td>0.622288</td>\n",
       "      <td>0.617989</td>\n",
       "      <td>0.605918</td>\n",
       "      <td>0.589055</td>\n",
       "      <td>0.569502</td>\n",
       "      <td>0.548747</td>\n",
       "      <td>0.527818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.300411</td>\n",
       "      <td>0.301065</td>\n",
       "      <td>0.301928</td>\n",
       "      <td>0.302990</td>\n",
       "      <td>0.304243</td>\n",
       "      <td>0.305679</td>\n",
       "      <td>0.307291</td>\n",
       "      <td>0.309072</td>\n",
       "      <td>0.311015</td>\n",
       "      <td>0.313116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.512057</td>\n",
       "      <td>0.586600</td>\n",
       "      <td>0.614373</td>\n",
       "      <td>0.622288</td>\n",
       "      <td>0.617989</td>\n",
       "      <td>0.605918</td>\n",
       "      <td>0.589055</td>\n",
       "      <td>0.569502</td>\n",
       "      <td>0.548747</td>\n",
       "      <td>0.527818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.300411</td>\n",
       "      <td>0.301065</td>\n",
       "      <td>0.301928</td>\n",
       "      <td>0.302990</td>\n",
       "      <td>0.304243</td>\n",
       "      <td>0.305679</td>\n",
       "      <td>0.307291</td>\n",
       "      <td>0.309072</td>\n",
       "      <td>0.311015</td>\n",
       "      <td>0.313116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">4</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">0</th>\n",
       "      <th>z</th>\n",
       "      <td>0.040440</td>\n",
       "      <td>0.474638</td>\n",
       "      <td>0.598502</td>\n",
       "      <td>0.603911</td>\n",
       "      <td>0.543444</td>\n",
       "      <td>0.444731</td>\n",
       "      <td>0.324406</td>\n",
       "      <td>0.193160</td>\n",
       "      <td>0.058087</td>\n",
       "      <td>0.076090</td>\n",
       "      <td>...</td>\n",
       "      <td>0.405478</td>\n",
       "      <td>0.321374</td>\n",
       "      <td>0.231758</td>\n",
       "      <td>0.140971</td>\n",
       "      <td>0.051947</td>\n",
       "      <td>0.033463</td>\n",
       "      <td>0.114184</td>\n",
       "      <td>0.189684</td>\n",
       "      <td>0.259784</td>\n",
       "      <td>0.324538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x</th>\n",
       "      <td>0.059137</td>\n",
       "      <td>0.269489</td>\n",
       "      <td>0.430702</td>\n",
       "      <td>0.519099</td>\n",
       "      <td>0.560386</td>\n",
       "      <td>0.569288</td>\n",
       "      <td>0.555695</td>\n",
       "      <td>0.526731</td>\n",
       "      <td>0.487676</td>\n",
       "      <td>0.442441</td>\n",
       "      <td>...</td>\n",
       "      <td>0.434418</td>\n",
       "      <td>0.441791</td>\n",
       "      <td>0.448488</td>\n",
       "      <td>0.454535</td>\n",
       "      <td>0.459955</td>\n",
       "      <td>0.464771</td>\n",
       "      <td>0.469002</td>\n",
       "      <td>0.472664</td>\n",
       "      <td>0.475772</td>\n",
       "      <td>0.478341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.059137</td>\n",
       "      <td>0.269489</td>\n",
       "      <td>0.430702</td>\n",
       "      <td>0.519099</td>\n",
       "      <td>0.560386</td>\n",
       "      <td>0.569288</td>\n",
       "      <td>0.555695</td>\n",
       "      <td>0.526731</td>\n",
       "      <td>0.487676</td>\n",
       "      <td>0.442441</td>\n",
       "      <td>...</td>\n",
       "      <td>0.434418</td>\n",
       "      <td>0.441791</td>\n",
       "      <td>0.448488</td>\n",
       "      <td>0.454535</td>\n",
       "      <td>0.459955</td>\n",
       "      <td>0.464771</td>\n",
       "      <td>0.469002</td>\n",
       "      <td>0.472664</td>\n",
       "      <td>0.475772</td>\n",
       "      <td>0.478341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">-2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.080476</td>\n",
       "      <td>0.152557</td>\n",
       "      <td>0.251643</td>\n",
       "      <td>0.293304</td>\n",
       "      <td>0.298915</td>\n",
       "      <td>0.280822</td>\n",
       "      <td>0.247316</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>0.155991</td>\n",
       "      <td>0.105436</td>\n",
       "      <td>...</td>\n",
       "      <td>0.565731</td>\n",
       "      <td>0.566930</td>\n",
       "      <td>0.567553</td>\n",
       "      <td>0.567625</td>\n",
       "      <td>0.567169</td>\n",
       "      <td>0.566205</td>\n",
       "      <td>0.564751</td>\n",
       "      <td>0.562825</td>\n",
       "      <td>0.560441</td>\n",
       "      <td>0.557615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.080476</td>\n",
       "      <td>0.152557</td>\n",
       "      <td>0.251643</td>\n",
       "      <td>0.293304</td>\n",
       "      <td>0.298915</td>\n",
       "      <td>0.280822</td>\n",
       "      <td>0.247316</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>0.155991</td>\n",
       "      <td>0.105436</td>\n",
       "      <td>...</td>\n",
       "      <td>0.565731</td>\n",
       "      <td>0.566930</td>\n",
       "      <td>0.567553</td>\n",
       "      <td>0.567625</td>\n",
       "      <td>0.567169</td>\n",
       "      <td>0.566205</td>\n",
       "      <td>0.564751</td>\n",
       "      <td>0.562825</td>\n",
       "      <td>0.560441</td>\n",
       "      <td>0.557615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.080476</td>\n",
       "      <td>0.152557</td>\n",
       "      <td>0.251643</td>\n",
       "      <td>0.293304</td>\n",
       "      <td>0.298915</td>\n",
       "      <td>0.280822</td>\n",
       "      <td>0.247316</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>0.155991</td>\n",
       "      <td>0.105436</td>\n",
       "      <td>...</td>\n",
       "      <td>0.565731</td>\n",
       "      <td>0.566930</td>\n",
       "      <td>0.567553</td>\n",
       "      <td>0.567625</td>\n",
       "      <td>0.567169</td>\n",
       "      <td>0.566205</td>\n",
       "      <td>0.564751</td>\n",
       "      <td>0.562825</td>\n",
       "      <td>0.560441</td>\n",
       "      <td>0.557615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.080476</td>\n",
       "      <td>0.152557</td>\n",
       "      <td>0.251643</td>\n",
       "      <td>0.293304</td>\n",
       "      <td>0.298915</td>\n",
       "      <td>0.280822</td>\n",
       "      <td>0.247316</td>\n",
       "      <td>0.204290</td>\n",
       "      <td>0.155991</td>\n",
       "      <td>0.105436</td>\n",
       "      <td>...</td>\n",
       "      <td>0.565731</td>\n",
       "      <td>0.566930</td>\n",
       "      <td>0.567553</td>\n",
       "      <td>0.567625</td>\n",
       "      <td>0.567169</td>\n",
       "      <td>0.566205</td>\n",
       "      <td>0.564751</td>\n",
       "      <td>0.562825</td>\n",
       "      <td>0.560441</td>\n",
       "      <td>0.557615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">6</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">0</th>\n",
       "      <th>z</th>\n",
       "      <td>0.068194</td>\n",
       "      <td>0.122431</td>\n",
       "      <td>0.179261</td>\n",
       "      <td>0.235361</td>\n",
       "      <td>0.289105</td>\n",
       "      <td>0.339558</td>\n",
       "      <td>0.386124</td>\n",
       "      <td>0.428443</td>\n",
       "      <td>0.466366</td>\n",
       "      <td>0.499925</td>\n",
       "      <td>...</td>\n",
       "      <td>0.164395</td>\n",
       "      <td>0.179851</td>\n",
       "      <td>0.196062</td>\n",
       "      <td>0.212134</td>\n",
       "      <td>0.227491</td>\n",
       "      <td>0.241791</td>\n",
       "      <td>0.254860</td>\n",
       "      <td>0.266630</td>\n",
       "      <td>0.277105</td>\n",
       "      <td>0.286334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x</th>\n",
       "      <td>0.059156</td>\n",
       "      <td>0.106111</td>\n",
       "      <td>0.155866</td>\n",
       "      <td>0.205371</td>\n",
       "      <td>0.252784</td>\n",
       "      <td>0.296866</td>\n",
       "      <td>0.336789</td>\n",
       "      <td>0.372096</td>\n",
       "      <td>0.402658</td>\n",
       "      <td>0.428609</td>\n",
       "      <td>...</td>\n",
       "      <td>0.389928</td>\n",
       "      <td>0.381806</td>\n",
       "      <td>0.373613</td>\n",
       "      <td>0.365354</td>\n",
       "      <td>0.357037</td>\n",
       "      <td>0.348667</td>\n",
       "      <td>0.340251</td>\n",
       "      <td>0.331793</td>\n",
       "      <td>0.323301</td>\n",
       "      <td>0.314781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.059156</td>\n",
       "      <td>0.106111</td>\n",
       "      <td>0.155866</td>\n",
       "      <td>0.205371</td>\n",
       "      <td>0.252784</td>\n",
       "      <td>0.296866</td>\n",
       "      <td>0.336789</td>\n",
       "      <td>0.372096</td>\n",
       "      <td>0.402658</td>\n",
       "      <td>0.428609</td>\n",
       "      <td>...</td>\n",
       "      <td>0.389928</td>\n",
       "      <td>0.381806</td>\n",
       "      <td>0.373613</td>\n",
       "      <td>0.365354</td>\n",
       "      <td>0.357037</td>\n",
       "      <td>0.348667</td>\n",
       "      <td>0.340251</td>\n",
       "      <td>0.331793</td>\n",
       "      <td>0.323301</td>\n",
       "      <td>0.314781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">-2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.040411</td>\n",
       "      <td>0.072488</td>\n",
       "      <td>0.106477</td>\n",
       "      <td>0.140295</td>\n",
       "      <td>0.172685</td>\n",
       "      <td>0.202798</td>\n",
       "      <td>0.230071</td>\n",
       "      <td>0.254190</td>\n",
       "      <td>0.275068</td>\n",
       "      <td>0.292796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.266372</td>\n",
       "      <td>0.260823</td>\n",
       "      <td>0.255226</td>\n",
       "      <td>0.249585</td>\n",
       "      <td>0.243903</td>\n",
       "      <td>0.238185</td>\n",
       "      <td>0.232435</td>\n",
       "      <td>0.226658</td>\n",
       "      <td>0.220857</td>\n",
       "      <td>0.215037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.040411</td>\n",
       "      <td>0.072488</td>\n",
       "      <td>0.106477</td>\n",
       "      <td>0.140295</td>\n",
       "      <td>0.172685</td>\n",
       "      <td>0.202798</td>\n",
       "      <td>0.230071</td>\n",
       "      <td>0.254190</td>\n",
       "      <td>0.275068</td>\n",
       "      <td>0.292796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.266372</td>\n",
       "      <td>0.260823</td>\n",
       "      <td>0.255226</td>\n",
       "      <td>0.249585</td>\n",
       "      <td>0.243903</td>\n",
       "      <td>0.238185</td>\n",
       "      <td>0.232435</td>\n",
       "      <td>0.226658</td>\n",
       "      <td>0.220857</td>\n",
       "      <td>0.215037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2</th>\n",
       "      <th>x</th>\n",
       "      <td>0.040411</td>\n",
       "      <td>0.072488</td>\n",
       "      <td>0.106477</td>\n",
       "      <td>0.140295</td>\n",
       "      <td>0.172685</td>\n",
       "      <td>0.202798</td>\n",
       "      <td>0.230071</td>\n",
       "      <td>0.254190</td>\n",
       "      <td>0.275068</td>\n",
       "      <td>0.292796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.266372</td>\n",
       "      <td>0.260823</td>\n",
       "      <td>0.255226</td>\n",
       "      <td>0.249585</td>\n",
       "      <td>0.243903</td>\n",
       "      <td>0.238185</td>\n",
       "      <td>0.232435</td>\n",
       "      <td>0.226658</td>\n",
       "      <td>0.220857</td>\n",
       "      <td>0.215037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>0.040411</td>\n",
       "      <td>0.072488</td>\n",
       "      <td>0.106477</td>\n",
       "      <td>0.140295</td>\n",
       "      <td>0.172685</td>\n",
       "      <td>0.202798</td>\n",
       "      <td>0.230071</td>\n",
       "      <td>0.254190</td>\n",
       "      <td>0.275068</td>\n",
       "      <td>0.292796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.266372</td>\n",
       "      <td>0.260823</td>\n",
       "      <td>0.255226</td>\n",
       "      <td>0.249585</td>\n",
       "      <td>0.243903</td>\n",
       "      <td>0.238185</td>\n",
       "      <td>0.232435</td>\n",
       "      <td>0.226658</td>\n",
       "      <td>0.220857</td>\n",
       "      <td>0.215037</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Eke              0.1       1.1       2.1       3.1       4.1       5.1   \\\n",
       "l m  Labels                                                               \n",
       "0  0 z       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "     x       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "     y       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "2  0 z       0.785011  0.293449  0.111540  0.049561  0.056243  0.104724   \n",
       "     x       0.272486  0.637673  0.773735  0.812507  0.791447  0.732312   \n",
       "     y       0.272486  0.637673  0.773735  0.812507  0.791447  0.732312   \n",
       "  -2 x       0.512057  0.586600  0.614373  0.622288  0.617989  0.605918   \n",
       "     y       0.512057  0.586600  0.614373  0.622288  0.617989  0.605918   \n",
       "   2 x       0.512057  0.586600  0.614373  0.622288  0.617989  0.605918   \n",
       "     y       0.512057  0.586600  0.614373  0.622288  0.617989  0.605918   \n",
       "4  0 z       0.040440  0.474638  0.598502  0.603911  0.543444  0.444731   \n",
       "     x       0.059137  0.269489  0.430702  0.519099  0.560386  0.569288   \n",
       "     y       0.059137  0.269489  0.430702  0.519099  0.560386  0.569288   \n",
       "  -2 x       0.080476  0.152557  0.251643  0.293304  0.298915  0.280822   \n",
       "     y       0.080476  0.152557  0.251643  0.293304  0.298915  0.280822   \n",
       "   2 x       0.080476  0.152557  0.251643  0.293304  0.298915  0.280822   \n",
       "     y       0.080476  0.152557  0.251643  0.293304  0.298915  0.280822   \n",
       "6  0 z       0.068194  0.122431  0.179261  0.235361  0.289105  0.339558   \n",
       "     x       0.059156  0.106111  0.155866  0.205371  0.252784  0.296866   \n",
       "     y       0.059156  0.106111  0.155866  0.205371  0.252784  0.296866   \n",
       "  -2 x       0.040411  0.072488  0.106477  0.140295  0.172685  0.202798   \n",
       "     y       0.040411  0.072488  0.106477  0.140295  0.172685  0.202798   \n",
       "   2 x       0.040411  0.072488  0.106477  0.140295  0.172685  0.202798   \n",
       "     y       0.040411  0.072488  0.106477  0.140295  0.172685  0.202798   \n",
       "\n",
       "Eke              6.1       7.1       8.1       9.1   ...      41.1      42.1  \\\n",
       "l m  Labels                                          ...                       \n",
       "0  0 z       1.000000  1.000000  1.000000  1.000000  ...  1.000000  1.000000   \n",
       "     x       1.000000  1.000000  1.000000  1.000000  ...  1.000000  1.000000   \n",
       "     y       1.000000  1.000000  1.000000  1.000000  ...  1.000000  1.000000   \n",
       "2  0 z       0.178871  0.268287  0.365983  0.467176  ...  0.320748  0.389800   \n",
       "     x       0.649701  0.553911  0.452233  0.349699  ...  0.764359  0.761156   \n",
       "     y       0.649701  0.553911  0.452233  0.349699  ...  0.764359  0.761156   \n",
       "  -2 x       0.589055  0.569502  0.548747  0.527818  ...  0.300411  0.301065   \n",
       "     y       0.589055  0.569502  0.548747  0.527818  ...  0.300411  0.301065   \n",
       "   2 x       0.589055  0.569502  0.548747  0.527818  ...  0.300411  0.301065   \n",
       "     y       0.589055  0.569502  0.548747  0.527818  ...  0.300411  0.301065   \n",
       "4  0 z       0.324406  0.193160  0.058087  0.076090  ...  0.405478  0.321374   \n",
       "     x       0.555695  0.526731  0.487676  0.442441  ...  0.434418  0.441791   \n",
       "     y       0.555695  0.526731  0.487676  0.442441  ...  0.434418  0.441791   \n",
       "  -2 x       0.247316  0.204290  0.155991  0.105436  ...  0.565731  0.566930   \n",
       "     y       0.247316  0.204290  0.155991  0.105436  ...  0.565731  0.566930   \n",
       "   2 x       0.247316  0.204290  0.155991  0.105436  ...  0.565731  0.566930   \n",
       "     y       0.247316  0.204290  0.155991  0.105436  ...  0.565731  0.566930   \n",
       "6  0 z       0.386124  0.428443  0.466366  0.499925  ...  0.164395  0.179851   \n",
       "     x       0.336789  0.372096  0.402658  0.428609  ...  0.389928  0.381806   \n",
       "     y       0.336789  0.372096  0.402658  0.428609  ...  0.389928  0.381806   \n",
       "  -2 x       0.230071  0.254190  0.275068  0.292796  ...  0.266372  0.260823   \n",
       "     y       0.230071  0.254190  0.275068  0.292796  ...  0.266372  0.260823   \n",
       "   2 x       0.230071  0.254190  0.275068  0.292796  ...  0.266372  0.260823   \n",
       "     y       0.230071  0.254190  0.275068  0.292796  ...  0.266372  0.260823   \n",
       "\n",
       "Eke              43.1      44.1      45.1      46.1      47.1      48.1  \\\n",
       "l m  Labels                                                               \n",
       "0  0 z       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "     x       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "     y       1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "2  0 z       0.463637  0.538792  0.612895  0.684425  0.752480  0.816588   \n",
       "     x       0.756929  0.751725  0.745586  0.738551  0.730656  0.721932   \n",
       "     y       0.756929  0.751725  0.745586  0.738551  0.730656  0.721932   \n",
       "  -2 x       0.301928  0.302990  0.304243  0.305679  0.307291  0.309072   \n",
       "     y       0.301928  0.302990  0.304243  0.305679  0.307291  0.309072   \n",
       "   2 x       0.301928  0.302990  0.304243  0.305679  0.307291  0.309072   \n",
       "     y       0.301928  0.302990  0.304243  0.305679  0.307291  0.309072   \n",
       "4  0 z       0.231758  0.140971  0.051947  0.033463  0.114184  0.189684   \n",
       "     x       0.448488  0.454535  0.459955  0.464771  0.469002  0.472664   \n",
       "     y       0.448488  0.454535  0.459955  0.464771  0.469002  0.472664   \n",
       "  -2 x       0.567553  0.567625  0.567169  0.566205  0.564751  0.562825   \n",
       "     y       0.567553  0.567625  0.567169  0.566205  0.564751  0.562825   \n",
       "   2 x       0.567553  0.567625  0.567169  0.566205  0.564751  0.562825   \n",
       "     y       0.567553  0.567625  0.567169  0.566205  0.564751  0.562825   \n",
       "6  0 z       0.196062  0.212134  0.227491  0.241791  0.254860  0.266630   \n",
       "     x       0.373613  0.365354  0.357037  0.348667  0.340251  0.331793   \n",
       "     y       0.373613  0.365354  0.357037  0.348667  0.340251  0.331793   \n",
       "  -2 x       0.255226  0.249585  0.243903  0.238185  0.232435  0.226658   \n",
       "     y       0.255226  0.249585  0.243903  0.238185  0.232435  0.226658   \n",
       "   2 x       0.255226  0.249585  0.243903  0.238185  0.232435  0.226658   \n",
       "     y       0.255226  0.249585  0.243903  0.238185  0.232435  0.226658   \n",
       "\n",
       "Eke              49.1      50.1  \n",
       "l m  Labels                      \n",
       "0  0 z       1.000000  1.000000  \n",
       "     x       1.000000  1.000000  \n",
       "     y       1.000000  1.000000  \n",
       "2  0 z       0.876568  0.932425  \n",
       "     x       0.712410  0.702118  \n",
       "     y       0.712410  0.702118  \n",
       "  -2 x       0.311015  0.313116  \n",
       "     y       0.311015  0.313116  \n",
       "   2 x       0.311015  0.313116  \n",
       "     y       0.311015  0.313116  \n",
       "4  0 z       0.259784  0.324538  \n",
       "     x       0.475772  0.478341  \n",
       "     y       0.475772  0.478341  \n",
       "  -2 x       0.560441  0.557615  \n",
       "     y       0.560441  0.557615  \n",
       "   2 x       0.560441  0.557615  \n",
       "     y       0.560441  0.557615  \n",
       "6  0 z       0.277105  0.286334  \n",
       "     x       0.323301  0.314781  \n",
       "     y       0.323301  0.314781  \n",
       "  -2 x       0.220857  0.215037  \n",
       "     y       0.220857  0.215037  \n",
       "   2 x       0.220857  0.215037  \n",
       "     y       0.220857  0.215037  \n",
       "\n",
       "[24 rows x 51 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daPlotpd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "- Look at correlations over all (l,m,Euler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<epsproc._sns_matrixMod.ClusterGrid at 0x2298740d6a0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep.snsMatMod.clustermap(daPlotpd.T.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "- Replot with sorting by Euler sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot results with lmPlot(), ordering by Euler sets\n",
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(BLMeuler, SFflag = False, eulerGroup = True,\n",
    "                                               plotDims = ('Labels','l','m'), \n",
    "                                               figsize = (15,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... and including cross-section ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting data n2_3sg_0.1-50.1eV_A2.inp.out, pType=a, thres=0.01, with Seaborn\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot results with lmPlot(), ordering by Euler sets + use XS\n",
    "# NOTE - this currently plots with unstacked Euler angles (P,T,C) - should change to treat these as a stacked set.\n",
    "daPlot, daPlotpd, legendList, gFig = ep.lmPlot(BLMeuler, SFflag = True,\n",
    "                                               plotDims = ('Labels','l','m'), \n",
    "                                               figsize = (15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Eke</th>\n",
       "      <th>0.1</th>\n",
       "      <th>1.1</th>\n",
       "      <th>2.1</th>\n",
       "      <th>3.1</th>\n",
       "      <th>4.1</th>\n",
       "      <th>5.1</th>\n",
       "      <th>6.1</th>\n",
       "      <th>7.1</th>\n",
       "      <th>8.1</th>\n",
       "      <th>9.1</th>\n",
       "      <th>...</th>\n",
       "      <th>41.1</th>\n",
       "      <th>42.1</th>\n",
       "      <th>43.1</th>\n",
       "      <th>44.1</th>\n",
       "      <th>45.1</th>\n",
       "      <th>46.1</th>\n",
       "      <th>47.1</th>\n",
       "      <th>48.1</th>\n",
       "      <th>49.1</th>\n",
       "      <th>50.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Labels</th>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">z</th>\n",
       "      <th>0</th>\n",
       "      <th>0</th>\n",
       "      <td>9.938070</td>\n",
       "      <td>10.137061</td>\n",
       "      <td>10.536345</td>\n",
       "      <td>11.091344</td>\n",
       "      <td>11.782562</td>\n",
       "      <td>12.601551</td>\n",
       "      <td>13.542177</td>\n",
       "      <td>14.594115</td>\n",
       "      <td>15.735898</td>\n",
       "      <td>16.925624</td>\n",
       "      <td>...</td>\n",
       "      <td>0.312529</td>\n",
       "      <td>0.322779</td>\n",
       "      <td>0.334491</td>\n",
       "      <td>0.347201</td>\n",
       "      <td>0.360532</td>\n",
       "      <td>0.374177</td>\n",
       "      <td>0.387879</td>\n",
       "      <td>0.401433</td>\n",
       "      <td>0.414667</td>\n",
       "      <td>0.427443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>0</th>\n",
       "      <td>7.801490</td>\n",
       "      <td>2.974707</td>\n",
       "      <td>1.175228</td>\n",
       "      <td>0.549695</td>\n",
       "      <td>0.662683</td>\n",
       "      <td>1.319691</td>\n",
       "      <td>2.422303</td>\n",
       "      <td>3.915404</td>\n",
       "      <td>5.759074</td>\n",
       "      <td>7.907254</td>\n",
       "      <td>...</td>\n",
       "      <td>0.100243</td>\n",
       "      <td>0.125819</td>\n",
       "      <td>0.155082</td>\n",
       "      <td>0.187069</td>\n",
       "      <td>0.220969</td>\n",
       "      <td>0.256096</td>\n",
       "      <td>0.291871</td>\n",
       "      <td>0.327805</td>\n",
       "      <td>0.363484</td>\n",
       "      <td>0.398559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <th>0</th>\n",
       "      <td>0.401896</td>\n",
       "      <td>4.811433</td>\n",
       "      <td>6.306021</td>\n",
       "      <td>6.698186</td>\n",
       "      <td>6.403164</td>\n",
       "      <td>5.604304</td>\n",
       "      <td>4.393168</td>\n",
       "      <td>2.819004</td>\n",
       "      <td>0.914053</td>\n",
       "      <td>1.287878</td>\n",
       "      <td>...</td>\n",
       "      <td>0.126724</td>\n",
       "      <td>0.103733</td>\n",
       "      <td>0.077521</td>\n",
       "      <td>0.048945</td>\n",
       "      <td>0.018729</td>\n",
       "      <td>0.012521</td>\n",
       "      <td>0.044290</td>\n",
       "      <td>0.076145</td>\n",
       "      <td>0.107724</td>\n",
       "      <td>0.138722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <th>0</th>\n",
       "      <td>0.677715</td>\n",
       "      <td>1.241087</td>\n",
       "      <td>1.888756</td>\n",
       "      <td>2.610470</td>\n",
       "      <td>3.406393</td>\n",
       "      <td>4.278957</td>\n",
       "      <td>5.228955</td>\n",
       "      <td>6.252740</td>\n",
       "      <td>7.338681</td>\n",
       "      <td>8.461538</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051378</td>\n",
       "      <td>0.058052</td>\n",
       "      <td>0.065581</td>\n",
       "      <td>0.073653</td>\n",
       "      <td>0.082018</td>\n",
       "      <td>0.090473</td>\n",
       "      <td>0.098855</td>\n",
       "      <td>0.107034</td>\n",
       "      <td>0.114906</td>\n",
       "      <td>0.122391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">x</th>\n",
       "      <th>0</th>\n",
       "      <th>0</th>\n",
       "      <td>4.780633</td>\n",
       "      <td>4.596718</td>\n",
       "      <td>4.500082</td>\n",
       "      <td>4.463496</td>\n",
       "      <td>4.471544</td>\n",
       "      <td>4.513611</td>\n",
       "      <td>4.580735</td>\n",
       "      <td>4.664598</td>\n",
       "      <td>4.757434</td>\n",
       "      <td>4.852244</td>\n",
       "      <td>...</td>\n",
       "      <td>2.658339</td>\n",
       "      <td>2.549036</td>\n",
       "      <td>2.442990</td>\n",
       "      <td>2.340289</td>\n",
       "      <td>2.240996</td>\n",
       "      <td>2.145147</td>\n",
       "      <td>2.052760</td>\n",
       "      <td>1.963831</td>\n",
       "      <td>1.878342</td>\n",
       "      <td>1.796260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2</th>\n",
       "      <th>0</th>\n",
       "      <td>1.302658</td>\n",
       "      <td>2.931201</td>\n",
       "      <td>3.481869</td>\n",
       "      <td>3.626621</td>\n",
       "      <td>3.538992</td>\n",
       "      <td>3.305371</td>\n",
       "      <td>2.976108</td>\n",
       "      <td>2.583773</td>\n",
       "      <td>2.151469</td>\n",
       "      <td>1.696826</td>\n",
       "      <td>...</td>\n",
       "      <td>2.031927</td>\n",
       "      <td>1.940213</td>\n",
       "      <td>1.849169</td>\n",
       "      <td>1.759253</td>\n",
       "      <td>1.670856</td>\n",
       "      <td>1.584301</td>\n",
       "      <td>1.499861</td>\n",
       "      <td>1.417752</td>\n",
       "      <td>1.338150</td>\n",
       "      <td>1.261186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>2.447955</td>\n",
       "      <td>2.696434</td>\n",
       "      <td>2.764731</td>\n",
       "      <td>2.777579</td>\n",
       "      <td>2.763365</td>\n",
       "      <td>2.734878</td>\n",
       "      <td>2.698305</td>\n",
       "      <td>2.656499</td>\n",
       "      <td>2.610629</td>\n",
       "      <td>2.561100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.798595</td>\n",
       "      <td>0.767426</td>\n",
       "      <td>0.737607</td>\n",
       "      <td>0.709085</td>\n",
       "      <td>0.681808</td>\n",
       "      <td>0.655727</td>\n",
       "      <td>0.630795</td>\n",
       "      <td>0.606965</td>\n",
       "      <td>0.584193</td>\n",
       "      <td>0.562438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.447955</td>\n",
       "      <td>2.696434</td>\n",
       "      <td>2.764731</td>\n",
       "      <td>2.777579</td>\n",
       "      <td>2.763365</td>\n",
       "      <td>2.734878</td>\n",
       "      <td>2.698305</td>\n",
       "      <td>2.656499</td>\n",
       "      <td>2.610629</td>\n",
       "      <td>2.561100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.798595</td>\n",
       "      <td>0.767426</td>\n",
       "      <td>0.737607</td>\n",
       "      <td>0.709085</td>\n",
       "      <td>0.681808</td>\n",
       "      <td>0.655727</td>\n",
       "      <td>0.630795</td>\n",
       "      <td>0.606965</td>\n",
       "      <td>0.584193</td>\n",
       "      <td>0.562438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">4</th>\n",
       "      <th>0</th>\n",
       "      <td>0.282713</td>\n",
       "      <td>1.238766</td>\n",
       "      <td>1.938195</td>\n",
       "      <td>2.316998</td>\n",
       "      <td>2.505790</td>\n",
       "      <td>2.569545</td>\n",
       "      <td>2.545493</td>\n",
       "      <td>2.456989</td>\n",
       "      <td>2.320085</td>\n",
       "      <td>2.146831</td>\n",
       "      <td>...</td>\n",
       "      <td>1.154830</td>\n",
       "      <td>1.126141</td>\n",
       "      <td>1.095651</td>\n",
       "      <td>1.063742</td>\n",
       "      <td>1.030758</td>\n",
       "      <td>0.997002</td>\n",
       "      <td>0.962748</td>\n",
       "      <td>0.928232</td>\n",
       "      <td>0.893663</td>\n",
       "      <td>0.859225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>0.384727</td>\n",
       "      <td>0.701263</td>\n",
       "      <td>1.132412</td>\n",
       "      <td>1.309163</td>\n",
       "      <td>1.336610</td>\n",
       "      <td>1.267522</td>\n",
       "      <td>1.132891</td>\n",
       "      <td>0.952932</td>\n",
       "      <td>0.742118</td>\n",
       "      <td>0.511599</td>\n",
       "      <td>...</td>\n",
       "      <td>1.503904</td>\n",
       "      <td>1.445124</td>\n",
       "      <td>1.386526</td>\n",
       "      <td>1.328407</td>\n",
       "      <td>1.271023</td>\n",
       "      <td>1.214593</td>\n",
       "      <td>1.159298</td>\n",
       "      <td>1.105293</td>\n",
       "      <td>1.052700</td>\n",
       "      <td>1.001621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.384727</td>\n",
       "      <td>0.701263</td>\n",
       "      <td>1.132412</td>\n",
       "      <td>1.309163</td>\n",
       "      <td>1.336610</td>\n",
       "      <td>1.267522</td>\n",
       "      <td>1.132891</td>\n",
       "      <td>0.952932</td>\n",
       "      <td>0.742118</td>\n",
       "      <td>0.511599</td>\n",
       "      <td>...</td>\n",
       "      <td>1.503904</td>\n",
       "      <td>1.445124</td>\n",
       "      <td>1.386526</td>\n",
       "      <td>1.328407</td>\n",
       "      <td>1.271023</td>\n",
       "      <td>1.214593</td>\n",
       "      <td>1.159298</td>\n",
       "      <td>1.105293</td>\n",
       "      <td>1.052700</td>\n",
       "      <td>1.001621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">6</th>\n",
       "      <th>0</th>\n",
       "      <td>0.282804</td>\n",
       "      <td>0.487763</td>\n",
       "      <td>0.701410</td>\n",
       "      <td>0.916675</td>\n",
       "      <td>1.130337</td>\n",
       "      <td>1.339937</td>\n",
       "      <td>1.542742</td>\n",
       "      <td>1.735677</td>\n",
       "      <td>1.915618</td>\n",
       "      <td>2.079715</td>\n",
       "      <td>...</td>\n",
       "      <td>1.036562</td>\n",
       "      <td>0.973238</td>\n",
       "      <td>0.912732</td>\n",
       "      <td>0.855035</td>\n",
       "      <td>0.800119</td>\n",
       "      <td>0.747943</td>\n",
       "      <td>0.698453</td>\n",
       "      <td>0.651586</td>\n",
       "      <td>0.607271</td>\n",
       "      <td>0.565429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>0.193192</td>\n",
       "      <td>0.333205</td>\n",
       "      <td>0.479155</td>\n",
       "      <td>0.626208</td>\n",
       "      <td>0.772167</td>\n",
       "      <td>0.915352</td>\n",
       "      <td>1.053893</td>\n",
       "      <td>1.185693</td>\n",
       "      <td>1.308616</td>\n",
       "      <td>1.420716</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708106</td>\n",
       "      <td>0.664848</td>\n",
       "      <td>0.623515</td>\n",
       "      <td>0.584100</td>\n",
       "      <td>0.546585</td>\n",
       "      <td>0.510942</td>\n",
       "      <td>0.477134</td>\n",
       "      <td>0.445118</td>\n",
       "      <td>0.414845</td>\n",
       "      <td>0.386261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.193192</td>\n",
       "      <td>0.333205</td>\n",
       "      <td>0.479155</td>\n",
       "      <td>0.626208</td>\n",
       "      <td>0.772167</td>\n",
       "      <td>0.915352</td>\n",
       "      <td>1.053893</td>\n",
       "      <td>1.185693</td>\n",
       "      <td>1.308616</td>\n",
       "      <td>1.420716</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708106</td>\n",
       "      <td>0.664848</td>\n",
       "      <td>0.623515</td>\n",
       "      <td>0.584100</td>\n",
       "      <td>0.546585</td>\n",
       "      <td>0.510942</td>\n",
       "      <td>0.477134</td>\n",
       "      <td>0.445118</td>\n",
       "      <td>0.414845</td>\n",
       "      <td>0.386261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">y</th>\n",
       "      <th>0</th>\n",
       "      <th>0</th>\n",
       "      <td>4.780633</td>\n",
       "      <td>4.596718</td>\n",
       "      <td>4.500082</td>\n",
       "      <td>4.463496</td>\n",
       "      <td>4.471544</td>\n",
       "      <td>4.513611</td>\n",
       "      <td>4.580735</td>\n",
       "      <td>4.664598</td>\n",
       "      <td>4.757434</td>\n",
       "      <td>4.852244</td>\n",
       "      <td>...</td>\n",
       "      <td>2.658339</td>\n",
       "      <td>2.549036</td>\n",
       "      <td>2.442990</td>\n",
       "      <td>2.340289</td>\n",
       "      <td>2.240996</td>\n",
       "      <td>2.145147</td>\n",
       "      <td>2.052760</td>\n",
       "      <td>1.963831</td>\n",
       "      <td>1.878342</td>\n",
       "      <td>1.796260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2</th>\n",
       "      <th>0</th>\n",
       "      <td>1.302658</td>\n",
       "      <td>2.931201</td>\n",
       "      <td>3.481869</td>\n",
       "      <td>3.626621</td>\n",
       "      <td>3.538992</td>\n",
       "      <td>3.305371</td>\n",
       "      <td>2.976108</td>\n",
       "      <td>2.583773</td>\n",
       "      <td>2.151469</td>\n",
       "      <td>1.696826</td>\n",
       "      <td>...</td>\n",
       "      <td>2.031927</td>\n",
       "      <td>1.940213</td>\n",
       "      <td>1.849169</td>\n",
       "      <td>1.759253</td>\n",
       "      <td>1.670856</td>\n",
       "      <td>1.584301</td>\n",
       "      <td>1.499861</td>\n",
       "      <td>1.417752</td>\n",
       "      <td>1.338150</td>\n",
       "      <td>1.261186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>2.447955</td>\n",
       "      <td>2.696434</td>\n",
       "      <td>2.764731</td>\n",
       "      <td>2.777579</td>\n",
       "      <td>2.763365</td>\n",
       "      <td>2.734878</td>\n",
       "      <td>2.698305</td>\n",
       "      <td>2.656499</td>\n",
       "      <td>2.610629</td>\n",
       "      <td>2.561100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.798595</td>\n",
       "      <td>0.767426</td>\n",
       "      <td>0.737607</td>\n",
       "      <td>0.709085</td>\n",
       "      <td>0.681808</td>\n",
       "      <td>0.655727</td>\n",
       "      <td>0.630795</td>\n",
       "      <td>0.606965</td>\n",
       "      <td>0.584193</td>\n",
       "      <td>0.562438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.447955</td>\n",
       "      <td>2.696434</td>\n",
       "      <td>2.764731</td>\n",
       "      <td>2.777579</td>\n",
       "      <td>2.763365</td>\n",
       "      <td>2.734878</td>\n",
       "      <td>2.698305</td>\n",
       "      <td>2.656499</td>\n",
       "      <td>2.610629</td>\n",
       "      <td>2.561100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.798595</td>\n",
       "      <td>0.767426</td>\n",
       "      <td>0.737607</td>\n",
       "      <td>0.709085</td>\n",
       "      <td>0.681808</td>\n",
       "      <td>0.655727</td>\n",
       "      <td>0.630795</td>\n",
       "      <td>0.606965</td>\n",
       "      <td>0.584193</td>\n",
       "      <td>0.562438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">4</th>\n",
       "      <th>0</th>\n",
       "      <td>0.282713</td>\n",
       "      <td>1.238766</td>\n",
       "      <td>1.938195</td>\n",
       "      <td>2.316998</td>\n",
       "      <td>2.505790</td>\n",
       "      <td>2.569545</td>\n",
       "      <td>2.545493</td>\n",
       "      <td>2.456989</td>\n",
       "      <td>2.320085</td>\n",
       "      <td>2.146831</td>\n",
       "      <td>...</td>\n",
       "      <td>1.154830</td>\n",
       "      <td>1.126141</td>\n",
       "      <td>1.095651</td>\n",
       "      <td>1.063742</td>\n",
       "      <td>1.030758</td>\n",
       "      <td>0.997002</td>\n",
       "      <td>0.962748</td>\n",
       "      <td>0.928232</td>\n",
       "      <td>0.893663</td>\n",
       "      <td>0.859225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>0.384727</td>\n",
       "      <td>0.701263</td>\n",
       "      <td>1.132412</td>\n",
       "      <td>1.309163</td>\n",
       "      <td>1.336610</td>\n",
       "      <td>1.267522</td>\n",
       "      <td>1.132891</td>\n",
       "      <td>0.952932</td>\n",
       "      <td>0.742118</td>\n",
       "      <td>0.511599</td>\n",
       "      <td>...</td>\n",
       "      <td>1.503904</td>\n",
       "      <td>1.445124</td>\n",
       "      <td>1.386526</td>\n",
       "      <td>1.328407</td>\n",
       "      <td>1.271023</td>\n",
       "      <td>1.214593</td>\n",
       "      <td>1.159298</td>\n",
       "      <td>1.105293</td>\n",
       "      <td>1.052700</td>\n",
       "      <td>1.001621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.384727</td>\n",
       "      <td>0.701263</td>\n",
       "      <td>1.132412</td>\n",
       "      <td>1.309163</td>\n",
       "      <td>1.336610</td>\n",
       "      <td>1.267522</td>\n",
       "      <td>1.132891</td>\n",
       "      <td>0.952932</td>\n",
       "      <td>0.742118</td>\n",
       "      <td>0.511599</td>\n",
       "      <td>...</td>\n",
       "      <td>1.503904</td>\n",
       "      <td>1.445124</td>\n",
       "      <td>1.386526</td>\n",
       "      <td>1.328407</td>\n",
       "      <td>1.271023</td>\n",
       "      <td>1.214593</td>\n",
       "      <td>1.159298</td>\n",
       "      <td>1.105293</td>\n",
       "      <td>1.052700</td>\n",
       "      <td>1.001621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">6</th>\n",
       "      <th>0</th>\n",
       "      <td>0.282804</td>\n",
       "      <td>0.487763</td>\n",
       "      <td>0.701410</td>\n",
       "      <td>0.916675</td>\n",
       "      <td>1.130337</td>\n",
       "      <td>1.339937</td>\n",
       "      <td>1.542742</td>\n",
       "      <td>1.735677</td>\n",
       "      <td>1.915618</td>\n",
       "      <td>2.079715</td>\n",
       "      <td>...</td>\n",
       "      <td>1.036562</td>\n",
       "      <td>0.973238</td>\n",
       "      <td>0.912732</td>\n",
       "      <td>0.855035</td>\n",
       "      <td>0.800119</td>\n",
       "      <td>0.747943</td>\n",
       "      <td>0.698453</td>\n",
       "      <td>0.651586</td>\n",
       "      <td>0.607271</td>\n",
       "      <td>0.565429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-2</th>\n",
       "      <td>0.193192</td>\n",
       "      <td>0.333205</td>\n",
       "      <td>0.479155</td>\n",
       "      <td>0.626208</td>\n",
       "      <td>0.772167</td>\n",
       "      <td>0.915352</td>\n",
       "      <td>1.053893</td>\n",
       "      <td>1.185693</td>\n",
       "      <td>1.308616</td>\n",
       "      <td>1.420716</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708106</td>\n",
       "      <td>0.664848</td>\n",
       "      <td>0.623515</td>\n",
       "      <td>0.584100</td>\n",
       "      <td>0.546585</td>\n",
       "      <td>0.510942</td>\n",
       "      <td>0.477134</td>\n",
       "      <td>0.445118</td>\n",
       "      <td>0.414845</td>\n",
       "      <td>0.386261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.193192</td>\n",
       "      <td>0.333205</td>\n",
       "      <td>0.479155</td>\n",
       "      <td>0.626208</td>\n",
       "      <td>0.772167</td>\n",
       "      <td>0.915352</td>\n",
       "      <td>1.053893</td>\n",
       "      <td>1.185693</td>\n",
       "      <td>1.308616</td>\n",
       "      <td>1.420716</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708106</td>\n",
       "      <td>0.664848</td>\n",
       "      <td>0.623515</td>\n",
       "      <td>0.584100</td>\n",
       "      <td>0.546585</td>\n",
       "      <td>0.510942</td>\n",
       "      <td>0.477134</td>\n",
       "      <td>0.445118</td>\n",
       "      <td>0.414845</td>\n",
       "      <td>0.386261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Eke              0.1        1.1        2.1        3.1        4.1        5.1   \\\n",
       "Labels l m                                                                     \n",
       "z      0  0  9.938070  10.137061  10.536345  11.091344  11.782562  12.601551   \n",
       "       2  0  7.801490   2.974707   1.175228   0.549695   0.662683   1.319691   \n",
       "       4  0  0.401896   4.811433   6.306021   6.698186   6.403164   5.604304   \n",
       "       6  0  0.677715   1.241087   1.888756   2.610470   3.406393   4.278957   \n",
       "x      0  0  4.780633   4.596718   4.500082   4.463496   4.471544   4.513611   \n",
       "       2  0  1.302658   2.931201   3.481869   3.626621   3.538992   3.305371   \n",
       "         -2  2.447955   2.696434   2.764731   2.777579   2.763365   2.734878   \n",
       "          2  2.447955   2.696434   2.764731   2.777579   2.763365   2.734878   \n",
       "       4  0  0.282713   1.238766   1.938195   2.316998   2.505790   2.569545   \n",
       "         -2  0.384727   0.701263   1.132412   1.309163   1.336610   1.267522   \n",
       "          2  0.384727   0.701263   1.132412   1.309163   1.336610   1.267522   \n",
       "       6  0  0.282804   0.487763   0.701410   0.916675   1.130337   1.339937   \n",
       "         -2  0.193192   0.333205   0.479155   0.626208   0.772167   0.915352   \n",
       "          2  0.193192   0.333205   0.479155   0.626208   0.772167   0.915352   \n",
       "y      0  0  4.780633   4.596718   4.500082   4.463496   4.471544   4.513611   \n",
       "       2  0  1.302658   2.931201   3.481869   3.626621   3.538992   3.305371   \n",
       "         -2  2.447955   2.696434   2.764731   2.777579   2.763365   2.734878   \n",
       "          2  2.447955   2.696434   2.764731   2.777579   2.763365   2.734878   \n",
       "       4  0  0.282713   1.238766   1.938195   2.316998   2.505790   2.569545   \n",
       "         -2  0.384727   0.701263   1.132412   1.309163   1.336610   1.267522   \n",
       "          2  0.384727   0.701263   1.132412   1.309163   1.336610   1.267522   \n",
       "       6  0  0.282804   0.487763   0.701410   0.916675   1.130337   1.339937   \n",
       "         -2  0.193192   0.333205   0.479155   0.626208   0.772167   0.915352   \n",
       "          2  0.193192   0.333205   0.479155   0.626208   0.772167   0.915352   \n",
       "\n",
       "Eke               6.1        7.1        8.1        9.1   ...      41.1  \\\n",
       "Labels l m                                               ...             \n",
       "z      0  0  13.542177  14.594115  15.735898  16.925624  ...  0.312529   \n",
       "       2  0   2.422303   3.915404   5.759074   7.907254  ...  0.100243   \n",
       "       4  0   4.393168   2.819004   0.914053   1.287878  ...  0.126724   \n",
       "       6  0   5.228955   6.252740   7.338681   8.461538  ...  0.051378   \n",
       "x      0  0   4.580735   4.664598   4.757434   4.852244  ...  2.658339   \n",
       "       2  0   2.976108   2.583773   2.151469   1.696826  ...  2.031927   \n",
       "         -2   2.698305   2.656499   2.610629   2.561100  ...  0.798595   \n",
       "          2   2.698305   2.656499   2.610629   2.561100  ...  0.798595   \n",
       "       4  0   2.545493   2.456989   2.320085   2.146831  ...  1.154830   \n",
       "         -2   1.132891   0.952932   0.742118   0.511599  ...  1.503904   \n",
       "          2   1.132891   0.952932   0.742118   0.511599  ...  1.503904   \n",
       "       6  0   1.542742   1.735677   1.915618   2.079715  ...  1.036562   \n",
       "         -2   1.053893   1.185693   1.308616   1.420716  ...  0.708106   \n",
       "          2   1.053893   1.185693   1.308616   1.420716  ...  0.708106   \n",
       "y      0  0   4.580735   4.664598   4.757434   4.852244  ...  2.658339   \n",
       "       2  0   2.976108   2.583773   2.151469   1.696826  ...  2.031927   \n",
       "         -2   2.698305   2.656499   2.610629   2.561100  ...  0.798595   \n",
       "          2   2.698305   2.656499   2.610629   2.561100  ...  0.798595   \n",
       "       4  0   2.545493   2.456989   2.320085   2.146831  ...  1.154830   \n",
       "         -2   1.132891   0.952932   0.742118   0.511599  ...  1.503904   \n",
       "          2   1.132891   0.952932   0.742118   0.511599  ...  1.503904   \n",
       "       6  0   1.542742   1.735677   1.915618   2.079715  ...  1.036562   \n",
       "         -2   1.053893   1.185693   1.308616   1.420716  ...  0.708106   \n",
       "          2   1.053893   1.185693   1.308616   1.420716  ...  0.708106   \n",
       "\n",
       "Eke              42.1      43.1      44.1      45.1      46.1      47.1  \\\n",
       "Labels l m                                                                \n",
       "z      0  0  0.322779  0.334491  0.347201  0.360532  0.374177  0.387879   \n",
       "       2  0  0.125819  0.155082  0.187069  0.220969  0.256096  0.291871   \n",
       "       4  0  0.103733  0.077521  0.048945  0.018729  0.012521  0.044290   \n",
       "       6  0  0.058052  0.065581  0.073653  0.082018  0.090473  0.098855   \n",
       "x      0  0  2.549036  2.442990  2.340289  2.240996  2.145147  2.052760   \n",
       "       2  0  1.940213  1.849169  1.759253  1.670856  1.584301  1.499861   \n",
       "         -2  0.767426  0.737607  0.709085  0.681808  0.655727  0.630795   \n",
       "          2  0.767426  0.737607  0.709085  0.681808  0.655727  0.630795   \n",
       "       4  0  1.126141  1.095651  1.063742  1.030758  0.997002  0.962748   \n",
       "         -2  1.445124  1.386526  1.328407  1.271023  1.214593  1.159298   \n",
       "          2  1.445124  1.386526  1.328407  1.271023  1.214593  1.159298   \n",
       "       6  0  0.973238  0.912732  0.855035  0.800119  0.747943  0.698453   \n",
       "         -2  0.664848  0.623515  0.584100  0.546585  0.510942  0.477134   \n",
       "          2  0.664848  0.623515  0.584100  0.546585  0.510942  0.477134   \n",
       "y      0  0  2.549036  2.442990  2.340289  2.240996  2.145147  2.052760   \n",
       "       2  0  1.940213  1.849169  1.759253  1.670856  1.584301  1.499861   \n",
       "         -2  0.767426  0.737607  0.709085  0.681808  0.655727  0.630795   \n",
       "          2  0.767426  0.737607  0.709085  0.681808  0.655727  0.630795   \n",
       "       4  0  1.126141  1.095651  1.063742  1.030758  0.997002  0.962748   \n",
       "         -2  1.445124  1.386526  1.328407  1.271023  1.214593  1.159298   \n",
       "          2  1.445124  1.386526  1.328407  1.271023  1.214593  1.159298   \n",
       "       6  0  0.973238  0.912732  0.855035  0.800119  0.747943  0.698453   \n",
       "         -2  0.664848  0.623515  0.584100  0.546585  0.510942  0.477134   \n",
       "          2  0.664848  0.623515  0.584100  0.546585  0.510942  0.477134   \n",
       "\n",
       "Eke              48.1      49.1      50.1  \n",
       "Labels l m                                 \n",
       "z      0  0  0.401433  0.414667  0.427443  \n",
       "       2  0  0.327805  0.363484  0.398559  \n",
       "       4  0  0.076145  0.107724  0.138722  \n",
       "       6  0  0.107034  0.114906  0.122391  \n",
       "x      0  0  1.963831  1.878342  1.796260  \n",
       "       2  0  1.417752  1.338150  1.261186  \n",
       "         -2  0.606965  0.584193  0.562438  \n",
       "          2  0.606965  0.584193  0.562438  \n",
       "       4  0  0.928232  0.893663  0.859225  \n",
       "         -2  1.105293  1.052700  1.001621  \n",
       "          2  1.105293  1.052700  1.001621  \n",
       "       6  0  0.651586  0.607271  0.565429  \n",
       "         -2  0.445118  0.414845  0.386261  \n",
       "          2  0.445118  0.414845  0.386261  \n",
       "y      0  0  1.963831  1.878342  1.796260  \n",
       "       2  0  1.417752  1.338150  1.261186  \n",
       "         -2  0.606965  0.584193  0.562438  \n",
       "          2  0.606965  0.584193  0.562438  \n",
       "       4  0  0.928232  0.893663  0.859225  \n",
       "         -2  1.105293  1.052700  1.001621  \n",
       "          2  1.105293  1.052700  1.001621  \n",
       "       6  0  0.651586  0.607271  0.565429  \n",
       "         -2  0.445118  0.414845  0.386261  \n",
       "          2  0.445118  0.414845  0.386261  \n",
       "\n",
       "[24 rows x 51 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daPlotpd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/json": {
       "Software versions": [
        {
         "module": "Python",
         "version": "3.7.3 64bit [MSC v.1915 64 bit (AMD64)]"
        },
        {
         "module": "IPython",
         "version": "7.7.0"
        },
        {
         "module": "OS",
         "version": "Windows 10 10.0.17763 SP0"
        },
        {
         "module": "epsproc",
         "version": "1.2.4"
        },
        {
         "module": "xarray",
         "version": "0.12.3"
        }
       ]
      },
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.7.3 64bit [MSC v.1915 64 bit (AMD64)]</td></tr><tr><td>IPython</td><td>7.7.0</td></tr><tr><td>OS</td><td>Windows 10 10.0.17763 SP0</td></tr><tr><td>epsproc</td><td>1.2.4</td></tr><tr><td>xarray</td><td>0.12.3</td></tr><tr><td colspan='2'>Fri Feb 07 12:13:28 2020 Eastern Standard Time</td></tr></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{|l|l|}\\hline\n",
       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
       "Python & 3.7.3 64bit [MSC v.1915 64 bit (AMD64)] \\\\ \\hline\n",
       "IPython & 7.7.0 \\\\ \\hline\n",
       "OS & Windows 10 10.0.17763 SP0 \\\\ \\hline\n",
       "epsproc & 1.2.4 \\\\ \\hline\n",
       "xarray & 0.12.3 \\\\ \\hline\n",
       "\\hline \\multicolumn{2}{|l|}{Fri Feb 07 12:13:28 2020 Eastern Standard Time} \\\\ \\hline\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "Software versions\n",
       "Python 3.7.3 64bit [MSC v.1915 64 bit (AMD64)]\n",
       "IPython 7.7.0\n",
       "OS Windows 10 10.0.17763 SP0\n",
       "epsproc 1.2.4\n",
       "xarray 0.12.3\n",
       "Fri Feb 07 12:13:28 2020 Eastern Standard Time"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%version_information epsproc, xarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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