{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/chn/repo/SiC-2nd-paper'"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.optimize import curve_fit\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.graph_objects as go\n",
    "plt.rcParams['text.usetex'] = True\n",
    "plt.rcParams['font.family'] = 'Arial'\n",
    "# get current working directory\n",
    "import os\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>91</th>\n",
       "      <th>92</th>\n",
       "      <th>93</th>\n",
       "      <th>94</th>\n",
       "      <th>95</th>\n",
       "      <th>96</th>\n",
       "      <th>97</th>\n",
       "      <th>98</th>\n",
       "      <th>99</th>\n",
       "      <th>100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.315892</td>\n",
       "      <td>3.285844</td>\n",
       "      <td>3.255710</td>\n",
       "      <td>3.225489</td>\n",
       "      <td>3.195182</td>\n",
       "      <td>3.164790</td>\n",
       "      <td>3.134312</td>\n",
       "      <td>3.103751</td>\n",
       "      <td>3.073106</td>\n",
       "      <td>3.042378</td>\n",
       "      <td>...</td>\n",
       "      <td>0.313400</td>\n",
       "      <td>0.278614</td>\n",
       "      <td>0.243821</td>\n",
       "      <td>0.209024</td>\n",
       "      <td>0.174224</td>\n",
       "      <td>0.139427</td>\n",
       "      <td>0.104640</td>\n",
       "      <td>0.069889</td>\n",
       "      <td>0.035285</td>\n",
       "      <td>-0.000715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.315892</td>\n",
       "      <td>3.285844</td>\n",
       "      <td>3.255710</td>\n",
       "      <td>3.225489</td>\n",
       "      <td>3.195182</td>\n",
       "      <td>3.164790</td>\n",
       "      <td>3.134312</td>\n",
       "      <td>3.103751</td>\n",
       "      <td>3.073106</td>\n",
       "      <td>3.042378</td>\n",
       "      <td>...</td>\n",
       "      <td>0.313400</td>\n",
       "      <td>0.278614</td>\n",
       "      <td>0.243821</td>\n",
       "      <td>0.209024</td>\n",
       "      <td>0.174224</td>\n",
       "      <td>0.139427</td>\n",
       "      <td>0.104640</td>\n",
       "      <td>0.069889</td>\n",
       "      <td>0.035285</td>\n",
       "      <td>0.005641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.315892</td>\n",
       "      <td>3.345851</td>\n",
       "      <td>3.375723</td>\n",
       "      <td>3.405505</td>\n",
       "      <td>3.435198</td>\n",
       "      <td>3.464802</td>\n",
       "      <td>3.494314</td>\n",
       "      <td>3.523736</td>\n",
       "      <td>3.553066</td>\n",
       "      <td>3.582305</td>\n",
       "      <td>...</td>\n",
       "      <td>0.575333</td>\n",
       "      <td>0.511424</td>\n",
       "      <td>0.447509</td>\n",
       "      <td>0.383589</td>\n",
       "      <td>0.319664</td>\n",
       "      <td>0.255735</td>\n",
       "      <td>0.191803</td>\n",
       "      <td>0.127869</td>\n",
       "      <td>0.063932</td>\n",
       "      <td>0.005641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.315892</td>\n",
       "      <td>3.345851</td>\n",
       "      <td>3.375723</td>\n",
       "      <td>3.405505</td>\n",
       "      <td>3.435198</td>\n",
       "      <td>3.464802</td>\n",
       "      <td>3.494314</td>\n",
       "      <td>3.523736</td>\n",
       "      <td>3.553066</td>\n",
       "      <td>3.582305</td>\n",
       "      <td>...</td>\n",
       "      <td>5.611981</td>\n",
       "      <td>5.629415</td>\n",
       "      <td>5.646076</td>\n",
       "      <td>5.661766</td>\n",
       "      <td>5.676225</td>\n",
       "      <td>5.689106</td>\n",
       "      <td>5.699973</td>\n",
       "      <td>5.708309</td>\n",
       "      <td>5.713590</td>\n",
       "      <td>5.715403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.268801</td>\n",
       "      <td>6.208561</td>\n",
       "      <td>6.148247</td>\n",
       "      <td>6.087861</td>\n",
       "      <td>6.027403</td>\n",
       "      <td>5.966874</td>\n",
       "      <td>5.906275</td>\n",
       "      <td>5.845606</td>\n",
       "      <td>5.784867</td>\n",
       "      <td>5.724061</td>\n",
       "      <td>...</td>\n",
       "      <td>5.611981</td>\n",
       "      <td>5.629415</td>\n",
       "      <td>5.646076</td>\n",
       "      <td>5.661766</td>\n",
       "      <td>5.676225</td>\n",
       "      <td>5.689106</td>\n",
       "      <td>5.699973</td>\n",
       "      <td>5.708309</td>\n",
       "      <td>5.713590</td>\n",
       "      <td>5.715403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.268801</td>\n",
       "      <td>6.328967</td>\n",
       "      <td>6.389058</td>\n",
       "      <td>6.449074</td>\n",
       "      <td>6.509013</td>\n",
       "      <td>6.568876</td>\n",
       "      <td>6.628661</td>\n",
       "      <td>6.688368</td>\n",
       "      <td>6.747996</td>\n",
       "      <td>6.807545</td>\n",
       "      <td>...</td>\n",
       "      <td>6.029727</td>\n",
       "      <td>6.014150</td>\n",
       "      <td>5.999128</td>\n",
       "      <td>5.984858</td>\n",
       "      <td>5.971602</td>\n",
       "      <td>5.959704</td>\n",
       "      <td>5.949603</td>\n",
       "      <td>5.941813</td>\n",
       "      <td>5.936860</td>\n",
       "      <td>5.935156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.267957</td>\n",
       "      <td>7.258695</td>\n",
       "      <td>7.249335</td>\n",
       "      <td>7.239877</td>\n",
       "      <td>7.230321</td>\n",
       "      <td>7.220666</td>\n",
       "      <td>7.210913</td>\n",
       "      <td>7.201061</td>\n",
       "      <td>7.191110</td>\n",
       "      <td>7.181061</td>\n",
       "      <td>...</td>\n",
       "      <td>6.029727</td>\n",
       "      <td>6.014150</td>\n",
       "      <td>5.999128</td>\n",
       "      <td>5.984858</td>\n",
       "      <td>5.971602</td>\n",
       "      <td>5.959704</td>\n",
       "      <td>5.949603</td>\n",
       "      <td>5.941813</td>\n",
       "      <td>5.936860</td>\n",
       "      <td>5.935156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.267957</td>\n",
       "      <td>7.258695</td>\n",
       "      <td>7.249335</td>\n",
       "      <td>7.239877</td>\n",
       "      <td>7.230321</td>\n",
       "      <td>7.220666</td>\n",
       "      <td>7.210913</td>\n",
       "      <td>7.201061</td>\n",
       "      <td>7.191110</td>\n",
       "      <td>7.181061</td>\n",
       "      <td>...</td>\n",
       "      <td>7.716936</td>\n",
       "      <td>7.717691</td>\n",
       "      <td>7.718356</td>\n",
       "      <td>7.718933</td>\n",
       "      <td>7.719421</td>\n",
       "      <td>7.719820</td>\n",
       "      <td>7.720130</td>\n",
       "      <td>7.720352</td>\n",
       "      <td>7.720485</td>\n",
       "      <td>7.720530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.267957</td>\n",
       "      <td>7.277121</td>\n",
       "      <td>7.286187</td>\n",
       "      <td>7.295156</td>\n",
       "      <td>7.304027</td>\n",
       "      <td>7.312801</td>\n",
       "      <td>7.321477</td>\n",
       "      <td>7.330057</td>\n",
       "      <td>7.338540</td>\n",
       "      <td>7.346925</td>\n",
       "      <td>...</td>\n",
       "      <td>7.716936</td>\n",
       "      <td>7.717691</td>\n",
       "      <td>7.718356</td>\n",
       "      <td>7.718933</td>\n",
       "      <td>7.719421</td>\n",
       "      <td>7.719820</td>\n",
       "      <td>7.720130</td>\n",
       "      <td>7.720352</td>\n",
       "      <td>7.720485</td>\n",
       "      <td>7.720530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.267957</td>\n",
       "      <td>7.277121</td>\n",
       "      <td>7.286187</td>\n",
       "      <td>7.295156</td>\n",
       "      <td>7.304027</td>\n",
       "      <td>7.312801</td>\n",
       "      <td>7.321477</td>\n",
       "      <td>7.330057</td>\n",
       "      <td>7.338540</td>\n",
       "      <td>7.346925</td>\n",
       "      <td>...</td>\n",
       "      <td>11.346087</td>\n",
       "      <td>11.395105</td>\n",
       "      <td>11.443537</td>\n",
       "      <td>11.491181</td>\n",
       "      <td>11.537699</td>\n",
       "      <td>11.582490</td>\n",
       "      <td>11.624421</td>\n",
       "      <td>11.661218</td>\n",
       "      <td>11.688365</td>\n",
       "      <td>11.698833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>15.975578</td>\n",
       "      <td>15.943193</td>\n",
       "      <td>15.910585</td>\n",
       "      <td>15.877757</td>\n",
       "      <td>15.844710</td>\n",
       "      <td>15.811444</td>\n",
       "      <td>15.777963</td>\n",
       "      <td>15.744266</td>\n",
       "      <td>15.710356</td>\n",
       "      <td>15.676234</td>\n",
       "      <td>...</td>\n",
       "      <td>12.266374</td>\n",
       "      <td>12.219682</td>\n",
       "      <td>12.173301</td>\n",
       "      <td>12.127435</td>\n",
       "      <td>12.082422</td>\n",
       "      <td>12.038862</td>\n",
       "      <td>11.997889</td>\n",
       "      <td>11.961776</td>\n",
       "      <td>11.935039</td>\n",
       "      <td>11.924707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>15.975578</td>\n",
       "      <td>16.007740</td>\n",
       "      <td>16.039676</td>\n",
       "      <td>16.071385</td>\n",
       "      <td>16.102866</td>\n",
       "      <td>16.134117</td>\n",
       "      <td>16.165136</td>\n",
       "      <td>16.195921</td>\n",
       "      <td>16.226472</td>\n",
       "      <td>16.256786</td>\n",
       "      <td>...</td>\n",
       "      <td>17.740794</td>\n",
       "      <td>17.744213</td>\n",
       "      <td>17.747230</td>\n",
       "      <td>17.749847</td>\n",
       "      <td>17.752062</td>\n",
       "      <td>17.753875</td>\n",
       "      <td>17.755285</td>\n",
       "      <td>17.756293</td>\n",
       "      <td>17.756898</td>\n",
       "      <td>17.757099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>22.511442</td>\n",
       "      <td>22.509556</td>\n",
       "      <td>22.507681</td>\n",
       "      <td>22.505818</td>\n",
       "      <td>22.503968</td>\n",
       "      <td>22.502131</td>\n",
       "      <td>22.500307</td>\n",
       "      <td>22.498495</td>\n",
       "      <td>22.496697</td>\n",
       "      <td>22.494913</td>\n",
       "      <td>...</td>\n",
       "      <td>22.408136</td>\n",
       "      <td>22.407940</td>\n",
       "      <td>22.407768</td>\n",
       "      <td>22.407618</td>\n",
       "      <td>22.407491</td>\n",
       "      <td>22.407388</td>\n",
       "      <td>22.407307</td>\n",
       "      <td>22.407250</td>\n",
       "      <td>22.407215</td>\n",
       "      <td>22.407204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>22.511442</td>\n",
       "      <td>22.509556</td>\n",
       "      <td>22.507681</td>\n",
       "      <td>22.505818</td>\n",
       "      <td>22.503968</td>\n",
       "      <td>22.502131</td>\n",
       "      <td>22.500307</td>\n",
       "      <td>22.498495</td>\n",
       "      <td>22.496697</td>\n",
       "      <td>22.494913</td>\n",
       "      <td>...</td>\n",
       "      <td>22.408136</td>\n",
       "      <td>22.407940</td>\n",
       "      <td>22.407768</td>\n",
       "      <td>22.407618</td>\n",
       "      <td>22.407491</td>\n",
       "      <td>22.407388</td>\n",
       "      <td>22.407307</td>\n",
       "      <td>22.407250</td>\n",
       "      <td>22.407215</td>\n",
       "      <td>22.407204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22.511442</td>\n",
       "      <td>22.513341</td>\n",
       "      <td>22.515252</td>\n",
       "      <td>22.517175</td>\n",
       "      <td>22.519108</td>\n",
       "      <td>22.521053</td>\n",
       "      <td>22.523009</td>\n",
       "      <td>22.524976</td>\n",
       "      <td>22.526954</td>\n",
       "      <td>22.528942</td>\n",
       "      <td>...</td>\n",
       "      <td>22.684286</td>\n",
       "      <td>22.684956</td>\n",
       "      <td>22.685550</td>\n",
       "      <td>22.686068</td>\n",
       "      <td>22.686509</td>\n",
       "      <td>22.686871</td>\n",
       "      <td>22.687154</td>\n",
       "      <td>22.687356</td>\n",
       "      <td>22.687478</td>\n",
       "      <td>22.687518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>22.511442</td>\n",
       "      <td>22.513341</td>\n",
       "      <td>22.515252</td>\n",
       "      <td>22.517175</td>\n",
       "      <td>22.519108</td>\n",
       "      <td>22.521053</td>\n",
       "      <td>22.523009</td>\n",
       "      <td>22.524976</td>\n",
       "      <td>22.526954</td>\n",
       "      <td>22.528942</td>\n",
       "      <td>...</td>\n",
       "      <td>22.684286</td>\n",
       "      <td>22.684956</td>\n",
       "      <td>22.685550</td>\n",
       "      <td>22.686068</td>\n",
       "      <td>22.686509</td>\n",
       "      <td>22.686871</td>\n",
       "      <td>22.687154</td>\n",
       "      <td>22.687356</td>\n",
       "      <td>22.687478</td>\n",
       "      <td>22.687518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23.155348</td>\n",
       "      <td>23.152765</td>\n",
       "      <td>23.150167</td>\n",
       "      <td>23.147555</td>\n",
       "      <td>23.144929</td>\n",
       "      <td>23.142290</td>\n",
       "      <td>23.139637</td>\n",
       "      <td>23.136972</td>\n",
       "      <td>23.134295</td>\n",
       "      <td>23.131605</td>\n",
       "      <td>...</td>\n",
       "      <td>22.933610</td>\n",
       "      <td>22.932825</td>\n",
       "      <td>22.932128</td>\n",
       "      <td>22.931521</td>\n",
       "      <td>22.931005</td>\n",
       "      <td>22.930582</td>\n",
       "      <td>22.930251</td>\n",
       "      <td>22.930015</td>\n",
       "      <td>22.929873</td>\n",
       "      <td>22.929825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23.155348</td>\n",
       "      <td>23.152765</td>\n",
       "      <td>23.150167</td>\n",
       "      <td>23.147555</td>\n",
       "      <td>23.144929</td>\n",
       "      <td>23.142290</td>\n",
       "      <td>23.139637</td>\n",
       "      <td>23.136972</td>\n",
       "      <td>23.134295</td>\n",
       "      <td>23.131605</td>\n",
       "      <td>...</td>\n",
       "      <td>22.933610</td>\n",
       "      <td>22.932825</td>\n",
       "      <td>22.932128</td>\n",
       "      <td>22.931521</td>\n",
       "      <td>22.931005</td>\n",
       "      <td>22.930582</td>\n",
       "      <td>22.930251</td>\n",
       "      <td>22.930015</td>\n",
       "      <td>22.929873</td>\n",
       "      <td>22.929825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23.155348</td>\n",
       "      <td>23.157917</td>\n",
       "      <td>23.160470</td>\n",
       "      <td>23.163007</td>\n",
       "      <td>23.165529</td>\n",
       "      <td>23.168034</td>\n",
       "      <td>23.170522</td>\n",
       "      <td>23.172994</td>\n",
       "      <td>23.175448</td>\n",
       "      <td>23.177885</td>\n",
       "      <td>...</td>\n",
       "      <td>23.295883</td>\n",
       "      <td>23.296144</td>\n",
       "      <td>23.296376</td>\n",
       "      <td>23.296576</td>\n",
       "      <td>23.296745</td>\n",
       "      <td>23.296884</td>\n",
       "      <td>23.296992</td>\n",
       "      <td>23.297069</td>\n",
       "      <td>23.297115</td>\n",
       "      <td>23.297131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23.155348</td>\n",
       "      <td>23.157917</td>\n",
       "      <td>23.160470</td>\n",
       "      <td>23.163007</td>\n",
       "      <td>23.165529</td>\n",
       "      <td>23.168034</td>\n",
       "      <td>23.170522</td>\n",
       "      <td>23.172994</td>\n",
       "      <td>23.175448</td>\n",
       "      <td>23.177885</td>\n",
       "      <td>...</td>\n",
       "      <td>23.295883</td>\n",
       "      <td>23.296144</td>\n",
       "      <td>23.296376</td>\n",
       "      <td>23.296576</td>\n",
       "      <td>23.296745</td>\n",
       "      <td>23.296884</td>\n",
       "      <td>23.296992</td>\n",
       "      <td>23.297069</td>\n",
       "      <td>23.297115</td>\n",
       "      <td>23.297131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>25.265869</td>\n",
       "      <td>25.251738</td>\n",
       "      <td>25.237647</td>\n",
       "      <td>25.223598</td>\n",
       "      <td>25.209593</td>\n",
       "      <td>25.195634</td>\n",
       "      <td>25.181723</td>\n",
       "      <td>25.167861</td>\n",
       "      <td>25.154049</td>\n",
       "      <td>25.140290</td>\n",
       "      <td>...</td>\n",
       "      <td>24.395040</td>\n",
       "      <td>24.393147</td>\n",
       "      <td>24.391475</td>\n",
       "      <td>24.390025</td>\n",
       "      <td>24.388797</td>\n",
       "      <td>24.387791</td>\n",
       "      <td>24.387009</td>\n",
       "      <td>24.386450</td>\n",
       "      <td>24.386115</td>\n",
       "      <td>24.386003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>25.265869</td>\n",
       "      <td>25.280040</td>\n",
       "      <td>25.294247</td>\n",
       "      <td>25.308491</td>\n",
       "      <td>25.322768</td>\n",
       "      <td>25.337078</td>\n",
       "      <td>25.351420</td>\n",
       "      <td>25.365790</td>\n",
       "      <td>25.380189</td>\n",
       "      <td>25.394614</td>\n",
       "      <td>...</td>\n",
       "      <td>26.523539</td>\n",
       "      <td>26.532317</td>\n",
       "      <td>26.540438</td>\n",
       "      <td>26.547805</td>\n",
       "      <td>26.554314</td>\n",
       "      <td>26.559853</td>\n",
       "      <td>26.564308</td>\n",
       "      <td>26.567578</td>\n",
       "      <td>26.569578</td>\n",
       "      <td>26.570251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>27.691716</td>\n",
       "      <td>27.685148</td>\n",
       "      <td>27.678514</td>\n",
       "      <td>27.671812</td>\n",
       "      <td>27.665044</td>\n",
       "      <td>27.658207</td>\n",
       "      <td>27.651304</td>\n",
       "      <td>27.644334</td>\n",
       "      <td>27.637297</td>\n",
       "      <td>27.630193</td>\n",
       "      <td>...</td>\n",
       "      <td>26.866753</td>\n",
       "      <td>26.858804</td>\n",
       "      <td>26.851415</td>\n",
       "      <td>26.844681</td>\n",
       "      <td>26.838709</td>\n",
       "      <td>26.833610</td>\n",
       "      <td>26.829496</td>\n",
       "      <td>26.826470</td>\n",
       "      <td>26.824617</td>\n",
       "      <td>26.823993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>27.691716</td>\n",
       "      <td>27.698215</td>\n",
       "      <td>27.704648</td>\n",
       "      <td>27.711013</td>\n",
       "      <td>27.717311</td>\n",
       "      <td>27.723541</td>\n",
       "      <td>27.729704</td>\n",
       "      <td>27.735800</td>\n",
       "      <td>27.741828</td>\n",
       "      <td>27.747789</td>\n",
       "      <td>...</td>\n",
       "      <td>28.011504</td>\n",
       "      <td>28.012041</td>\n",
       "      <td>28.012515</td>\n",
       "      <td>28.012926</td>\n",
       "      <td>28.013274</td>\n",
       "      <td>28.013558</td>\n",
       "      <td>28.013780</td>\n",
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       "      <td>28.014033</td>\n",
       "      <td>28.014064</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 101 columns</p>\n",
       "</div>"
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       "          0          1          2          3          4          5    \\\n",
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       "1    3.315892   3.285844   3.255710   3.225489   3.195182   3.164790   \n",
       "2    3.315892   3.345851   3.375723   3.405505   3.435198   3.464802   \n",
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       "4    6.268801   6.208561   6.148247   6.087861   6.027403   5.966874   \n",
       "5    6.268801   6.328967   6.389058   6.449074   6.509013   6.568876   \n",
       "6    7.267957   7.258695   7.249335   7.239877   7.230321   7.220666   \n",
       "7    7.267957   7.258695   7.249335   7.239877   7.230321   7.220666   \n",
       "8    7.267957   7.277121   7.286187   7.295156   7.304027   7.312801   \n",
       "9    7.267957   7.277121   7.286187   7.295156   7.304027   7.312801   \n",
       "10  15.975578  15.943193  15.910585  15.877757  15.844710  15.811444   \n",
       "11  15.975578  16.007740  16.039676  16.071385  16.102866  16.134117   \n",
       "12  22.511442  22.509556  22.507681  22.505818  22.503968  22.502131   \n",
       "13  22.511442  22.509556  22.507681  22.505818  22.503968  22.502131   \n",
       "14  22.511442  22.513341  22.515252  22.517175  22.519108  22.521053   \n",
       "15  22.511442  22.513341  22.515252  22.517175  22.519108  22.521053   \n",
       "16  23.155348  23.152765  23.150167  23.147555  23.144929  23.142290   \n",
       "17  23.155348  23.152765  23.150167  23.147555  23.144929  23.142290   \n",
       "18  23.155348  23.157917  23.160470  23.163007  23.165529  23.168034   \n",
       "19  23.155348  23.157917  23.160470  23.163007  23.165529  23.168034   \n",
       "20  25.265869  25.251738  25.237647  25.223598  25.209593  25.195634   \n",
       "21  25.265869  25.280040  25.294247  25.308491  25.322768  25.337078   \n",
       "22  27.691716  27.685148  27.678514  27.671812  27.665044  27.658207   \n",
       "23  27.691716  27.698215  27.704648  27.711013  27.717311  27.723541   \n",
       "\n",
       "          6          7          8          9    ...        91         92   \\\n",
       "0    3.134312   3.103751   3.073106   3.042378  ...   0.313400   0.278614   \n",
       "1    3.134312   3.103751   3.073106   3.042378  ...   0.313400   0.278614   \n",
       "2    3.494314   3.523736   3.553066   3.582305  ...   0.575333   0.511424   \n",
       "3    3.494314   3.523736   3.553066   3.582305  ...   5.611981   5.629415   \n",
       "4    5.906275   5.845606   5.784867   5.724061  ...   5.611981   5.629415   \n",
       "5    6.628661   6.688368   6.747996   6.807545  ...   6.029727   6.014150   \n",
       "6    7.210913   7.201061   7.191110   7.181061  ...   6.029727   6.014150   \n",
       "7    7.210913   7.201061   7.191110   7.181061  ...   7.716936   7.717691   \n",
       "8    7.321477   7.330057   7.338540   7.346925  ...   7.716936   7.717691   \n",
       "9    7.321477   7.330057   7.338540   7.346925  ...  11.346087  11.395105   \n",
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       "17  23.139637  23.136972  23.134295  23.131605  ...  22.933610  22.932825   \n",
       "18  23.170522  23.172994  23.175448  23.177885  ...  23.295883  23.296144   \n",
       "19  23.170522  23.172994  23.175448  23.177885  ...  23.295883  23.296144   \n",
       "20  25.181723  25.167861  25.154049  25.140290  ...  24.395040  24.393147   \n",
       "21  25.351420  25.365790  25.380189  25.394614  ...  26.523539  26.532317   \n",
       "22  27.651304  27.644334  27.637297  27.630193  ...  26.866753  26.858804   \n",
       "23  27.729704  27.735800  27.741828  27.747789  ...  28.011504  28.012041   \n",
       "\n",
       "          93         94         95         96         97         98   \\\n",
       "0    0.243821   0.209024   0.174224   0.139427   0.104640   0.069889   \n",
       "1    0.243821   0.209024   0.174224   0.139427   0.104640   0.069889   \n",
       "2    0.447509   0.383589   0.319664   0.255735   0.191803   0.127869   \n",
       "3    5.646076   5.661766   5.676225   5.689106   5.699973   5.708309   \n",
       "4    5.646076   5.661766   5.676225   5.689106   5.699973   5.708309   \n",
       "5    5.999128   5.984858   5.971602   5.959704   5.949603   5.941813   \n",
       "6    5.999128   5.984858   5.971602   5.959704   5.949603   5.941813   \n",
       "7    7.718356   7.718933   7.719421   7.719820   7.720130   7.720352   \n",
       "8    7.718356   7.718933   7.719421   7.719820   7.720130   7.720352   \n",
       "9   11.443537  11.491181  11.537699  11.582490  11.624421  11.661218   \n",
       "10  12.173301  12.127435  12.082422  12.038862  11.997889  11.961776   \n",
       "11  17.747230  17.749847  17.752062  17.753875  17.755285  17.756293   \n",
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       "13  22.407768  22.407618  22.407491  22.407388  22.407307  22.407250   \n",
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       "15  22.685550  22.686068  22.686509  22.686871  22.687154  22.687356   \n",
       "16  22.932128  22.931521  22.931005  22.930582  22.930251  22.930015   \n",
       "17  22.932128  22.931521  22.931005  22.930582  22.930251  22.930015   \n",
       "18  23.296376  23.296576  23.296745  23.296884  23.296992  23.297069   \n",
       "19  23.296376  23.296576  23.296745  23.296884  23.296992  23.297069   \n",
       "20  24.391475  24.390025  24.388797  24.387791  24.387009  24.386450   \n",
       "21  26.540438  26.547805  26.554314  26.559853  26.564308  26.567578   \n",
       "22  26.851415  26.844681  26.838709  26.833610  26.829496  26.826470   \n",
       "23  28.012515  28.012926  28.013274  28.013558  28.013780  28.013938   \n",
       "\n",
       "          99         100  \n",
       "0    0.035285  -0.000715  \n",
       "1    0.035285   0.005641  \n",
       "2    0.063932   0.005641  \n",
       "3    5.713590   5.715403  \n",
       "4    5.713590   5.715403  \n",
       "5    5.936860   5.935156  \n",
       "6    5.936860   5.935156  \n",
       "7    7.720485   7.720530  \n",
       "8    7.720485   7.720530  \n",
       "9   11.688365  11.698833  \n",
       "10  11.935039  11.924707  \n",
       "11  17.756898  17.757099  \n",
       "12  22.407215  22.407204  \n",
       "13  22.407215  22.407204  \n",
       "14  22.687478  22.687518  \n",
       "15  22.687478  22.687518  \n",
       "16  22.929873  22.929825  \n",
       "17  22.929873  22.929825  \n",
       "18  23.297115  23.297131  \n",
       "19  23.297115  23.297131  \n",
       "20  24.386115  24.386003  \n",
       "21  26.569578  26.570251  \n",
       "22  26.824617  26.823993  \n",
       "23  28.014033  28.014064  \n",
       "\n",
       "[24 rows x 101 columns]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('../SiC-2nd/5/5.1/5.1.2/data.ods', engine='odf', header=None, sheet_name='A-Gamma')\n",
    "data1 = df.to_numpy()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
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          },
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           },
           "bgcolor": "#E5ECF6",
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          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
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           "zerolinewidth": 2
          },
          "yaxis": {
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     },
     "metadata": {},
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   ],
   "source": [
    "fig = go.Figure()\n",
    "for m in range(0, 24):\n",
    "  fig.add_trace(go.Scatter(x=[*range(0, 101)], y=data1[m,:], mode='lines', name=f'{m}'))\n",
    "fig.update_layout(width=1920, height=1080, yaxis_range=[22, 30])\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
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       "      <td>1.143432</td>\n",
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       "      <td>0.696366</td>\n",
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       "      <td>1.149924</td>\n",
       "      <td>1.377260</td>\n",
       "      <td>1.604590</td>\n",
       "      <td>1.831773</td>\n",
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       "      <td>...</td>\n",
       "      <td>9.492787</td>\n",
       "      <td>9.497283</td>\n",
       "      <td>9.501150</td>\n",
       "      <td>9.504426</td>\n",
       "      <td>9.507142</td>\n",
       "      <td>9.509326</td>\n",
       "      <td>9.511000</td>\n",
       "      <td>9.512183</td>\n",
       "      <td>9.512888</td>\n",
       "      <td>9.513122</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>5.722515</td>\n",
       "      <td>5.731380</td>\n",
       "      <td>5.743745</td>\n",
       "      <td>5.759567</td>\n",
       "      <td>5.778789</td>\n",
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       "      <td>5.827153</td>\n",
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       "      <td>9.563560</td>\n",
       "      <td>9.563542</td>\n",
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       "      <td>9.563518</td>\n",
       "      <td>9.563511</td>\n",
       "      <td>9.563506</td>\n",
       "      <td>9.563505</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>5.719831</td>\n",
       "      <td>5.733083</td>\n",
       "      <td>5.755069</td>\n",
       "      <td>5.785637</td>\n",
       "      <td>5.824582</td>\n",
       "      <td>5.871646</td>\n",
       "      <td>5.926525</td>\n",
       "      <td>5.988875</td>\n",
       "      <td>6.058316</td>\n",
       "      <td>...</td>\n",
       "      <td>9.674755</td>\n",
       "      <td>9.684732</td>\n",
       "      <td>9.693573</td>\n",
       "      <td>9.701264</td>\n",
       "      <td>9.707793</td>\n",
       "      <td>9.713149</td>\n",
       "      <td>9.717325</td>\n",
       "      <td>9.720312</td>\n",
       "      <td>9.722107</td>\n",
       "      <td>9.722705</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
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       "      <td>5.951218</td>\n",
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       "      <td>5.979543</td>\n",
       "      <td>5.998846</td>\n",
       "      <td>6.021484</td>\n",
       "      <td>6.047369</td>\n",
       "      <td>6.076407</td>\n",
       "      <td>...</td>\n",
       "      <td>10.697320</td>\n",
       "      <td>10.702071</td>\n",
       "      <td>10.706204</td>\n",
       "      <td>10.709740</td>\n",
       "      <td>10.712698</td>\n",
       "      <td>10.715095</td>\n",
       "      <td>10.716944</td>\n",
       "      <td>10.718257</td>\n",
       "      <td>10.719042</td>\n",
       "      <td>10.719303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5.935156</td>\n",
       "      <td>5.939329</td>\n",
       "      <td>5.951821</td>\n",
       "      <td>5.972553</td>\n",
       "      <td>6.001394</td>\n",
       "      <td>6.038164</td>\n",
       "      <td>6.082638</td>\n",
       "      <td>6.134549</td>\n",
       "      <td>6.193591</td>\n",
       "      <td>6.259425</td>\n",
       "      <td>...</td>\n",
       "      <td>11.435244</td>\n",
       "      <td>11.499973</td>\n",
       "      <td>11.563523</td>\n",
       "      <td>11.625395</td>\n",
       "      <td>11.684859</td>\n",
       "      <td>11.740774</td>\n",
       "      <td>11.791280</td>\n",
       "      <td>11.833316</td>\n",
       "      <td>11.862240</td>\n",
       "      <td>11.872745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.720530</td>\n",
       "      <td>7.721901</td>\n",
       "      <td>7.726012</td>\n",
       "      <td>7.732847</td>\n",
       "      <td>7.742384</td>\n",
       "      <td>7.754591</td>\n",
       "      <td>7.769427</td>\n",
       "      <td>7.786844</td>\n",
       "      <td>7.806783</td>\n",
       "      <td>7.829181</td>\n",
       "      <td>...</td>\n",
       "      <td>12.657027</td>\n",
       "      <td>12.603954</td>\n",
       "      <td>12.550804</td>\n",
       "      <td>12.498030</td>\n",
       "      <td>12.446328</td>\n",
       "      <td>12.396806</td>\n",
       "      <td>12.351298</td>\n",
       "      <td>12.312848</td>\n",
       "      <td>12.286080</td>\n",
       "      <td>12.276295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.720756</td>\n",
       "      <td>7.724200</td>\n",
       "      <td>7.734517</td>\n",
       "      <td>7.751669</td>\n",
       "      <td>7.775587</td>\n",
       "      <td>7.806180</td>\n",
       "      <td>7.843332</td>\n",
       "      <td>7.886903</td>\n",
       "      <td>7.936734</td>\n",
       "      <td>7.992647</td>\n",
       "      <td>...</td>\n",
       "      <td>15.489470</td>\n",
       "      <td>15.558621</td>\n",
       "      <td>15.624846</td>\n",
       "      <td>15.687989</td>\n",
       "      <td>15.747810</td>\n",
       "      <td>15.803908</td>\n",
       "      <td>15.855510</td>\n",
       "      <td>15.900889</td>\n",
       "      <td>15.935664</td>\n",
       "      <td>15.949930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11.698833</td>\n",
       "      <td>11.698634</td>\n",
       "      <td>11.698040</td>\n",
       "      <td>11.697065</td>\n",
       "      <td>11.695733</td>\n",
       "      <td>11.694076</td>\n",
       "      <td>11.692135</td>\n",
       "      <td>11.689963</td>\n",
       "      <td>11.687620</td>\n",
       "      <td>11.685178</td>\n",
       "      <td>...</td>\n",
       "      <td>16.299108</td>\n",
       "      <td>16.284538</td>\n",
       "      <td>16.266435</td>\n",
       "      <td>16.244965</td>\n",
       "      <td>16.220380</td>\n",
       "      <td>16.193092</td>\n",
       "      <td>16.163885</td>\n",
       "      <td>16.134496</td>\n",
       "      <td>16.109312</td>\n",
       "      <td>16.098243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.924707</td>\n",
       "      <td>11.924368</td>\n",
       "      <td>11.923356</td>\n",
       "      <td>11.921684</td>\n",
       "      <td>11.919375</td>\n",
       "      <td>11.916459</td>\n",
       "      <td>11.912978</td>\n",
       "      <td>11.908982</td>\n",
       "      <td>11.904530</td>\n",
       "      <td>11.899691</td>\n",
       "      <td>...</td>\n",
       "      <td>17.752257</td>\n",
       "      <td>17.793369</td>\n",
       "      <td>17.829886</td>\n",
       "      <td>17.861721</td>\n",
       "      <td>17.888796</td>\n",
       "      <td>17.911044</td>\n",
       "      <td>17.928407</td>\n",
       "      <td>17.940843</td>\n",
       "      <td>17.948317</td>\n",
       "      <td>17.950810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>17.750886</td>\n",
       "      <td>17.749566</td>\n",
       "      <td>17.745611</td>\n",
       "      <td>17.739034</td>\n",
       "      <td>17.729853</td>\n",
       "      <td>17.718098</td>\n",
       "      <td>17.703804</td>\n",
       "      <td>17.687014</td>\n",
       "      <td>17.667778</td>\n",
       "      <td>17.646154</td>\n",
       "      <td>...</td>\n",
       "      <td>18.125787</td>\n",
       "      <td>18.168004</td>\n",
       "      <td>18.205593</td>\n",
       "      <td>18.238432</td>\n",
       "      <td>18.266412</td>\n",
       "      <td>18.289438</td>\n",
       "      <td>18.307432</td>\n",
       "      <td>18.320330</td>\n",
       "      <td>18.328088</td>\n",
       "      <td>18.330677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>22.407204</td>\n",
       "      <td>22.407055</td>\n",
       "      <td>22.406611</td>\n",
       "      <td>22.405870</td>\n",
       "      <td>22.404835</td>\n",
       "      <td>22.403506</td>\n",
       "      <td>22.401884</td>\n",
       "      <td>22.399973</td>\n",
       "      <td>22.397773</td>\n",
       "      <td>22.395288</td>\n",
       "      <td>...</td>\n",
       "      <td>22.051304</td>\n",
       "      <td>22.059651</td>\n",
       "      <td>22.067621</td>\n",
       "      <td>22.075029</td>\n",
       "      <td>22.081693</td>\n",
       "      <td>22.087443</td>\n",
       "      <td>22.092118</td>\n",
       "      <td>22.095576</td>\n",
       "      <td>22.097701</td>\n",
       "      <td>22.098419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>22.407890</td>\n",
       "      <td>22.408257</td>\n",
       "      <td>22.409353</td>\n",
       "      <td>22.411163</td>\n",
       "      <td>22.413663</td>\n",
       "      <td>22.416820</td>\n",
       "      <td>22.420592</td>\n",
       "      <td>22.424928</td>\n",
       "      <td>22.429769</td>\n",
       "      <td>22.435052</td>\n",
       "      <td>...</td>\n",
       "      <td>22.170363</td>\n",
       "      <td>22.168263</td>\n",
       "      <td>22.166409</td>\n",
       "      <td>22.164787</td>\n",
       "      <td>22.163390</td>\n",
       "      <td>22.162214</td>\n",
       "      <td>22.161268</td>\n",
       "      <td>22.160568</td>\n",
       "      <td>22.160136</td>\n",
       "      <td>22.159989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22.687518</td>\n",
       "      <td>22.687264</td>\n",
       "      <td>22.686504</td>\n",
       "      <td>22.685248</td>\n",
       "      <td>22.683511</td>\n",
       "      <td>22.681314</td>\n",
       "      <td>22.678682</td>\n",
       "      <td>22.675646</td>\n",
       "      <td>22.672238</td>\n",
       "      <td>22.668494</td>\n",
       "      <td>...</td>\n",
       "      <td>22.223040</td>\n",
       "      <td>22.227460</td>\n",
       "      <td>22.231504</td>\n",
       "      <td>22.235124</td>\n",
       "      <td>22.238275</td>\n",
       "      <td>22.240915</td>\n",
       "      <td>22.243009</td>\n",
       "      <td>22.244528</td>\n",
       "      <td>22.245448</td>\n",
       "      <td>22.245756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>22.687518</td>\n",
       "      <td>22.688014</td>\n",
       "      <td>22.689495</td>\n",
       "      <td>22.691942</td>\n",
       "      <td>22.695321</td>\n",
       "      <td>22.699586</td>\n",
       "      <td>22.704680</td>\n",
       "      <td>22.710533</td>\n",
       "      <td>22.717064</td>\n",
       "      <td>22.724179</td>\n",
       "      <td>...</td>\n",
       "      <td>22.295939</td>\n",
       "      <td>22.295733</td>\n",
       "      <td>22.295577</td>\n",
       "      <td>22.295463</td>\n",
       "      <td>22.295378</td>\n",
       "      <td>22.295318</td>\n",
       "      <td>22.295275</td>\n",
       "      <td>22.295247</td>\n",
       "      <td>22.295230</td>\n",
       "      <td>22.295225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>22.854015</td>\n",
       "      <td>22.853817</td>\n",
       "      <td>22.853224</td>\n",
       "      <td>22.852235</td>\n",
       "      <td>22.850853</td>\n",
       "      <td>22.849078</td>\n",
       "      <td>22.846916</td>\n",
       "      <td>22.844372</td>\n",
       "      <td>22.841457</td>\n",
       "      <td>22.838182</td>\n",
       "      <td>...</td>\n",
       "      <td>22.421716</td>\n",
       "      <td>22.421267</td>\n",
       "      <td>22.420923</td>\n",
       "      <td>22.420672</td>\n",
       "      <td>22.420498</td>\n",
       "      <td>22.420385</td>\n",
       "      <td>22.420318</td>\n",
       "      <td>22.420283</td>\n",
       "      <td>22.420266</td>\n",
       "      <td>22.420262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>22.929825</td>\n",
       "      <td>22.929672</td>\n",
       "      <td>22.929214</td>\n",
       "      <td>22.928449</td>\n",
       "      <td>22.927378</td>\n",
       "      <td>22.926002</td>\n",
       "      <td>22.924319</td>\n",
       "      <td>22.922329</td>\n",
       "      <td>22.920034</td>\n",
       "      <td>22.917431</td>\n",
       "      <td>...</td>\n",
       "      <td>22.574795</td>\n",
       "      <td>22.575215</td>\n",
       "      <td>22.572317</td>\n",
       "      <td>22.569711</td>\n",
       "      <td>22.567430</td>\n",
       "      <td>22.565507</td>\n",
       "      <td>22.563974</td>\n",
       "      <td>22.562857</td>\n",
       "      <td>22.562178</td>\n",
       "      <td>22.561950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>22.929825</td>\n",
       "      <td>22.930218</td>\n",
       "      <td>22.931390</td>\n",
       "      <td>22.933328</td>\n",
       "      <td>22.936008</td>\n",
       "      <td>22.939397</td>\n",
       "      <td>22.943455</td>\n",
       "      <td>22.948128</td>\n",
       "      <td>22.953361</td>\n",
       "      <td>22.959087</td>\n",
       "      <td>...</td>\n",
       "      <td>22.578374</td>\n",
       "      <td>22.579542</td>\n",
       "      <td>22.584071</td>\n",
       "      <td>22.588278</td>\n",
       "      <td>22.592059</td>\n",
       "      <td>22.595313</td>\n",
       "      <td>22.597951</td>\n",
       "      <td>22.599894</td>\n",
       "      <td>22.601085</td>\n",
       "      <td>22.601486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23.297131</td>\n",
       "      <td>23.297081</td>\n",
       "      <td>23.296930</td>\n",
       "      <td>23.296668</td>\n",
       "      <td>23.296281</td>\n",
       "      <td>23.295749</td>\n",
       "      <td>23.295046</td>\n",
       "      <td>23.294146</td>\n",
       "      <td>23.293017</td>\n",
       "      <td>23.291627</td>\n",
       "      <td>...</td>\n",
       "      <td>23.146740</td>\n",
       "      <td>23.152094</td>\n",
       "      <td>23.156961</td>\n",
       "      <td>23.161289</td>\n",
       "      <td>23.165031</td>\n",
       "      <td>23.168147</td>\n",
       "      <td>23.170604</td>\n",
       "      <td>23.172378</td>\n",
       "      <td>23.173449</td>\n",
       "      <td>23.173808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>24.394615</td>\n",
       "      <td>24.395037</td>\n",
       "      <td>24.396303</td>\n",
       "      <td>24.398413</td>\n",
       "      <td>24.401371</td>\n",
       "      <td>24.405178</td>\n",
       "      <td>24.409836</td>\n",
       "      <td>24.415350</td>\n",
       "      <td>24.421721</td>\n",
       "      <td>24.428950</td>\n",
       "      <td>...</td>\n",
       "      <td>24.247382</td>\n",
       "      <td>24.219323</td>\n",
       "      <td>24.193784</td>\n",
       "      <td>24.171043</td>\n",
       "      <td>24.151348</td>\n",
       "      <td>24.134917</td>\n",
       "      <td>24.121938</td>\n",
       "      <td>24.112557</td>\n",
       "      <td>24.106885</td>\n",
       "      <td>24.104987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>26.570251</td>\n",
       "      <td>26.570013</td>\n",
       "      <td>26.569300</td>\n",
       "      <td>26.568123</td>\n",
       "      <td>26.566495</td>\n",
       "      <td>26.564435</td>\n",
       "      <td>26.561969</td>\n",
       "      <td>26.559124</td>\n",
       "      <td>26.555933</td>\n",
       "      <td>26.552431</td>\n",
       "      <td>...</td>\n",
       "      <td>24.361999</td>\n",
       "      <td>24.332349</td>\n",
       "      <td>24.305639</td>\n",
       "      <td>24.282051</td>\n",
       "      <td>24.261757</td>\n",
       "      <td>24.244915</td>\n",
       "      <td>24.231662</td>\n",
       "      <td>24.222111</td>\n",
       "      <td>24.216346</td>\n",
       "      <td>24.214419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>26.823993</td>\n",
       "      <td>26.823664</td>\n",
       "      <td>26.822679</td>\n",
       "      <td>26.821047</td>\n",
       "      <td>26.818780</td>\n",
       "      <td>26.815898</td>\n",
       "      <td>26.812424</td>\n",
       "      <td>26.808384</td>\n",
       "      <td>26.803811</td>\n",
       "      <td>26.798737</td>\n",
       "      <td>...</td>\n",
       "      <td>24.843870</td>\n",
       "      <td>24.837818</td>\n",
       "      <td>24.833888</td>\n",
       "      <td>24.832018</td>\n",
       "      <td>24.832088</td>\n",
       "      <td>24.833871</td>\n",
       "      <td>24.836951</td>\n",
       "      <td>24.840604</td>\n",
       "      <td>24.843700</td>\n",
       "      <td>24.844943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>28.239928</td>\n",
       "      <td>28.239375</td>\n",
       "      <td>28.237717</td>\n",
       "      <td>28.234958</td>\n",
       "      <td>28.231103</td>\n",
       "      <td>28.226162</td>\n",
       "      <td>28.220146</td>\n",
       "      <td>28.213067</td>\n",
       "      <td>28.204940</td>\n",
       "      <td>28.195782</td>\n",
       "      <td>...</td>\n",
       "      <td>25.161977</td>\n",
       "      <td>25.124957</td>\n",
       "      <td>25.090411</td>\n",
       "      <td>25.058558</td>\n",
       "      <td>25.029668</td>\n",
       "      <td>25.004100</td>\n",
       "      <td>24.982389</td>\n",
       "      <td>24.965357</td>\n",
       "      <td>24.954203</td>\n",
       "      <td>24.950270</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0          1          2          3          4          5    \\\n",
       "0   -0.000765   0.083423   0.239937   0.380463   0.517027   0.651874   \n",
       "1    0.005641   0.143851   0.287459   0.430947   0.574212   0.717170   \n",
       "2    0.005642   0.251134   0.471586   0.696366   0.922814   1.149924   \n",
       "3    5.715403   5.717183   5.722515   5.731380   5.743745   5.759567   \n",
       "4    5.715403   5.719831   5.733083   5.755069   5.785637   5.824582   \n",
       "5    5.935156   5.936945   5.942306   5.951218   5.963646   5.979543   \n",
       "6    5.935156   5.939329   5.951821   5.972553   6.001394   6.038164   \n",
       "7    7.720530   7.721901   7.726012   7.732847   7.742384   7.754591   \n",
       "8    7.720756   7.724200   7.734517   7.751669   7.775587   7.806180   \n",
       "9   11.698833  11.698634  11.698040  11.697065  11.695733  11.694076   \n",
       "10  11.924707  11.924368  11.923356  11.921684  11.919375  11.916459   \n",
       "11  17.750886  17.749566  17.745611  17.739034  17.729853  17.718098   \n",
       "12  22.407204  22.407055  22.406611  22.405870  22.404835  22.403506   \n",
       "13  22.407890  22.408257  22.409353  22.411163  22.413663  22.416820   \n",
       "14  22.687518  22.687264  22.686504  22.685248  22.683511  22.681314   \n",
       "15  22.687518  22.688014  22.689495  22.691942  22.695321  22.699586   \n",
       "16  22.854015  22.853817  22.853224  22.852235  22.850853  22.849078   \n",
       "17  22.929825  22.929672  22.929214  22.928449  22.927378  22.926002   \n",
       "18  22.929825  22.930218  22.931390  22.933328  22.936008  22.939397   \n",
       "19  23.297131  23.297081  23.296930  23.296668  23.296281  23.295749   \n",
       "20  24.394615  24.395037  24.396303  24.398413  24.401371  24.405178   \n",
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       "\n",
       "          99         100  \n",
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       "14  22.245448  22.245756  \n",
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       "18  22.601085  22.601486  \n",
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       "22  24.843700  24.844943  \n",
       "23  24.954203  24.950270  \n",
       "\n",
       "[24 rows x 101 columns]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('../SiC-2nd/5/5.1/5.1.2/data.ods', engine='odf', header=None, sheet_name='Gamma-K')\n",
    "data2 = df.to_numpy()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
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            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "width": 1920,
        "yaxis": {
         "range": [
          22,
          30
         ]
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure()\n",
    "for m in range(0, 24):\n",
    "  fig.add_trace(go.Scatter(x=[*range(0, 101)], y=data2[m,:], mode='lines', name=f'{m}'))\n",
    "fig.update_layout(width=1920, height=1080, yaxis_range=[22, 30])\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置颜色\n",
    "# A-Gamma 的颜色\n",
    "color1 = ['gray'] * 24\n",
    "color1[23] = 'green'\n",
    "color1[19] = 'magenta'\n",
    "color1[18] = 'magenta'\n",
    "# Gamma-K 的颜色\n",
    "color2 = ['gray'] * 24\n",
    "color2[23] = 'red'\n",
    "color2[19] = 'blue'\n",
    "color2[16] = 'green'\n",
    "\n",
    "# data1 为 A-Gamma 的数据，data2 为 Gamma-K 的数据。\n",
    "# 第一个下标为第几个声子线，第二个下标为倒空间中的坐标\n",
    "\n",
    "# 取 A-Gamma 的长度为 100，那么 Gamma-K 的长度应该是 378。将它上采样。\n",
    "new_data2 = np.zeros((24, 379))\n",
    "for i in range(0, 24):\n",
    "  new_data2[i, :] = np.interp(np.linspace(0, 1, 379), np.linspace(0, 1, 101), data2[i, :])\n",
    "\n",
    "# 将单位从 THz 转到 cm^-1\n",
    "data1 = data1 * 33.35641\n",
    "new_data2 = new_data2 * 33.35641\n",
    "\n",
    "# 横坐标每一格为 0.0004937 A-1\n",
    "x1 = np.linspace(-100, 0, 101) * 0.0004937 * 1000\n",
    "x2 = np.linspace(0, 378, 379) * 0.0004937 * 1000\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 190x160 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(1.9, 1.6))\n",
    "ax = fig.add_subplot()\n",
    "for i in range(0, 24):\n",
    "  ax.plot(x1, data1[i,:], color=color1[i], linewidth=0.5)\n",
    "for i in range(0, 24):\n",
    "  ax.plot(x2, new_data2[i,:], color=color2[i], linewidth=0.5)\n",
    "\n",
    "# 重绘几条线，让它们在最上面\n",
    "for i in [18, 19, 23]:\n",
    "  ax.plot(x1, data1[i,:], color=color1[i], linewidth=0.5)\n",
    "for i in [16, 19, 23]:\n",
    "  ax.plot(x2, new_data2[i,:], color=color2[i], linewidth=0.5)\n",
    "ax.set(xlim=[-49.37, 186.61], ylim=[0, 1000])\n",
    "ax.tick_params(direction='in', labelsize=8)\n",
    "ax.set_xticks(np.arange(-50, 160, 50))\n",
    "# ax.set_xticks(np.arange(-50, 160, 100), minor=True)\n",
    "ax.tick_params(axis='x', which='minor', direction='in')\n",
    "ax2 = ax.twinx()\n",
    "ax2.spines['right'].set_position(['axes', 100 / 478])\n",
    "ax2.set_yticklabels([])\n",
    "ax2.tick_params(direction='inout')\n",
    "# 将左侧标签稍微往右移动一点\n",
    "ax.tick_params(axis='y', direction='in', pad=0)\n",
    "ax.set_ylabel(r'Frequency (cm$^{-1}$)', fontsize=8)\n",
    "ax.set_xlabel(r'$q$ ($\\times 10^{-3}\\textrm{\\AA}^{-1}$)', fontsize=8)\n",
    "fig.tight_layout()\n",
    "fig.savefig('画图/声子不连续/整体图.svg', format='svg', transparent=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 450x150 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(4.5, 1.5))\n",
    "ax = fig.add_subplot()\n",
    "for i in range(0, 24):\n",
    "  ax.plot(data1[i,-21:], x1[-21:], color=color1[i], linewidth=0.5)\n",
    "for i in range(0, 24):\n",
    "  ax.plot(new_data2[i,:21], x2[:21], color=color2[i], linewidth=0.5)\n",
    "for i in [18, 19, 23]:\n",
    "  ax.plot(data1[i,-21:], x1[-21:], color=color1[i], linewidth=1)\n",
    "for i in [16, 19, 23]:\n",
    "  ax.plot(new_data2[i,:21], x2[:21], color=color2[i], linewidth=1)\n",
    "ax.set(xlim=[150, 1000], ylim=[-9, 9])\n",
    "ax.invert_yaxis()\n",
    "ax.tick_params(direction='in', labelsize=8)\n",
    "ax2 = ax.twiny()\n",
    "ax2.spines['top'].set_position(('axes', 0.5))\n",
    "ax2.set_xticks([])\n",
    "ax.axhline(y=-5.1, color='orange', linestyle=':', linewidth=1)\n",
    "ax.axhline(y=5.1, color='orange', linestyle=':', linewidth=1)\n",
    "ax.set_xlabel(r'Frequency (cm$^{-1}$)', fontsize=8)\n",
    "ax.set_ylabel(r'$q$ ($\\times 10^{-3}\\textrm{\\AA}^{-1}$)', fontsize=8)\n",
    "fig.tight_layout()\n",
    "fig.savefig('画图/声子不连续/部分图.svg', format='svg', transparent=True, bbox_inches='tight')"
   ]
  }
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