{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Split data into normal and abnormal fundus photo\n",
    "import pandas as pd\n",
    "\n",
    "label_df = pd.read_csv(\"RFMiD_Training_Labels.csv\")\n",
    "label_df.head()\n",
    "\n",
    "import  shutil\n",
    "\n",
    "for index,row in label_df.iterrows():\n",
    "    at_risk = row['Disease_Risk']\n",
    "    file = str(row[\"ID\"])+\".png\"\n",
    "    path = \"Training\"\n",
    "    file_path = path+\"/\"+file\n",
    "\n",
    "    if not at_risk:\n",
    "        shutil.copy(file_path, \"../normal/\")\n",
    "    else:\n",
    "        shutil.copy(file_path, \"../abnormal/\")"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}