{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "65452154",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.stats\n",
    "from matplotlib import rc\n",
    "import seaborn as sns\n",
    "rc('font',**{'family':'serif','serif':['Arial']})\n",
    "plt.rcParams['pdf.fonttype'] = 42\n",
    "rc('xtick', labelsize=7) \n",
    "rc('ytick', labelsize=7) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4b5fb149",
   "metadata": {},
   "outputs": [],
   "source": [
    "WT_TS=pd.read_csv('1.5_fold_threshold_justification_WT_TS.csv',index_col=0)\n",
    "WT_NTS=pd.read_csv('1.5_fold_threshold_justification_WT_NTS.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "287ce81b",
   "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>bm01_TS</th>\n",
       "      <th>bm02_TS</th>\n",
       "      <th>bm03_TS</th>\n",
       "      <th>bm04_TS</th>\n",
       "      <th>bm05_TS</th>\n",
       "      <th>bm06_TS</th>\n",
       "      <th>0/noUV</th>\n",
       "      <th>30min/noUV</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gene</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>thrA</th>\n",
       "      <td>103.342979</td>\n",
       "      <td>211.869456</td>\n",
       "      <td>141.699403</td>\n",
       "      <td>119.788915</td>\n",
       "      <td>107.848927</td>\n",
       "      <td>83.583041</td>\n",
       "      <td>2.050158</td>\n",
       "      <td>0.808793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thrB</th>\n",
       "      <td>100.896991</td>\n",
       "      <td>194.602428</td>\n",
       "      <td>133.841297</td>\n",
       "      <td>132.584450</td>\n",
       "      <td>96.352341</td>\n",
       "      <td>87.514728</td>\n",
       "      <td>1.928724</td>\n",
       "      <td>0.867367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thrC</th>\n",
       "      <td>83.765183</td>\n",
       "      <td>178.995929</td>\n",
       "      <td>121.063568</td>\n",
       "      <td>106.709308</td>\n",
       "      <td>96.352341</td>\n",
       "      <td>92.474357</td>\n",
       "      <td>2.136877</td>\n",
       "      <td>1.103971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yaaX</th>\n",
       "      <td>95.393519</td>\n",
       "      <td>107.116156</td>\n",
       "      <td>105.450719</td>\n",
       "      <td>90.835196</td>\n",
       "      <td>61.315126</td>\n",
       "      <td>67.347486</td>\n",
       "      <td>1.122887</td>\n",
       "      <td>0.705996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yaaA</th>\n",
       "      <td>103.212660</td>\n",
       "      <td>194.296518</td>\n",
       "      <td>161.633479</td>\n",
       "      <td>98.280704</td>\n",
       "      <td>91.613702</td>\n",
       "      <td>95.422082</td>\n",
       "      <td>1.882487</td>\n",
       "      <td>0.924519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>creC</th>\n",
       "      <td>85.340594</td>\n",
       "      <td>175.062487</td>\n",
       "      <td>141.506892</td>\n",
       "      <td>145.242670</td>\n",
       "      <td>97.345664</td>\n",
       "      <td>92.739175</td>\n",
       "      <td>2.051339</td>\n",
       "      <td>1.086695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>creD</th>\n",
       "      <td>86.849202</td>\n",
       "      <td>234.806844</td>\n",
       "      <td>181.490012</td>\n",
       "      <td>167.210913</td>\n",
       "      <td>123.881582</td>\n",
       "      <td>105.831764</td>\n",
       "      <td>2.703615</td>\n",
       "      <td>1.218569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arcA</th>\n",
       "      <td>66.068845</td>\n",
       "      <td>127.069165</td>\n",
       "      <td>62.831053</td>\n",
       "      <td>61.616542</td>\n",
       "      <td>61.023149</td>\n",
       "      <td>65.262921</td>\n",
       "      <td>1.923284</td>\n",
       "      <td>0.987802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yjjY</th>\n",
       "      <td>149.904101</td>\n",
       "      <td>247.537335</td>\n",
       "      <td>214.039852</td>\n",
       "      <td>206.974483</td>\n",
       "      <td>110.116961</td>\n",
       "      <td>196.544705</td>\n",
       "      <td>1.651305</td>\n",
       "      <td>1.311136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yjtD</th>\n",
       "      <td>105.381302</td>\n",
       "      <td>165.278775</td>\n",
       "      <td>158.007086</td>\n",
       "      <td>144.113533</td>\n",
       "      <td>113.028708</td>\n",
       "      <td>73.268144</td>\n",
       "      <td>1.568388</td>\n",
       "      <td>0.695267</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4166 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         bm01_TS     bm02_TS     bm03_TS     bm04_TS     bm05_TS     bm06_TS  \\\n",
       "gene                                                                           \n",
       "thrA  103.342979  211.869456  141.699403  119.788915  107.848927   83.583041   \n",
       "thrB  100.896991  194.602428  133.841297  132.584450   96.352341   87.514728   \n",
       "thrC   83.765183  178.995929  121.063568  106.709308   96.352341   92.474357   \n",
       "yaaX   95.393519  107.116156  105.450719   90.835196   61.315126   67.347486   \n",
       "yaaA  103.212660  194.296518  161.633479   98.280704   91.613702   95.422082   \n",
       "...          ...         ...         ...         ...         ...         ...   \n",
       "creC   85.340594  175.062487  141.506892  145.242670   97.345664   92.739175   \n",
       "creD   86.849202  234.806844  181.490012  167.210913  123.881582  105.831764   \n",
       "arcA   66.068845  127.069165   62.831053   61.616542   61.023149   65.262921   \n",
       "yjjY  149.904101  247.537335  214.039852  206.974483  110.116961  196.544705   \n",
       "yjtD  105.381302  165.278775  158.007086  144.113533  113.028708   73.268144   \n",
       "\n",
       "        0/noUV  30min/noUV  \n",
       "gene                        \n",
       "thrA  2.050158    0.808793  \n",
       "thrB  1.928724    0.867367  \n",
       "thrC  2.136877    1.103971  \n",
       "yaaX  1.122887    0.705996  \n",
       "yaaA  1.882487    0.924519  \n",
       "...        ...         ...  \n",
       "creC  2.051339    1.086695  \n",
       "creD  2.703615    1.218569  \n",
       "arcA  1.923284    0.987802  \n",
       "yjjY  1.651305    1.311136  \n",
       "yjtD  1.568388    0.695267  \n",
       "\n",
       "[4166 rows x 8 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WT_TS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d43c140f",
   "metadata": {},
   "outputs": [],
   "source": [
    "x1=WT_TS['0/noUV'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "68afcc83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 252x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax= plt.subplots(figsize=(3.5,4))\n",
    "ax.hist(x1,bins=35,edgecolor='k',color='grey',alpha=0.4)\n",
    "plt.axvline(x=1.5,linestyle='dashed',c='red')\n",
    "#ax.hist(x2,bins=35,edgecolor='k',color='orange',alpha=0.6)\n",
    "ax.set_xlim(0,8)\n",
    "ax.set_xlabel('0-min/No UV FC',fontsize=14)\n",
    "ax.set_ylabel('Frequency',fontsize=14)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.title(\"TS\",fontsize=14)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "\n",
    "#plt.savefig(\"1.5_threshold_TS.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9bffe658",
   "metadata": {},
   "outputs": [],
   "source": [
    "x2=WT_NTS['0/noUV'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d69a2e34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 252x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax= plt.subplots(figsize=(3.5,4))\n",
    "ax.hist(x2,bins=25,edgecolor='k',color='grey',alpha=0.4)\n",
    "plt.axvline(x=1.5,linestyle='dashed',c='red')\n",
    "#ax.hist(x2,bins=35,edgecolor='k',color='orange',alpha=0.6)\n",
    "ax.set_xlim(0,8)\n",
    "ax.set_xlabel('0-min/No UV FC',fontsize=14)\n",
    "ax.set_ylabel('Frequency',fontsize=14)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.title(\"NTS\",fontsize=14)\n",
    "for label in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
    "    label.set_fontsize(12)\n",
    "#plt.savefig(\"1.5_threshold_NTS.png\",bbox_inches='tight',transparent=True,dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "767b8853",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}