{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('bbbp_fsr_probab.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 1.,  0.,  0.,  0.,  2.,  2.,  2.,  2.,  6.,  3., 10.,  5.,  7.,\n",
       "        12., 10., 12.,  4.,  8.,  8.,  6.]),\n",
       " array([0.53795552, 0.55553919, 0.57312285, 0.59070652, 0.60829018,\n",
       "        0.62587385, 0.64345751, 0.66104118, 0.67862484, 0.69620851,\n",
       "        0.71379218, 0.73137584, 0.74895951, 0.76654317, 0.78412684,\n",
       "        0.8017105 , 0.81929417, 0.83687783, 0.8544615 , 0.87204516,\n",
       "        0.88962883]),\n",
       " <BarContainer object of 20 artists>)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.title('Probability Distribution of BBBP')\n",
    "plt.hist(df.Probability, bins = 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "myenv",
   "language": "python",
   "name": "myenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}