analysis_NOT_report.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import myscripts.myplot as P\n",
    "import myscripts.helper as H\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# matplotlib settings\n",
    "%matplotlib inline\n",
    "plt.style.use(\"/Users/sst/visual.mplstyle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pandas settings\n",
    "pd.options.display.float_format = '{:,.3f}'.format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving figure?\n",
    "_SAVE = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Measured PDFs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>iq</th>\n",
       "      <th>sq</th>\n",
       "      <th>fq</th>\n",
       "      <th>gr</th>\n",
       "      <th>fgr0</th>\n",
       "      <th>fgr1</th>\n",
       "      <th>fgr2</th>\n",
       "      <th>csv0</th>\n",
       "      <th>csv1</th>\n",
       "      <th>csv2</th>\n",
       "      <th>...</th>\n",
       "      <th>csv_two_phase</th>\n",
       "      <th>fgr_two_phase</th>\n",
       "      <th>csv_two_phase_sine_wave</th>\n",
       "      <th>fgr_two_phase_sine_wave</th>\n",
       "      <th>csv_one_phase_logsp</th>\n",
       "      <th>fgr_one_phase_logsp</th>\n",
       "      <th>csv_two_phase_logsp</th>\n",
       "      <th>fgr_two_phase_logsp</th>\n",
       "      <th>final_csv</th>\n",
       "      <th>final_fgr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sample</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>JBNP31</th>\n",
       "      <td>data/JBNP31_20180812-155857_f2d424_0001_qmax22...</td>\n",
       "      <td>data/JBNP31_20180812-155857_f2d424_0001_qmax22...</td>\n",
       "      <td>data/JBNP31_20180812-155857_f2d424_0001_qmax22...</td>\n",
       "      <td>data/JBNP31_20180812-155857_f2d424_0001_qmax22...</td>\n",
       "      <td>res/JBNP31_fix_xyz_0.fgr</td>\n",
       "      <td>res/JBNP31_free_xyz_0.fgr</td>\n",
       "      <td>res/JBNP31_free_xyz_add_delta_0.fgr</td>\n",
       "      <td>res/JBNP31_fix_xyz_0.csv</td>\n",
       "      <td>res/JBNP31_free_xyz_0.csv</td>\n",
       "      <td>res/JBNP31_free_xyz_add_delta_0.csv</td>\n",
       "      <td>...</td>\n",
       "      <td>res/JBNP31_two_phase_0.csv</td>\n",
       "      <td>res/JBNP31_two_phase_0.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_one_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP31_one_phase_logsp_0.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_two_phase_0.csv</td>\n",
       "      <td>res/JBNP31_two_phase_0.fgr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP32L</th>\n",
       "      <td>data/JBNP32L_20180812-161119_2a1898_0001_qmax2...</td>\n",
       "      <td>data/JBNP32L_20180812-161119_2a1898_0001_qmax2...</td>\n",
       "      <td>data/JBNP32L_20180812-161119_2a1898_0001_qmax2...</td>\n",
       "      <td>data/JBNP32L_20180812-161119_2a1898_0001_qmax2...</td>\n",
       "      <td>res/JBNP32L_fix_xyz_0.fgr</td>\n",
       "      <td>res/JBNP32L_free_xyz_2.fgr</td>\n",
       "      <td>res/JBNP32L_free_xyz_add_delta_1.fgr</td>\n",
       "      <td>res/JBNP32L_fix_xyz_0.csv</td>\n",
       "      <td>res/JBNP32L_free_xyz_2.csv</td>\n",
       "      <td>res/JBNP32L_free_xyz_add_delta_1.csv</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP32L_two_phase_sine_wave_0.csv</td>\n",
       "      <td>res/JBNP32L_two_phase_sine_wave_0.fgr</td>\n",
       "      <td>res/JBNP32L_one_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP32L_one_phase_logsp_0.fgr</td>\n",
       "      <td>res/JBNP32L_two_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP32L_two_phase_logsp_0.fgr</td>\n",
       "      <td>res/JBNP32L_add_sine_wave_0.csv</td>\n",
       "      <td>res/JBNP32L_add_sine_wave_0.fgr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP32</th>\n",
       "      <td>data/JBNP32_20180812-154511_c241b0_0001_qmax22...</td>\n",
       "      <td>data/JBNP32_20180812-154511_c241b0_0001_qmax22...</td>\n",
       "      <td>data/JBNP32_20180812-154511_c241b0_0001_qmax22...</td>\n",
       "      <td>data/JBNP32_20180812-154511_c241b0_0001_qmax22...</td>\n",
       "      <td>res/JBNP32_fix_xyz_0.fgr</td>\n",
       "      <td>res/JBNP32_free_xyz_0.fgr</td>\n",
       "      <td>res/JBNP32_free_xyz_add_delta_0.fgr</td>\n",
       "      <td>res/JBNP32_fix_xyz_0.csv</td>\n",
       "      <td>res/JBNP32_free_xyz_0.csv</td>\n",
       "      <td>res/JBNP32_free_xyz_add_delta_0.csv</td>\n",
       "      <td>...</td>\n",
       "      <td>res/JBNP32_two_phase_1.csv</td>\n",
       "      <td>res/JBNP32_two_phase_1.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP32_one_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP32_one_phase_logsp_0.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP32_two_phase_1.csv</td>\n",
       "      <td>res/JBNP32_two_phase_1.fgr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP33L</th>\n",
       "      <td>data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...</td>\n",
       "      <td>data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...</td>\n",
       "      <td>data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...</td>\n",
       "      <td>data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...</td>\n",
       "      <td>res/JBNP33L_fix_xyz_0.fgr</td>\n",
       "      <td>res/JBNP33L_free_xyz_0.fgr</td>\n",
       "      <td>res/JBNP33L_free_xyz_add_delta_0.fgr</td>\n",
       "      <td>res/JBNP33L_fix_xyz_0.csv</td>\n",
       "      <td>res/JBNP33L_free_xyz_0.csv</td>\n",
       "      <td>res/JBNP33L_free_xyz_add_delta_0.csv</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP33L_two_phase_sine_wave_0.csv</td>\n",
       "      <td>res/JBNP33L_two_phase_sine_wave_0.fgr</td>\n",
       "      <td>res/JBNP33L_one_phase_logsp_1.csv</td>\n",
       "      <td>res/JBNP33L_one_phase_logsp_1.fgr</td>\n",
       "      <td>res/JBNP33L_two_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP33L_two_phase_logsp_0.fgr</td>\n",
       "      <td>res/JBNP33L_two_phase_sine_wave_0.csv</td>\n",
       "      <td>res/JBNP33L_two_phase_sine_wave_0.fgr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP33</th>\n",
       "      <td>data/JBNP33_20180812-153159_3bdc30_0001_qmax22...</td>\n",
       "      <td>data/JBNP33_20180812-153159_3bdc30_0001_qmax22...</td>\n",
       "      <td>data/JBNP33_20180812-153159_3bdc30_0001_qmax22...</td>\n",
       "      <td>data/JBNP33_20180812-153159_3bdc30_0001_qmax22...</td>\n",
       "      <td>res/JBNP33_fix_xyz_0.fgr</td>\n",
       "      <td>res/JBNP33_free_xyz_0.fgr</td>\n",
       "      <td>res/JBNP33_free_xyz_add_delta_0.fgr</td>\n",
       "      <td>res/JBNP33_fix_xyz_0.csv</td>\n",
       "      <td>res/JBNP33_free_xyz_0.csv</td>\n",
       "      <td>res/JBNP33_free_xyz_add_delta_0.csv</td>\n",
       "      <td>...</td>\n",
       "      <td>res/JBNP33_two_phase_0.csv</td>\n",
       "      <td>res/JBNP33_two_phase_0.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP33_one_phase_logsp_0.csv</td>\n",
       "      <td>res/JBNP33_one_phase_logsp_0.fgr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP33_two_phase_0.csv</td>\n",
       "      <td>res/JBNP33_two_phase_0.fgr</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                        iq  \\\n",
       "sample                                                       \n",
       "JBNP31   data/JBNP31_20180812-155857_f2d424_0001_qmax22...   \n",
       "JBNP32L  data/JBNP32L_20180812-161119_2a1898_0001_qmax2...   \n",
       "JBNP32   data/JBNP32_20180812-154511_c241b0_0001_qmax22...   \n",
       "JBNP33L  data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...   \n",
       "JBNP33   data/JBNP33_20180812-153159_3bdc30_0001_qmax22...   \n",
       "\n",
       "                                                        sq  \\\n",
       "sample                                                       \n",
       "JBNP31   data/JBNP31_20180812-155857_f2d424_0001_qmax22...   \n",
       "JBNP32L  data/JBNP32L_20180812-161119_2a1898_0001_qmax2...   \n",
       "JBNP32   data/JBNP32_20180812-154511_c241b0_0001_qmax22...   \n",
       "JBNP33L  data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...   \n",
       "JBNP33   data/JBNP33_20180812-153159_3bdc30_0001_qmax22...   \n",
       "\n",
       "                                                        fq  \\\n",
       "sample                                                       \n",
       "JBNP31   data/JBNP31_20180812-155857_f2d424_0001_qmax22...   \n",
       "JBNP32L  data/JBNP32L_20180812-161119_2a1898_0001_qmax2...   \n",
       "JBNP32   data/JBNP32_20180812-154511_c241b0_0001_qmax22...   \n",
       "JBNP33L  data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...   \n",
       "JBNP33   data/JBNP33_20180812-153159_3bdc30_0001_qmax22...   \n",
       "\n",
       "                                                        gr  \\\n",
       "sample                                                       \n",
       "JBNP31   data/JBNP31_20180812-155857_f2d424_0001_qmax22...   \n",
       "JBNP32L  data/JBNP32L_20180812-161119_2a1898_0001_qmax2...   \n",
       "JBNP32   data/JBNP32_20180812-154511_c241b0_0001_qmax22...   \n",
       "JBNP33L  data/JBNP33L_20180812-162201_05b4b9_0001_qmax2...   \n",
       "JBNP33   data/JBNP33_20180812-153159_3bdc30_0001_qmax22...   \n",
       "\n",
       "                              fgr0                        fgr1  \\\n",
       "sample                                                           \n",
       "JBNP31    res/JBNP31_fix_xyz_0.fgr   res/JBNP31_free_xyz_0.fgr   \n",
       "JBNP32L  res/JBNP32L_fix_xyz_0.fgr  res/JBNP32L_free_xyz_2.fgr   \n",
       "JBNP32    res/JBNP32_fix_xyz_0.fgr   res/JBNP32_free_xyz_0.fgr   \n",
       "JBNP33L  res/JBNP33L_fix_xyz_0.fgr  res/JBNP33L_free_xyz_0.fgr   \n",
       "JBNP33    res/JBNP33_fix_xyz_0.fgr   res/JBNP33_free_xyz_0.fgr   \n",
       "\n",
       "                                         fgr2                       csv0  \\\n",
       "sample                                                                     \n",
       "JBNP31    res/JBNP31_free_xyz_add_delta_0.fgr   res/JBNP31_fix_xyz_0.csv   \n",
       "JBNP32L  res/JBNP32L_free_xyz_add_delta_1.fgr  res/JBNP32L_fix_xyz_0.csv   \n",
       "JBNP32    res/JBNP32_free_xyz_add_delta_0.fgr   res/JBNP32_fix_xyz_0.csv   \n",
       "JBNP33L  res/JBNP33L_free_xyz_add_delta_0.fgr  res/JBNP33L_fix_xyz_0.csv   \n",
       "JBNP33    res/JBNP33_free_xyz_add_delta_0.fgr   res/JBNP33_fix_xyz_0.csv   \n",
       "\n",
       "                               csv1                                  csv2  \\\n",
       "sample                                                                      \n",
       "JBNP31    res/JBNP31_free_xyz_0.csv   res/JBNP31_free_xyz_add_delta_0.csv   \n",
       "JBNP32L  res/JBNP32L_free_xyz_2.csv  res/JBNP32L_free_xyz_add_delta_1.csv   \n",
       "JBNP32    res/JBNP32_free_xyz_0.csv   res/JBNP32_free_xyz_add_delta_0.csv   \n",
       "JBNP33L  res/JBNP33L_free_xyz_0.csv  res/JBNP33L_free_xyz_add_delta_0.csv   \n",
       "JBNP33    res/JBNP33_free_xyz_0.csv   res/JBNP33_free_xyz_add_delta_0.csv   \n",
       "\n",
       "         ...               csv_two_phase               fgr_two_phase  \\\n",
       "sample   ...                                                           \n",
       "JBNP31   ...  res/JBNP31_two_phase_0.csv  res/JBNP31_two_phase_0.fgr   \n",
       "JBNP32L  ...                         NaN                         NaN   \n",
       "JBNP32   ...  res/JBNP32_two_phase_1.csv  res/JBNP32_two_phase_1.fgr   \n",
       "JBNP33L  ...                         NaN                         NaN   \n",
       "JBNP33   ...  res/JBNP33_two_phase_0.csv  res/JBNP33_two_phase_0.fgr   \n",
       "\n",
       "                       csv_two_phase_sine_wave  \\\n",
       "sample                                           \n",
       "JBNP31                                     NaN   \n",
       "JBNP32L  res/JBNP32L_two_phase_sine_wave_0.csv   \n",
       "JBNP32                                     NaN   \n",
       "JBNP33L  res/JBNP33L_two_phase_sine_wave_0.csv   \n",
       "JBNP33                                     NaN   \n",
       "\n",
       "                       fgr_two_phase_sine_wave  \\\n",
       "sample                                           \n",
       "JBNP31                                     NaN   \n",
       "JBNP32L  res/JBNP32L_two_phase_sine_wave_0.fgr   \n",
       "JBNP32                                     NaN   \n",
       "JBNP33L  res/JBNP33L_two_phase_sine_wave_0.fgr   \n",
       "JBNP33                                     NaN   \n",
       "\n",
       "                       csv_one_phase_logsp                fgr_one_phase_logsp  \\\n",
       "sample                                                                          \n",
       "JBNP31    res/JBNP31_one_phase_logsp_0.csv   res/JBNP31_one_phase_logsp_0.fgr   \n",
       "JBNP32L  res/JBNP32L_one_phase_logsp_0.csv  res/JBNP32L_one_phase_logsp_0.fgr   \n",
       "JBNP32    res/JBNP32_one_phase_logsp_0.csv   res/JBNP32_one_phase_logsp_0.fgr   \n",
       "JBNP33L  res/JBNP33L_one_phase_logsp_1.csv  res/JBNP33L_one_phase_logsp_1.fgr   \n",
       "JBNP33    res/JBNP33_one_phase_logsp_0.csv   res/JBNP33_one_phase_logsp_0.fgr   \n",
       "\n",
       "                       csv_two_phase_logsp                fgr_two_phase_logsp  \\\n",
       "sample                                                                          \n",
       "JBNP31                                 NaN                                NaN   \n",
       "JBNP32L  res/JBNP32L_two_phase_logsp_0.csv  res/JBNP32L_two_phase_logsp_0.fgr   \n",
       "JBNP32                                 NaN                                NaN   \n",
       "JBNP33L  res/JBNP33L_two_phase_logsp_0.csv  res/JBNP33L_two_phase_logsp_0.fgr   \n",
       "JBNP33                                 NaN                                NaN   \n",
       "\n",
       "                                     final_csv  \\\n",
       "sample                                           \n",
       "JBNP31              res/JBNP31_two_phase_0.csv   \n",
       "JBNP32L        res/JBNP32L_add_sine_wave_0.csv   \n",
       "JBNP32              res/JBNP32_two_phase_1.csv   \n",
       "JBNP33L  res/JBNP33L_two_phase_sine_wave_0.csv   \n",
       "JBNP33              res/JBNP33_two_phase_0.csv   \n",
       "\n",
       "                                     final_fgr  \n",
       "sample                                          \n",
       "JBNP31              res/JBNP31_two_phase_0.fgr  \n",
       "JBNP32L        res/JBNP32L_add_sine_wave_0.fgr  \n",
       "JBNP32              res/JBNP32_two_phase_1.fgr  \n",
       "JBNP33L  res/JBNP33L_two_phase_sine_wave_0.fgr  \n",
       "JBNP33              res/JBNP33_two_phase_0.fgr  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATA = pd.read_csv('data_info.csv', index_col=0)\n",
    "DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "P.plot_gr(DATA['gr'], names=DATA.index, normal=True, colors=DATA['color'])\n",
    "plt.title('Measured PDFs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fitting Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>description</th>\n",
       "      <th>file</th>\n",
       "      <th>name</th>\n",
       "      <th>rw</th>\n",
       "      <th>info</th>\n",
       "      <th>cf</th>\n",
       "      <th>phase</th>\n",
       "      <th>rmax</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_41e9.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>20.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_64f2.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>20.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_1ca1.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze + Anatase</td>\n",
       "      <td>20.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_e86e.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>20.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_ad47.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP31_d105.csv</td>\n",
       "      <td>JBNP31</td>\n",
       "      <td>0.125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze + Anatase</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP32_cca3.csv</td>\n",
       "      <td>JBNP32</td>\n",
       "      <td>0.146</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP32_ea6b.csv</td>\n",
       "      <td>JBNP32</td>\n",
       "      <td>0.124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze + Anatase</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP33_6fba.csv</td>\n",
       "      <td>JBNP33</td>\n",
       "      <td>0.203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP33_1475.csv</td>\n",
       "      <td>JBNP33</td>\n",
       "      <td>0.111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>two sphericalCFs</td>\n",
       "      <td>Bronze + Anatase</td>\n",
       "      <td>50.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   description                 file    name    rw info                cf  \\\n",
       "74         NaN  res/JBNP31_41e9.csv  JBNP31 0.491  NaN  two sphericalCFs   \n",
       "75         NaN  res/JBNP31_64f2.csv  JBNP31 0.615  NaN  two sphericalCFs   \n",
       "76         NaN  res/JBNP31_1ca1.csv  JBNP31 0.470  NaN  two sphericalCFs   \n",
       "77         NaN  res/JBNP31_e86e.csv  JBNP31 0.131  NaN  two sphericalCFs   \n",
       "78         NaN  res/JBNP31_ad47.csv  JBNP31 0.141  NaN  two sphericalCFs   \n",
       "79         NaN  res/JBNP31_d105.csv  JBNP31 0.125  NaN  two sphericalCFs   \n",
       "80         NaN  res/JBNP32_cca3.csv  JBNP32 0.146  NaN  two sphericalCFs   \n",
       "81         NaN  res/JBNP32_ea6b.csv  JBNP32 0.124  NaN  two sphericalCFs   \n",
       "82         NaN  res/JBNP33_6fba.csv  JBNP33 0.203  NaN  two sphericalCFs   \n",
       "83         NaN  res/JBNP33_1475.csv  JBNP33 0.111  NaN  two sphericalCFs   \n",
       "\n",
       "               phase   rmax  \n",
       "74            Bronze 20.000  \n",
       "75            Bronze 20.000  \n",
       "76  Bronze + Anatase 20.000  \n",
       "77            Bronze 20.000  \n",
       "78            Bronze 50.000  \n",
       "79  Bronze + Anatase 50.000  \n",
       "80            Bronze 50.000  \n",
       "81  Bronze + Anatase 50.000  \n",
       "82            Bronze 50.000  \n",
       "83  Bronze + Anatase 50.000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RES = pd.read_csv('meta/csv.csv').loc[74:]\n",
    "RES"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only Anatase phase is the true impurity phase because other phases yield unreal fitting results.\n",
    "\n",
    "Below is the results for the lowest Rw."
   ]
  },
  {
   "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>name</th>\n",
       "      <th>JBNP13005</th>\n",
       "      <th>JBNP15505</th>\n",
       "      <th>JBNP15530</th>\n",
       "      <th>JBNP18005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rw</th>\n",
       "      <td>0.167</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>half_chi2</th>\n",
       "      <td>0.475</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.784</td>\n",
       "      <td>0.755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frac_b1</th>\n",
       "      <td>0.348</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psize_Bronze_1</th>\n",
       "      <td>49.186</td>\n",
       "      <td>53.591</td>\n",
       "      <td>56.020</td>\n",
       "      <td>54.272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psize_Bronze_2</th>\n",
       "      <td>24.609</td>\n",
       "      <td>26.434</td>\n",
       "      <td>26.219</td>\n",
       "      <td>26.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scale_Bronze</th>\n",
       "      <td>0.167</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delta2_Bronze</th>\n",
       "      <td>3.016</td>\n",
       "      <td>3.005</td>\n",
       "      <td>2.986</td>\n",
       "      <td>2.939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_Bronze</th>\n",
       "      <td>12.177</td>\n",
       "      <td>12.173</td>\n",
       "      <td>12.167</td>\n",
       "      <td>12.169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b_Bronze</th>\n",
       "      <td>3.756</td>\n",
       "      <td>3.755</td>\n",
       "      <td>3.753</td>\n",
       "      <td>3.751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_Bronze</th>\n",
       "      <td>6.493</td>\n",
       "      <td>6.496</td>\n",
       "      <td>6.489</td>\n",
       "      <td>6.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_Bronze</th>\n",
       "      <td>106.970</td>\n",
       "      <td>107.042</td>\n",
       "      <td>107.005</td>\n",
       "      <td>107.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_0_Bronze</th>\n",
       "      <td>0.007</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_0_Bronze</th>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_0_Bronze</th>\n",
       "      <td>0.008</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_0_Bronze</th>\n",
       "      <td>0.013</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_4_Bronze</th>\n",
       "      <td>0.007</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_4_Bronze</th>\n",
       "      <td>0.003</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_4_Bronze</th>\n",
       "      <td>0.008</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_4_Bronze</th>\n",
       "      <td>0.010</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_8_Bronze</th>\n",
       "      <td>0.006</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_8_Bronze</th>\n",
       "      <td>0.012</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_8_Bronze</th>\n",
       "      <td>0.015</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_8_Bronze</th>\n",
       "      <td>0.011</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_12_Bronze</th>\n",
       "      <td>0.026</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.042</td>\n",
       "      <td>0.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_12_Bronze</th>\n",
       "      <td>0.020</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.017</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_12_Bronze</th>\n",
       "      <td>0.023</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_12_Bronze</th>\n",
       "      <td>0.030</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.029</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_16_Bronze</th>\n",
       "      <td>0.005</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_16_Bronze</th>\n",
       "      <td>0.009</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_16_Bronze</th>\n",
       "      <td>0.007</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_16_Bronze</th>\n",
       "      <td>0.051</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_20_Bronze</th>\n",
       "      <td>0.017</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U13_20_Bronze</th>\n",
       "      <td>0.009</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.014</td>\n",
       "      <td>0.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_20_Bronze</th>\n",
       "      <td>0.007</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_20_Bronze</th>\n",
       "      <td>0.000</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_0_Bronze</th>\n",
       "      <td>0.800</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_0_Bronze</th>\n",
       "      <td>0.708</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_4_Bronze</th>\n",
       "      <td>0.600</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_4_Bronze</th>\n",
       "      <td>0.703</td>\n",
       "      <td>0.702</td>\n",
       "      <td>0.703</td>\n",
       "      <td>0.702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_8_Bronze</th>\n",
       "      <td>0.362</td>\n",
       "      <td>0.364</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_8_Bronze</th>\n",
       "      <td>0.981</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_12_Bronze</th>\n",
       "      <td>0.779</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_12_Bronze</th>\n",
       "      <td>0.675</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_16_Bronze</th>\n",
       "      <td>0.551</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_16_Bronze</th>\n",
       "      <td>0.360</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.364</td>\n",
       "      <td>0.358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_20_Bronze</th>\n",
       "      <td>0.371</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_20_Bronze</th>\n",
       "      <td>0.299</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psize_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>40.000</td>\n",
       "      <td>68.079</td>\n",
       "      <td>76.856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scale_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delta2_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>3.787</td>\n",
       "      <td>3.785</td>\n",
       "      <td>3.786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>9.494</td>\n",
       "      <td>9.493</td>\n",
       "      <td>9.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_0_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_0_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U11_4_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U22_4_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U33_4_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z_4_Anatase</th>\n",
       "      <td>nan</td>\n",
       "      <td>0.460</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.457</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "name            JBNP13005  JBNP15505  JBNP15530  JBNP18005\n",
       "Rw                  0.167      0.272      0.246      0.214\n",
       "half_chi2           0.475      0.778      0.784      0.755\n",
       "frac_b1             0.348      0.448      0.489      0.565\n",
       "psize_Bronze_1     49.186     53.591     56.020     54.272\n",
       "psize_Bronze_2     24.609     26.434     26.219     26.039\n",
       "scale_Bronze        0.167      0.120      0.123      0.137\n",
       "delta2_Bronze       3.016      3.005      2.986      2.939\n",
       "a_Bronze           12.177     12.173     12.167     12.169\n",
       "b_Bronze            3.756      3.755      3.753      3.751\n",
       "c_Bronze            6.493      6.496      6.489      6.500\n",
       "beta_Bronze       106.970    107.042    107.005    107.042\n",
       "U33_0_Bronze        0.007      0.005      0.004      0.002\n",
       "U13_0_Bronze        0.002      0.002      0.001      0.001\n",
       "U11_0_Bronze        0.008      0.008      0.011      0.010\n",
       "U22_0_Bronze        0.013      0.018      0.013      0.013\n",
       "U33_4_Bronze        0.007      0.009      0.010      0.012\n",
       "U13_4_Bronze        0.003      0.001      0.001      0.001\n",
       "U11_4_Bronze        0.008      0.006      0.004      0.002\n",
       "U22_4_Bronze        0.010      0.010      0.007      0.008\n",
       "U33_8_Bronze        0.006      0.008      0.010      0.001\n",
       "U13_8_Bronze        0.012      0.003      0.002      0.006\n",
       "U11_8_Bronze        0.015      0.020      0.025      0.014\n",
       "U22_8_Bronze        0.011      0.013      0.023      0.021\n",
       "U33_12_Bronze       0.026      0.038      0.042      0.054\n",
       "U13_12_Bronze       0.020      0.024      0.017      0.056\n",
       "U11_12_Bronze       0.023      0.030      0.006      0.063\n",
       "U22_12_Bronze       0.030      0.026      0.029      0.028\n",
       "U33_16_Bronze       0.005      0.008      0.013      0.005\n",
       "U13_16_Bronze       0.009      0.004      0.007      0.011\n",
       "U11_16_Bronze       0.007      0.001      0.001      0.008\n",
       "U22_16_Bronze       0.051      0.060      0.056      0.044\n",
       "U33_20_Bronze       0.017      0.015      0.016      0.021\n",
       "U13_20_Bronze       0.009      0.006      0.014      0.013\n",
       "U11_20_Bronze       0.007      0.007      0.010      0.014\n",
       "U22_20_Bronze       0.000      0.004      0.000      0.003\n",
       "x_0_Bronze          0.800      0.799      0.799      0.799\n",
       "z_0_Bronze          0.708      0.707      0.707      0.708\n",
       "x_4_Bronze          0.600      0.600      0.599      0.600\n",
       "z_4_Bronze          0.703      0.702      0.703      0.702\n",
       "x_8_Bronze          0.362      0.364      0.363      0.363\n",
       "z_8_Bronze          0.981      0.984      0.983      0.983\n",
       "x_12_Bronze         0.779      0.780      0.777      0.782\n",
       "z_12_Bronze         0.675      0.679      0.666      0.677\n",
       "x_16_Bronze         0.551      0.552      0.552      0.550\n",
       "z_16_Bronze         0.360      0.362      0.364      0.358\n",
       "x_20_Bronze         0.371      0.372      0.372      0.372\n",
       "z_20_Bronze         0.299      0.305      0.301      0.304\n",
       "psize_Anatase         nan     40.000     68.079     76.856\n",
       "scale_Anatase         nan      0.005      0.009      0.005\n",
       "delta2_Anatase        nan      0.000      0.032      0.000\n",
       "a_Anatase             nan      3.787      3.785      3.786\n",
       "c_Anatase             nan      9.494      9.493      9.491\n",
       "U11_0_Anatase         nan      0.006      0.005      0.004\n",
       "U33_0_Anatase         nan      0.006      0.005      0.004\n",
       "U11_4_Anatase         nan      0.006      0.012      0.006\n",
       "U22_4_Anatase         nan      0.006      0.012      0.006\n",
       "U33_4_Anatase         nan      0.006      0.012      0.006\n",
       "z_4_Anatase           nan      0.460      0.459      0.457"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fitting results\n",
    "res = RES.loc[[37, 40, 42, 44]]\n",
    "val = H.join_result(res['file'], column_names=res['name'])\n",
    "val = val.abs()\n",
    "val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# standard deviation\n",
    "std = H.join_result(res['file'], chosen_column='std', column_names=res['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name\n",
       "JBNP13005     nan\n",
       "JBNP15505   0.040\n",
       "JBNP15530   0.068\n",
       "JBNP18005   0.036\n",
       "Name: fraction of TiO2(Anatase), dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate ratio Bronze / Anatase\n",
    "scale_bronze = val.loc['scale_Bronze']\n",
    "scale_anatase = val.loc['scale_Anatase']\n",
    "\n",
    "frac_anatase = scale_anatase / (scale_bronze + scale_anatase)\n",
    "frac_anatase.name = \"fraction of TiO2(Anatase)\"\n",
    "frac_anatase"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fitted PDFs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### data in new_data3 (rpoly = 0.9, qmax=18.95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>description</th>\n",
       "      <th>file</th>\n",
       "      <th>rw</th>\n",
       "      <th>name</th>\n",
       "      <th>info</th>\n",
       "      <th>cf</th>\n",
       "      <th>phase</th>\n",
       "      <th>rmax</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP13005_9d6e_twophase.fgr</td>\n",
       "      <td>0.167</td>\n",
       "      <td>JBNP13005</td>\n",
       "      <td>{'description': 'fit with Bronze phase only'}</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP13005_026a_twophase.fgr</td>\n",
       "      <td>0.210</td>\n",
       "      <td>JBNP13005</td>\n",
       "      <td>{'description': 'fit with Bronze and Anatase p...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP15505_f2ca_twophase.fgr</td>\n",
       "      <td>0.284</td>\n",
       "      <td>JBNP15505</td>\n",
       "      <td>{'description': 'fit with Bronze phase only'}</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP15505_6384_twophase.fgr</td>\n",
       "      <td>0.272</td>\n",
       "      <td>JBNP15505</td>\n",
       "      <td>{'description': 'fit with Bronze and Anatase p...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP15530_9ec4_twophase.fgr</td>\n",
       "      <td>0.305</td>\n",
       "      <td>JBNP15530</td>\n",
       "      <td>{'description': 'fit with Bronze phase only'}</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP15530_55e8_twophase.fgr</td>\n",
       "      <td>0.246</td>\n",
       "      <td>JBNP15530</td>\n",
       "      <td>{'description': 'fit with Bronze and Anatase p...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP18005_cb03_twophase.fgr</td>\n",
       "      <td>0.240</td>\n",
       "      <td>JBNP18005</td>\n",
       "      <td>{'description': 'fit with Bronze phase only'}</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>NaN</td>\n",
       "      <td>res/JBNP18005_bd7d_twophase.fgr</td>\n",
       "      <td>0.214</td>\n",
       "      <td>JBNP18005</td>\n",
       "      <td>{'description': 'fit with Bronze and Anatase p...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   description                             file    rw       name  \\\n",
       "37         NaN  res/JBNP13005_9d6e_twophase.fgr 0.167  JBNP13005   \n",
       "38         NaN  res/JBNP13005_026a_twophase.fgr 0.210  JBNP13005   \n",
       "39         NaN  res/JBNP15505_f2ca_twophase.fgr 0.284  JBNP15505   \n",
       "40         NaN  res/JBNP15505_6384_twophase.fgr 0.272  JBNP15505   \n",
       "41         NaN  res/JBNP15530_9ec4_twophase.fgr 0.305  JBNP15530   \n",
       "42         NaN  res/JBNP15530_55e8_twophase.fgr 0.246  JBNP15530   \n",
       "43         NaN  res/JBNP18005_cb03_twophase.fgr 0.240  JBNP18005   \n",
       "44         NaN  res/JBNP18005_bd7d_twophase.fgr 0.214  JBNP18005   \n",
       "\n",
       "                                                 info   cf phase  rmax  \n",
       "37      {'description': 'fit with Bronze phase only'}  NaN   NaN   nan  \n",
       "38  {'description': 'fit with Bronze and Anatase p...  NaN   NaN   nan  \n",
       "39      {'description': 'fit with Bronze phase only'}  NaN   NaN   nan  \n",
       "40  {'description': 'fit with Bronze and Anatase p...  NaN   NaN   nan  \n",
       "41      {'description': 'fit with Bronze phase only'}  NaN   NaN   nan  \n",
       "42  {'description': 'fit with Bronze and Anatase p...  NaN   NaN   nan  \n",
       "43      {'description': 'fit with Bronze phase only'}  NaN   NaN   nan  \n",
       "44  {'description': 'fit with Bronze and Anatase p...  NaN   NaN   nan  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PDF = pd.read_csv(\"meta/fgr.csv\").loc[37:44]\n",
    "PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = PDF.loc[[37, 40, 42, 44]]\n",
    "plt.figure()\n",
    "colors = [DATA.loc[label, 'color'] for label in df['name']]\n",
    "P.plot_fgr(df['file'], auto_rw=True, names=df['name'], res_scale=3, colors=colors)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### best model\n",
    "\n",
    "Only JBNP13005 no bronze phase, the others Bronze + Anatase\n",
    "\n",
    "### There is a high peak at 2.8 A and another at 3.1 A in residuals. Where do they come from?\n",
    "\n",
    "(1) Some extra phase: Ti30O60?\n",
    "\n",
    "(2) Some local structure."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Particle size (Characteristic function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>name</th>\n",
       "      <th>JBNP13005</th>\n",
       "      <th>JBNP15505</th>\n",
       "      <th>JBNP15530</th>\n",
       "      <th>JBNP18005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>frac_b1</th>\n",
       "      <td>0.348</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psize_Bronze_1</th>\n",
       "      <td>49.186</td>\n",
       "      <td>53.591</td>\n",
       "      <td>56.020</td>\n",
       "      <td>54.272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psize_Bronze_2</th>\n",
       "      <td>24.609</td>\n",
       "      <td>26.434</td>\n",
       "      <td>26.219</td>\n",
       "      <td>26.039</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "name            JBNP13005  JBNP15505  JBNP15530  JBNP18005\n",
       "frac_b1             0.348      0.448      0.489      0.565\n",
       "psize_Bronze_1     49.186     53.591     56.020     54.272\n",
       "psize_Bronze_2     24.609     26.434     26.219     26.039"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cha_index = [\"frac_b1\", \"psize_Bronze_1\", \"psize_Bronze_2\"]\n",
    "CHA = val.loc[cha_index, :]\n",
    "CHA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import diffpy.srfit.pdf.characteristicfunctions as F\n",
    "\n",
    "\n",
    "def cha_func(x, params):\n",
    "    a = params.frac_b1\n",
    "    f1 = F.sphericalCF(x, params.psize_Bronze_1)\n",
    "    f2 = F.sphericalCF(x, params.psize_Bronze_2)\n",
    "    return a * f1 + (1 - a) * f2\n",
    "\n",
    "\n",
    "def draw_function(df_cha, df_data):\n",
    "    plt.xlabel(r\"r ($\\AA$)\")\n",
    "    plt.ylabel(r\"f ($\\AA^{-2}$)\")\n",
    "\n",
    "    datalist = []\n",
    "    for sample, params in df_cha.iteritems():\n",
    "        data = {}\n",
    "        data[\"sample\"] = sample\n",
    "        data[\"x\"] = x = np.arange(0., 60.001, 0.1)\n",
    "        data[\"y\"] = y = cha_func(x, params)\n",
    "        data[\"x0\"] = x[np.argmax(y < 1e-12)]\n",
    "        data[\"color\"] = df_data.loc[sample, 'color']\n",
    "        datalist.append(data)\n",
    "\n",
    "    datalist = sorted(datalist, key = lambda data: data[\"x0\"])\n",
    "\n",
    "    for data in datalist:\n",
    "        plt.plot(data[\"x\"], data[\"y\"], label=data[\"sample\"], c=data[\"color\"])\n",
    "        plt.axvline(data[\"x0\"], ls=\"--\", c=data[\"color\"])\n",
    "\n",
    "    plt.legend(loc=3)\n",
    "    H.config_ax()\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "draw_function(CHA, DATA)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lattice Constants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>name</th>\n",
       "      <th>JBNP13005</th>\n",
       "      <th>JBNP15505</th>\n",
       "      <th>JBNP15530</th>\n",
       "      <th>JBNP18005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a_Bronze</th>\n",
       "      <td>12.177</td>\n",
       "      <td>12.173</td>\n",
       "      <td>12.167</td>\n",
       "      <td>12.169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b_Bronze</th>\n",
       "      <td>3.756</td>\n",
       "      <td>3.755</td>\n",
       "      <td>3.753</td>\n",
       "      <td>3.751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_Bronze</th>\n",
       "      <td>6.493</td>\n",
       "      <td>6.496</td>\n",
       "      <td>6.489</td>\n",
       "      <td>6.500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "name      JBNP13005  JBNP15505  JBNP15530  JBNP18005\n",
       "a_Bronze     12.177     12.173     12.167     12.169\n",
       "b_Bronze      3.756      3.755      3.753      3.751\n",
       "c_Bronze      6.493      6.496      6.489      6.500"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LAT = val.loc[[\"a_Bronze\", \"b_Bronze\", \"c_Bronze\"]]\n",
    "LAT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compare_lattice(df_lat):\n",
    "    axs = []\n",
    "    for n, (param, data) in enumerate(df_lat.iterrows()):\n",
    "        ax = plt.axes([0.2, 0.6 - n * 0.2, 0.6, 0.2])\n",
    "        ax.plot(data, \"o\", ms=10.)\n",
    "\n",
    "        mean = data.mean()\n",
    "        ax.axhline(mean, ls=\"--\")\n",
    "        ax.set_ylim(mean - 0.01, mean + 0.01)\n",
    "\n",
    "        lat = param.split(\"_\")[0]\n",
    "        ylabel = rf\"{lat} ($\\AA$)\"\n",
    "        ax.set_ylabel(ylabel)\n",
    "        H.config_ax()\n",
    "        axs.append(ax)\n",
    "\n",
    "    for ax in axs[:-1]:\n",
    "        ax.set_xticklabels([])\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "compare_lattice(LAT)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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