{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('bbbp_probab.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 1.,  0.,  0.,  1.,  0.,  0.,  1.,  1., 13.,  3.,  5.,  4.,  7.,\n",
       "         3., 22., 13., 14.,  4.,  5.,  3.]),\n",
       " array([0.50096005, 0.5194553 , 0.53795054, 0.55644578, 0.57494103,\n",
       "        0.59343627, 0.61193151, 0.63042676, 0.648922  , 0.66741725,\n",
       "        0.68591249, 0.70440773, 0.72290298, 0.74139822, 0.75989347,\n",
       "        0.77838871, 0.79688395, 0.8153792 , 0.83387444, 0.85236968,\n",
       "        0.87086493]),\n",
       " <BarContainer object of 20 artists>)"
      ]
     },
     "execution_count": 6,
     "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
}