data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1d9c6392",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d9884eff",
   "metadata": {},
   "outputs": [],
   "source": [
    "csv = np.loadtxt(\"./image_data/BSE_BET_DATA/labels.csv\", delimiter=\",\", dtype=str)\n",
    "\n",
    "yy = 0\n",
    "yn = 0\n",
    "ny = 0\n",
    "nn = 0\n",
    "\n",
    "for item in csv:\n",
    "    \n",
    "    if item[1] == 'Yes' and item[2] == 'Yes':\n",
    "        yy = yy + 1\n",
    "    \n",
    "    if item[1] == 'Yes' and item[2] == 'No':\n",
    "        yn = yn + 1\n",
    "        \n",
    "    if item[1] == 'No' and item[2] == 'Yes':\n",
    "        ny = ny + 1\n",
    "        \n",
    "    if item[1] == 'No' and item[2] == 'No':\n",
    "        nn = nn + 1\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "25a18a21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "yy:  0 \n",
      "yn:  713 \n",
      "ny:  1332 \n",
      "nn:  15\n"
     ]
    }
   ],
   "source": [
    "print(\"yy: \", yy, \"\\nyn: \", yn, \"\\nny: \", ny, \"\\nnn: \", nn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74c4fca0",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {csv[0][1]: yn, csv[0][2]: ny, \"Perfect\": nn}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "51c52b7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data.keys()\n",
    "y = list(data.values())\n",
    "\n",
    "\n",
    "#fig, = plt.subplots(figsize = (10,5))\n",
    "plt.bar(x, [0,0, 125+15], color='pink', width=0.4, label=\"IXI Combined with NFBS\")\n",
    "plt.bar(x, y, color='orchid', width=0.4, label=\"IXI Dataset Only\")\n",
    "\n",
    "\n",
    "plt.xlabel('Scan Label')\n",
    "plt.ylabel('Number of Samples')\n",
    "plt.title('BSE_BET_IXI Dataset Summary')\n",
    "\n",
    "for i in range(len(x)):\n",
    "    plt.text(i, y[i]+ 10, y[i], color=\"gray\")\n",
    "\n",
    "plt.text(2, 150, 125+15, color=\"gray\")\n",
    "    \n",
    "plt.legend(loc=5)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37ef7f03",
   "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": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}