ExploratoryDataAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import confusion_matrix \n",
    "from sklearn.metrics import accuracy_score \n",
    "from sklearn.metrics import classification_report \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Marraige Status (Yrs)    1\n",
       "Fast food (Y/N)          1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/data without infertility _final.csv\")\n",
    "\n",
    "del df[\"Unnamed: 42\"]\n",
    "del df['Sl. No']\n",
    "del df['Patient File No.']\n",
    "\n",
    "null_columns=df.columns[df.isnull().any()]\n",
    "df[null_columns].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Marraige Status (Yrs)  Fast food (Y/N)\n",
      "156                    5.0              NaN\n",
      "458                    NaN              0.0\n"
     ]
    }
   ],
   "source": [
    "print(df[df.isnull().any(axis=1)][null_columns])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a\n"
     ]
    }
   ],
   "source": [
    "df = df.dropna()\n",
    "df.drop(df.index[305])\n",
    "print(max(df['AMH(ng/mL)']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [Marraige Status (Yrs), Fast food (Y/N)]\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "print(df[df.isnull().any(axis=1)][null_columns])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x28008 with 39 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# del df['AMH(ng/mL)']\n",
    "l = df.columns.values\n",
    "\n",
    "number_of_columns = 10\n",
    "number_of_rows = len(l)-1/number_of_columns\n",
    "plt.figure(figsize=(2*number_of_columns,10*number_of_rows))\n",
    "for i in range(0,len(l)):\n",
    "    plt.subplot(number_of_rows + 1,number_of_columns,i+1)\n",
    "    sns.set_style('whitegrid')\n",
    "    sns.boxplot(df[l[i]],color='blue',orient='v')\n",
    "    plt.tight_layout()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'boxes': [<matplotlib.lines.Line2D at 0x7f42348f0588>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42347eac18>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42347f0518>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346f5dd8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346ff6d8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234705f98>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234712898>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423471e198>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234724a58>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234733358>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346b9c18>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346c6518>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346ccdd8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346da6d8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346dff98>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346ed7b8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346f3ef0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234682668>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423468ada0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234697518>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423469cc50>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346ac3c8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346b3b00>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234641278>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346479b0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234655128>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423465b860>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234663f98>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234671710>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345f9e48>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42346055c0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423460dcf8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423461b470>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234622ba8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234630320>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345b6a58>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345c41d0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345cb908>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345db080>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345e07b8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345e8ef0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234575668>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423457dda0>,\n",
       "  <matplotlib.lines.Line2D at 0x7f423458a518>,\n",
       "  <matplotlib.lines.Line2D at 0x7f4234592c50>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345a03c8>,\n",
       "  <matplotlib.lines.Line2D at 0x7f42345a6b00>,\n",
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     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1, ax1 = plt.subplots()\n",
    "ax1.set_title('Basic Plot')\n",
    "ax1.boxplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}