dataWranglingWithPandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Wrangling in Pandas\n",
    " ![text_here](images/img_one.jpg)  \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.max_columns =None\n",
    "pd.options.display.max_rows =40\n",
    "\n",
    "\n",
    "filename = 'data/breast_cancer_data.csv'\n",
    "    \n",
    "df = pd.read_csv(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>699 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class doctor_name  \n",
       "0                1.0        1     benign     Dr. Doe  \n",
       "1                2.0        1     benign   Dr. Smith  \n",
       "2                1.0        1     benign     Dr. Lee  \n",
       "3                7.0        1     benign   Dr. Smith  \n",
       "4                1.0        1     benign    Dr. Wong  \n",
       "5                7.0        1  malignant   Dr. Smith  \n",
       "6                1.0        1     benign     Dr. Doe  \n",
       "7                1.0        1     benign   Dr. Smith  \n",
       "8                1.0        5     benign   Dr. Smith  \n",
       "9                1.0        1     benign     Dr. Doe  \n",
       "10               1.0        1     benign     Dr. Doe  \n",
       "11               1.0        1     benign   Dr. Smith  \n",
       "12               4.0        1  malignant   Dr. Smith  \n",
       "13               1.0        1     benign    Dr. Wong  \n",
       "14               5.0        4  malignant     Dr. Doe  \n",
       "15               3.0        1  malignant     Dr. Lee  \n",
       "16               1.0        1     benign     Dr. Lee  \n",
       "17               1.0        1     benign   Dr. Smith  \n",
       "18               1.0        2  malignant   Dr. Smith  \n",
       "19               1.0        1     benign    Dr. Wong  \n",
       "..               ...      ...        ...         ...  \n",
       "679              1.0        1     benign     Dr. Doe  \n",
       "680             10.0        7  malignant     Dr. Lee  \n",
       "681              6.0        3  malignant    Dr. Wong  \n",
       "682              2.0        1     benign    Dr. Wong  \n",
       "683              1.0        1     benign     Dr. Lee  \n",
       "684              1.0        1     benign    Dr. Wong  \n",
       "685              1.0        1     benign     Dr. Doe  \n",
       "686              1.0        1     benign     Dr. Doe  \n",
       "687              3.0        1     benign     Dr. Lee  \n",
       "688              1.0        1     benign   Dr. Smith  \n",
       "689              1.0        8     benign     Dr. Lee  \n",
       "690              1.0        1     benign     Dr. Doe  \n",
       "691              4.0        1  malignant    Dr. Wong  \n",
       "692              1.0        1     benign    Dr. Wong  \n",
       "693              1.0        2     benign     Dr. Lee  \n",
       "694              1.0        1     benign     Dr. Lee  \n",
       "695              1.0        1     benign   Dr. Smith  \n",
       "696             10.0        2  malignant     Dr. Lee  \n",
       "697              6.0        1  malignant     Dr. Lee  \n",
       "698              4.0        1  malignant    Dr. Wong  \n",
       "\n",
       "[699 rows x 12 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#start of by actually looking at your data set\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(699, 12)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What is the size of our dataset?\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patient_id                 int64\n",
       "clump_thickness          float64\n",
       "cell_size_uniformity     float64\n",
       "cell_shape_uniformity      int64\n",
       "marginal_adhesion          int64\n",
       "single_ep_cell_size        int64\n",
       "bare_nuclei               object\n",
       "bland_chromatin          float64\n",
       "normal_nucleoli          float64\n",
       "mitoses                    int64\n",
       "class                     object\n",
       "doctor_name               object\n",
       "dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Over here we see the columns names and their data types\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patient_id               645\n",
       "clump_thickness           10\n",
       "cell_size_uniformity      10\n",
       "cell_shape_uniformity     10\n",
       "marginal_adhesion         10\n",
       "single_ep_cell_size       10\n",
       "bare_nuclei               11\n",
       "bland_chromatin           10\n",
       "normal_nucleoli           10\n",
       "mitoses                    9\n",
       "class                      2\n",
       "doctor_name                4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Its good to inspect your unique key identifier\n",
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['patient_id', 'clump_thickness', 'cell_size_uniformity',\n",
       "       'cell_shape_uniformity', 'marginal_adhesion', 'single_ep_cell_size',\n",
       "       'bare_nuclei', 'bland_chromatin', 'normal_nucleoli', 'mitoses', 'class',\n",
       "       'doctor_name'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here we list all columns\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6.990000e+02</td>\n",
       "      <td>698.000000</td>\n",
       "      <td>698.000000</td>\n",
       "      <td>699.000000</td>\n",
       "      <td>699.000000</td>\n",
       "      <td>699.000000</td>\n",
       "      <td>695.000000</td>\n",
       "      <td>698.000000</td>\n",
       "      <td>699.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.071704e+06</td>\n",
       "      <td>4.416905</td>\n",
       "      <td>3.137536</td>\n",
       "      <td>3.207439</td>\n",
       "      <td>2.793991</td>\n",
       "      <td>3.216023</td>\n",
       "      <td>3.447482</td>\n",
       "      <td>2.868195</td>\n",
       "      <td>1.589413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.170957e+05</td>\n",
       "      <td>2.817673</td>\n",
       "      <td>3.052575</td>\n",
       "      <td>2.971913</td>\n",
       "      <td>2.843163</td>\n",
       "      <td>2.214300</td>\n",
       "      <td>2.441191</td>\n",
       "      <td>3.055647</td>\n",
       "      <td>1.715078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.163400e+04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.706885e+05</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.171710e+06</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.238298e+06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.345435e+07</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         patient_id  clump_thickness  cell_size_uniformity  \\\n",
       "count  6.990000e+02       698.000000            698.000000   \n",
       "mean   1.071704e+06         4.416905              3.137536   \n",
       "std    6.170957e+05         2.817673              3.052575   \n",
       "min    6.163400e+04         1.000000              1.000000   \n",
       "25%    8.706885e+05         2.000000              1.000000   \n",
       "50%    1.171710e+06         4.000000              1.000000   \n",
       "75%    1.238298e+06         6.000000              5.000000   \n",
       "max    1.345435e+07        10.000000             10.000000   \n",
       "\n",
       "       cell_shape_uniformity  marginal_adhesion  single_ep_cell_size  \\\n",
       "count             699.000000         699.000000           699.000000   \n",
       "mean                3.207439           2.793991             3.216023   \n",
       "std                 2.971913           2.843163             2.214300   \n",
       "min                 1.000000           1.000000             1.000000   \n",
       "25%                 1.000000           1.000000             2.000000   \n",
       "50%                 1.000000           1.000000             2.000000   \n",
       "75%                 5.000000           3.500000             4.000000   \n",
       "max                10.000000          10.000000            10.000000   \n",
       "\n",
       "       bland_chromatin  normal_nucleoli     mitoses  \n",
       "count       695.000000       698.000000  699.000000  \n",
       "mean          3.447482         2.868195    1.589413  \n",
       "std           2.441191         3.055647    1.715078  \n",
       "min           1.000000         1.000000    1.000000  \n",
       "25%           2.000000         1.000000    1.000000  \n",
       "50%           3.000000         1.000000    1.000000  \n",
       "75%           5.000000         4.000000    1.000000  \n",
       "max          10.000000        10.000000   10.000000  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This provides some statistics on the numerical data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class      doctor_name\n",
       "benign     Dr. Doe        127\n",
       "           Dr. Lee        121\n",
       "           Dr. Smith      102\n",
       "           Dr. Wong       108\n",
       "malignant  Dr. Doe         58\n",
       "           Dr. Lee         60\n",
       "           Dr. Smith       74\n",
       "           Dr. Wong        49\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This aggreates the data by its column names, then we pass the aggregation function (size = count)\n",
    "df.groupby(by =['class', 'doctor_name']).size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preproccessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patient_id               0\n",
       "clump_thickness          1\n",
       "cell_size_uniformity     1\n",
       "cell_shape_uniformity    0\n",
       "marginal_adhesion        0\n",
       "single_ep_cell_size      0\n",
       "bare_nuclei              2\n",
       "bland_chromatin          4\n",
       "normal_nucleoli          1\n",
       "mitoses                  0\n",
       "class                    0\n",
       "doctor_name              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dealing with missing values? How many np.nan per column?\n",
    "\n",
    "df.isna().sum() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # fill with zero\n",
    "# df = df.fillna(0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>699 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class doctor_name  \n",
       "0                1.0        1     benign     Dr. Doe  \n",
       "1                2.0        1     benign   Dr. Smith  \n",
       "2                1.0        1     benign     Dr. Lee  \n",
       "3                7.0        1     benign   Dr. Smith  \n",
       "4                1.0        1     benign    Dr. Wong  \n",
       "5                7.0        1  malignant   Dr. Smith  \n",
       "6                1.0        1     benign     Dr. Doe  \n",
       "7                1.0        1     benign   Dr. Smith  \n",
       "8                1.0        5     benign   Dr. Smith  \n",
       "9                1.0        1     benign     Dr. Doe  \n",
       "10               1.0        1     benign     Dr. Doe  \n",
       "11               1.0        1     benign   Dr. Smith  \n",
       "12               4.0        1  malignant   Dr. Smith  \n",
       "13               1.0        1     benign    Dr. Wong  \n",
       "14               5.0        4  malignant     Dr. Doe  \n",
       "15               3.0        1  malignant     Dr. Lee  \n",
       "16               1.0        1     benign     Dr. Lee  \n",
       "17               1.0        1     benign   Dr. Smith  \n",
       "18               1.0        2  malignant   Dr. Smith  \n",
       "19               1.0        1     benign    Dr. Wong  \n",
       "..               ...      ...        ...         ...  \n",
       "679              1.0        1     benign     Dr. Doe  \n",
       "680             10.0        7  malignant     Dr. Lee  \n",
       "681              6.0        3  malignant    Dr. Wong  \n",
       "682              2.0        1     benign    Dr. Wong  \n",
       "683              1.0        1     benign     Dr. Lee  \n",
       "684              1.0        1     benign    Dr. Wong  \n",
       "685              1.0        1     benign     Dr. Doe  \n",
       "686              1.0        1     benign     Dr. Doe  \n",
       "687              3.0        1     benign     Dr. Lee  \n",
       "688              1.0        1     benign   Dr. Smith  \n",
       "689              1.0        8     benign     Dr. Lee  \n",
       "690              1.0        1     benign     Dr. Doe  \n",
       "691              4.0        1  malignant    Dr. Wong  \n",
       "692              1.0        1     benign    Dr. Wong  \n",
       "693              1.0        2     benign     Dr. Lee  \n",
       "694              1.0        1     benign     Dr. Lee  \n",
       "695              1.0        1     benign   Dr. Smith  \n",
       "696             10.0        2  malignant     Dr. Lee  \n",
       "697              6.0        1  malignant     Dr. Lee  \n",
       "698              4.0        1  malignant    Dr. Wong  \n",
       "\n",
       "[699 rows x 12 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.dropna(axis = 1, how = 'all')  #drop rows with any column having np.nan values\n",
    "\n",
    "#Rename columns\n",
    "df.rename(index =str, columns = {'patient_id':'patient_id'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patient_id               645\n",
       "clump_thickness           10\n",
       "cell_size_uniformity      10\n",
       "cell_shape_uniformity     10\n",
       "marginal_adhesion         10\n",
       "single_ep_cell_size       10\n",
       "bare_nuclei               11\n",
       "bland_chromatin           10\n",
       "normal_nucleoli           10\n",
       "mitoses                    9\n",
       "class                      2\n",
       "doctor_name                4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Its good to inspect unique key identifiers\n",
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>1198641</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "168     1198641              3.0                   1.0                      1   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "168                  1                    2           1              3.0   \n",
       "\n",
       "     normal_nucleoli  mitoses   class doctor_name  \n",
       "168              1.0        1  benign     Dr. Lee  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This shows rows that show up more than once and have the exact same column values. \n",
    "df[df.duplicated(keep = 'last')]\n",
    "\n",
    "# # This shows all instances where pantient_id shows up more than once, but may have varying column values\n",
    "# df[df.duplicated(subset = 'patient_id', keep =False)].sort_values('patient_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now that I have seen that there are some duplicates, I am going to go ahead and remove any duplicate rows\n",
    "#, same things that occours twice\n",
    "\n",
    "df = df.drop_duplicates(subset = None, keep ='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patient_id\n",
       "1182404    6\n",
       "1276091    5\n",
       "1105524    2\n",
       "1299596    2\n",
       "385103     2\n",
       "734111     2\n",
       "411453     2\n",
       "1143978    2\n",
       "1218860    2\n",
       "822829     2\n",
       "1240603    2\n",
       "1070935    2\n",
       "466906     2\n",
       "1299924    2\n",
       "1238777    2\n",
       "1321942    2\n",
       "1114570    2\n",
       "798429     2\n",
       "493452     2\n",
       "1115293    2\n",
       "          ..\n",
       "1206841    1\n",
       "1207986    1\n",
       "1208301    1\n",
       "1210963    1\n",
       "1217051    1\n",
       "1216947    1\n",
       "1216694    1\n",
       "1214966    1\n",
       "1214556    1\n",
       "1214092    1\n",
       "1213784    1\n",
       "1213383    1\n",
       "1213375    1\n",
       "1213273    1\n",
       "1212251    1\n",
       "1212232    1\n",
       "1211594    1\n",
       "1211265    1\n",
       "1211202    1\n",
       "61634      1\n",
       "Length: 645, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "repeat_patients = df.groupby(by = 'patient_id').size().sort_values(ascending =False)\n",
    "repeat_patients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "# How to reverse conditionality?\n",
    "print(1==1)\n",
    "print(~1==1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>687 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class doctor_name  \n",
       "0                1.0        1     benign     Dr. Doe  \n",
       "1                2.0        1     benign   Dr. Smith  \n",
       "2                1.0        1     benign     Dr. Lee  \n",
       "3                7.0        1     benign   Dr. Smith  \n",
       "4                1.0        1     benign    Dr. Wong  \n",
       "5                7.0        1  malignant   Dr. Smith  \n",
       "6                1.0        1     benign     Dr. Doe  \n",
       "7                1.0        1     benign   Dr. Smith  \n",
       "8                1.0        5     benign   Dr. Smith  \n",
       "9                1.0        1     benign     Dr. Doe  \n",
       "10               1.0        1     benign     Dr. Doe  \n",
       "11               1.0        1     benign   Dr. Smith  \n",
       "12               4.0        1  malignant   Dr. Smith  \n",
       "13               1.0        1     benign    Dr. Wong  \n",
       "14               5.0        4  malignant     Dr. Doe  \n",
       "15               3.0        1  malignant     Dr. Lee  \n",
       "16               1.0        1     benign     Dr. Lee  \n",
       "17               1.0        1     benign   Dr. Smith  \n",
       "18               1.0        2  malignant   Dr. Smith  \n",
       "19               1.0        1     benign    Dr. Wong  \n",
       "..               ...      ...        ...         ...  \n",
       "679              1.0        1     benign     Dr. Doe  \n",
       "680             10.0        7  malignant     Dr. Lee  \n",
       "681              6.0        3  malignant    Dr. Wong  \n",
       "682              2.0        1     benign    Dr. Wong  \n",
       "683              1.0        1     benign     Dr. Lee  \n",
       "684              1.0        1     benign    Dr. Wong  \n",
       "685              1.0        1     benign     Dr. Doe  \n",
       "686              1.0        1     benign     Dr. Doe  \n",
       "687              3.0        1     benign     Dr. Lee  \n",
       "688              1.0        1     benign   Dr. Smith  \n",
       "689              1.0        8     benign     Dr. Lee  \n",
       "690              1.0        1     benign     Dr. Doe  \n",
       "691              4.0        1  malignant    Dr. Wong  \n",
       "692              1.0        1     benign    Dr. Wong  \n",
       "693              1.0        2     benign     Dr. Lee  \n",
       "694              1.0        1     benign     Dr. Lee  \n",
       "695              1.0        1     benign   Dr. Smith  \n",
       "696             10.0        2  malignant     Dr. Lee  \n",
       "697              6.0        1  malignant     Dr. Lee  \n",
       "698              4.0        1  malignant    Dr. Wong  \n",
       "\n",
       "[687 rows x 12 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_patients = repeat_patients[repeat_patients > 2].to_frame().reset_index()\n",
    "filtered_df = df[~df.patient_id.isin(filtered_patients.patient_id)]\n",
    "filtered_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>1182404</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>1276091</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>1182404</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>1182404</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>1182404</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>1276091</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>1276091</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>1276091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>1182404</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>1276091</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>1182404</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "136     1182404              4.0                   1.0                      1   \n",
       "241     1276091              3.0                   1.0                      1   \n",
       "256     1182404              3.0                   1.0                      1   \n",
       "257     1182404              3.0                   1.0                      1   \n",
       "265     1182404              5.0                   1.0                      4   \n",
       "429     1276091              2.0                   1.0                      1   \n",
       "430     1276091              1.0                   3.0                      1   \n",
       "431     1276091              5.0                   1.0                      1   \n",
       "448     1182404              1.0                   1.0                      1   \n",
       "462     1276091              6.0                   1.0                      1   \n",
       "497     1182404              4.0                   2.0                      1   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "136                  1                    2           1              2.0   \n",
       "241                  3                    1           1              3.0   \n",
       "256                  1                    2           1              1.0   \n",
       "257                  1                    2           1              2.0   \n",
       "265                  1                    2           1              3.0   \n",
       "429                  1                    2           1              2.0   \n",
       "430                  1                    2           1              2.0   \n",
       "431                  3                    4           1              3.0   \n",
       "448                  1                    1           1              1.0   \n",
       "462                  3                    2           1              1.0   \n",
       "497                  1                    2           1              1.0   \n",
       "\n",
       "     normal_nucleoli  mitoses   class doctor_name  \n",
       "136              1.0        1  benign     Dr. Lee  \n",
       "241              1.0        1  benign    Dr. Wong  \n",
       "256              1.0        1  benign    Dr. Wong  \n",
       "257              1.0        1  benign     Dr. Doe  \n",
       "265              2.0        1  benign     Dr. Lee  \n",
       "429              1.0        1  benign     Dr. Doe  \n",
       "430              2.0        1  benign    Dr. Wong  \n",
       "431              2.0        1  benign    Dr. Wong  \n",
       "448              1.0        1  benign     Dr. Lee  \n",
       "462              1.0        1  benign     Dr. Lee  \n",
       "497              1.0        1  benign    Dr. Wong  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is all the repeating patients details\n",
    "\n",
    "df[df.patient_id.isin(filtered_patients.patient_id)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">cell_size_uniformity</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>benign</th>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.289474</td>\n",
       "      <td>457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malignant</th>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.863071</td>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          cell_size_uniformity       normal_nucleoli class\n",
       "                           min   max            mean count\n",
       "class                                                     \n",
       "benign                     1.0   9.0        1.289474   457\n",
       "malignant                  1.0  10.0        5.863071   241"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How to view the data by aggeregting on more than one column\n",
    "\n",
    "df.groupby('class').agg({'cell_size_uniformity': ['min', 'max'], 'normal_nucleoli': 'mean', 'class': 'count'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One Hot Encoding Catergorical Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_df = df[['patient_id', 'doctor_name']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexing.py:357: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self.obj[key] = _infer_fill_value(value)\n",
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexing.py:537: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self.obj[item] = s\n"
     ]
    }
   ],
   "source": [
    "# This specifies all rows (':') and column name 'doctor_count'\n",
    "categorical_df.loc[:,'doctor_count'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>doctor_name</th>\n",
       "      <th>doctor_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id doctor_name  doctor_count\n",
       "0       1000025     Dr. Doe             1\n",
       "1       1002945   Dr. Smith             1\n",
       "2       1015425     Dr. Lee             1\n",
       "3       1016277   Dr. Smith             1\n",
       "4       1017023    Dr. Wong             1\n",
       "5       1017122   Dr. Smith             1\n",
       "6       1018099     Dr. Doe             1\n",
       "7       1018561   Dr. Smith             1\n",
       "8       1033078   Dr. Smith             1\n",
       "9       1033078     Dr. Doe             1\n",
       "10      1035283     Dr. Doe             1\n",
       "11      1036172   Dr. Smith             1\n",
       "12      1041801   Dr. Smith             1\n",
       "13      1043999    Dr. Wong             1\n",
       "14      1044572     Dr. Doe             1\n",
       "15      1047630     Dr. Lee             1\n",
       "16      1048672     Dr. Lee             1\n",
       "17      1049815   Dr. Smith             1\n",
       "18      1050670   Dr. Smith             1\n",
       "19      1050718    Dr. Wong             1\n",
       "..          ...         ...           ...\n",
       "679     1368882     Dr. Doe             1\n",
       "680     1369821     Dr. Lee             1\n",
       "681     1371026    Dr. Wong             1\n",
       "682     1371920    Dr. Wong             1\n",
       "683      466906     Dr. Lee             1\n",
       "684      466906    Dr. Wong             1\n",
       "685      534555     Dr. Doe             1\n",
       "686      536708     Dr. Doe             1\n",
       "687      566346     Dr. Lee             1\n",
       "688      603148   Dr. Smith             1\n",
       "689      654546     Dr. Lee             1\n",
       "690      654546     Dr. Doe             1\n",
       "691      695091    Dr. Wong             1\n",
       "692      714039    Dr. Wong             1\n",
       "693      763235     Dr. Lee             1\n",
       "694      776715     Dr. Lee             1\n",
       "695      841769   Dr. Smith             1\n",
       "696      888820     Dr. Lee             1\n",
       "697      897471     Dr. Lee             1\n",
       "698      897471    Dr. Wong             1\n",
       "\n",
       "[698 rows x 3 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "doctors_one_hot_encoded  = pd.pivot_table(categorical_df\n",
    "                                  ,index = categorical_df.index, \n",
    "                                  columns = ['doctor_name'], values = ['doctor_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">doctor_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            doctor_count                           \n",
       "doctor_name      Dr. Doe Dr. Lee Dr. Smith Dr. Wong\n",
       "0                    1.0     0.0       0.0      0.0\n",
       "1                    0.0     0.0       1.0      0.0\n",
       "2                    0.0     1.0       0.0      0.0\n",
       "3                    0.0     0.0       1.0      0.0\n",
       "4                    0.0     0.0       0.0      1.0\n",
       "5                    0.0     0.0       1.0      0.0\n",
       "6                    1.0     0.0       0.0      0.0\n",
       "7                    0.0     0.0       1.0      0.0\n",
       "8                    0.0     0.0       1.0      0.0\n",
       "9                    1.0     0.0       0.0      0.0\n",
       "10                   1.0     0.0       0.0      0.0\n",
       "11                   0.0     0.0       1.0      0.0\n",
       "12                   0.0     0.0       1.0      0.0\n",
       "13                   0.0     0.0       0.0      1.0\n",
       "14                   1.0     0.0       0.0      0.0\n",
       "15                   0.0     1.0       0.0      0.0\n",
       "16                   0.0     1.0       0.0      0.0\n",
       "17                   0.0     0.0       1.0      0.0\n",
       "18                   0.0     0.0       1.0      0.0\n",
       "19                   0.0     0.0       0.0      1.0\n",
       "..                   ...     ...       ...      ...\n",
       "679                  1.0     0.0       0.0      0.0\n",
       "680                  0.0     1.0       0.0      0.0\n",
       "681                  0.0     0.0       0.0      1.0\n",
       "682                  0.0     0.0       0.0      1.0\n",
       "683                  0.0     1.0       0.0      0.0\n",
       "684                  0.0     0.0       0.0      1.0\n",
       "685                  1.0     0.0       0.0      0.0\n",
       "686                  1.0     0.0       0.0      0.0\n",
       "687                  0.0     1.0       0.0      0.0\n",
       "688                  0.0     0.0       1.0      0.0\n",
       "689                  0.0     1.0       0.0      0.0\n",
       "690                  1.0     0.0       0.0      0.0\n",
       "691                  0.0     0.0       0.0      1.0\n",
       "692                  0.0     0.0       0.0      1.0\n",
       "693                  0.0     1.0       0.0      0.0\n",
       "694                  0.0     1.0       0.0      0.0\n",
       "695                  0.0     0.0       1.0      0.0\n",
       "696                  0.0     1.0       0.0      0.0\n",
       "697                  0.0     1.0       0.0      0.0\n",
       "698                  0.0     0.0       0.0      1.0\n",
       "\n",
       "[698 rows x 4 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doctors_one_hot_encoded = doctors_one_hot_encoded.fillna(0)\n",
    "doctors_one_hot_encoded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "doctor_name  Dr. Doe  Dr. Lee  Dr. Smith  Dr. Wong\n",
       "0                1.0      0.0        0.0       0.0\n",
       "1                0.0      0.0        1.0       0.0\n",
       "2                0.0      1.0        0.0       0.0\n",
       "3                0.0      0.0        1.0       0.0\n",
       "4                0.0      0.0        0.0       1.0\n",
       "5                0.0      0.0        1.0       0.0\n",
       "6                1.0      0.0        0.0       0.0\n",
       "7                0.0      0.0        1.0       0.0\n",
       "8                0.0      0.0        1.0       0.0\n",
       "9                1.0      0.0        0.0       0.0\n",
       "10               1.0      0.0        0.0       0.0\n",
       "11               0.0      0.0        1.0       0.0\n",
       "12               0.0      0.0        1.0       0.0\n",
       "13               0.0      0.0        0.0       1.0\n",
       "14               1.0      0.0        0.0       0.0\n",
       "15               0.0      1.0        0.0       0.0\n",
       "16               0.0      1.0        0.0       0.0\n",
       "17               0.0      0.0        1.0       0.0\n",
       "18               0.0      0.0        1.0       0.0\n",
       "19               0.0      0.0        0.0       1.0\n",
       "..               ...      ...        ...       ...\n",
       "679              1.0      0.0        0.0       0.0\n",
       "680              0.0      1.0        0.0       0.0\n",
       "681              0.0      0.0        0.0       1.0\n",
       "682              0.0      0.0        0.0       1.0\n",
       "683              0.0      1.0        0.0       0.0\n",
       "684              0.0      0.0        0.0       1.0\n",
       "685              1.0      0.0        0.0       0.0\n",
       "686              1.0      0.0        0.0       0.0\n",
       "687              0.0      1.0        0.0       0.0\n",
       "688              0.0      0.0        1.0       0.0\n",
       "689              0.0      1.0        0.0       0.0\n",
       "690              1.0      0.0        0.0       0.0\n",
       "691              0.0      0.0        0.0       1.0\n",
       "692              0.0      0.0        0.0       1.0\n",
       "693              0.0      1.0        0.0       0.0\n",
       "694              0.0      1.0        0.0       0.0\n",
       "695              0.0      0.0        1.0       0.0\n",
       "696              0.0      1.0        0.0       0.0\n",
       "697              0.0      1.0        0.0       0.0\n",
       "698              0.0      0.0        0.0       1.0\n",
       "\n",
       "[698 rows x 4 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doctors_one_hot_encoded.columns = doctors_one_hot_encoded.columns.droplevel()\n",
    "doctors_one_hot_encoded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class doctor_name  Dr. Doe  Dr. Lee  \\\n",
       "0                1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "1                2.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "2                1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "3                7.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "4                1.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "5                7.0        1  malignant   Dr. Smith      0.0      0.0   \n",
       "6                1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "7                1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "8                1.0        5     benign   Dr. Smith      0.0      0.0   \n",
       "9                1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "10               1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "11               1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "12               4.0        1  malignant   Dr. Smith      0.0      0.0   \n",
       "13               1.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "14               5.0        4  malignant     Dr. Doe      1.0      0.0   \n",
       "15               3.0        1  malignant     Dr. Lee      0.0      1.0   \n",
       "16               1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "17               1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "18               1.0        2  malignant   Dr. Smith      0.0      0.0   \n",
       "19               1.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "..               ...      ...        ...         ...      ...      ...   \n",
       "679              1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "680             10.0        7  malignant     Dr. Lee      0.0      1.0   \n",
       "681              6.0        3  malignant    Dr. Wong      0.0      0.0   \n",
       "682              2.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "683              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "684              1.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "685              1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "686              1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "687              3.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "688              1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "689              1.0        8     benign     Dr. Lee      0.0      1.0   \n",
       "690              1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "691              4.0        1  malignant    Dr. Wong      0.0      0.0   \n",
       "692              1.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "693              1.0        2     benign     Dr. Lee      0.0      1.0   \n",
       "694              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "695              1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "696             10.0        2  malignant     Dr. Lee      0.0      1.0   \n",
       "697              6.0        1  malignant     Dr. Lee      0.0      1.0   \n",
       "698              4.0        1  malignant    Dr. Wong      0.0      0.0   \n",
       "\n",
       "     Dr. Smith  Dr. Wong  \n",
       "0          0.0       0.0  \n",
       "1          1.0       0.0  \n",
       "2          0.0       0.0  \n",
       "3          1.0       0.0  \n",
       "4          0.0       1.0  \n",
       "5          1.0       0.0  \n",
       "6          0.0       0.0  \n",
       "7          1.0       0.0  \n",
       "8          1.0       0.0  \n",
       "9          0.0       0.0  \n",
       "10         0.0       0.0  \n",
       "11         1.0       0.0  \n",
       "12         1.0       0.0  \n",
       "13         0.0       1.0  \n",
       "14         0.0       0.0  \n",
       "15         0.0       0.0  \n",
       "16         0.0       0.0  \n",
       "17         1.0       0.0  \n",
       "18         1.0       0.0  \n",
       "19         0.0       1.0  \n",
       "..         ...       ...  \n",
       "679        0.0       0.0  \n",
       "680        0.0       0.0  \n",
       "681        0.0       1.0  \n",
       "682        0.0       1.0  \n",
       "683        0.0       0.0  \n",
       "684        0.0       1.0  \n",
       "685        0.0       0.0  \n",
       "686        0.0       0.0  \n",
       "687        0.0       0.0  \n",
       "688        1.0       0.0  \n",
       "689        0.0       0.0  \n",
       "690        0.0       0.0  \n",
       "691        0.0       1.0  \n",
       "692        0.0       1.0  \n",
       "693        0.0       0.0  \n",
       "694        0.0       0.0  \n",
       "695        1.0       0.0  \n",
       "696        0.0       0.0  \n",
       "697        0.0       0.0  \n",
       "698        0.0       1.0  \n",
       "\n",
       "[698 rows x 16 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df = pd.merge(df, doctors_one_hot_encoded, left_index = True,right_index =True, how ='left')\n",
    "combined_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making new columns and conducting elementise operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>1220330</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>1181356</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>1328331</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>1299161</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>521441</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>1183246</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>?</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>1235807</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>1257648</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>188336</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>625201</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "212     1220330              1.0                   1.0                      1   \n",
       "135     1181356              5.0                   1.0                      1   \n",
       "562     1328331              1.0                   1.0                      1   \n",
       "479     1299161              4.0                   8.0                      7   \n",
       "373      521441              5.0                   1.0                      1   \n",
       "139     1183246              1.0                   1.0                      1   \n",
       "631     1235807              5.0                   1.0                      1   \n",
       "422     1257648              4.0                   3.0                      3   \n",
       "604      188336              5.0                   3.0                      2   \n",
       "298      625201              8.0                   2.0                      1   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "212                  1                    2           1              3.0   \n",
       "135                  1                    2           2              3.0   \n",
       "562                  1                    2           1              3.0   \n",
       "479                 10                    4          10              7.0   \n",
       "373                  2                    2           1              2.0   \n",
       "139                  1                    1           ?              2.0   \n",
       "631                  1                    2           1              2.0   \n",
       "422                  1                    2           1              3.0   \n",
       "604                  8                    5          10              8.0   \n",
       "298                  1                    5           1              1.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class doctor_name  Dr. Doe  Dr. Lee  \\\n",
       "212              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "135              3.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "562              1.0        1     benign     Dr. Doe      1.0      0.0   \n",
       "479              5.0        1  malignant     Dr. Doe      1.0      0.0   \n",
       "373              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "139              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "631              1.0        1     benign     Dr. Lee      0.0      1.0   \n",
       "422              3.0        1     benign    Dr. Wong      0.0      0.0   \n",
       "604              1.0        2  malignant     Dr. Lee      0.0      1.0   \n",
       "298              1.0        1     benign   Dr. Smith      0.0      0.0   \n",
       "\n",
       "     Dr. Smith  Dr. Wong  \n",
       "212        0.0       0.0  \n",
       "135        0.0       1.0  \n",
       "562        0.0       0.0  \n",
       "479        0.0       0.0  \n",
       "373        0.0       0.0  \n",
       "139        0.0       0.0  \n",
       "631        0.0       0.0  \n",
       "422        0.0       1.0  \n",
       "604        0.0       0.0  \n",
       "298        1.0       0.0  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Randomly sampling 10 rows\n",
    "combined_df.sample(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>malignant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>benign</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>malignant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses      class  Dr. Doe  Dr. Lee  Dr. Smith  \\\n",
       "0                1.0        1     benign      1.0      0.0        0.0   \n",
       "1                2.0        1     benign      0.0      0.0        1.0   \n",
       "2                1.0        1     benign      0.0      1.0        0.0   \n",
       "3                7.0        1     benign      0.0      0.0        1.0   \n",
       "4                1.0        1     benign      0.0      0.0        0.0   \n",
       "5                7.0        1  malignant      0.0      0.0        1.0   \n",
       "6                1.0        1     benign      1.0      0.0        0.0   \n",
       "7                1.0        1     benign      0.0      0.0        1.0   \n",
       "8                1.0        5     benign      0.0      0.0        1.0   \n",
       "9                1.0        1     benign      1.0      0.0        0.0   \n",
       "10               1.0        1     benign      1.0      0.0        0.0   \n",
       "11               1.0        1     benign      0.0      0.0        1.0   \n",
       "12               4.0        1  malignant      0.0      0.0        1.0   \n",
       "13               1.0        1     benign      0.0      0.0        0.0   \n",
       "14               5.0        4  malignant      1.0      0.0        0.0   \n",
       "15               3.0        1  malignant      0.0      1.0        0.0   \n",
       "16               1.0        1     benign      0.0      1.0        0.0   \n",
       "17               1.0        1     benign      0.0      0.0        1.0   \n",
       "18               1.0        2  malignant      0.0      0.0        1.0   \n",
       "19               1.0        1     benign      0.0      0.0        0.0   \n",
       "..               ...      ...        ...      ...      ...        ...   \n",
       "679              1.0        1     benign      1.0      0.0        0.0   \n",
       "680             10.0        7  malignant      0.0      1.0        0.0   \n",
       "681              6.0        3  malignant      0.0      0.0        0.0   \n",
       "682              2.0        1     benign      0.0      0.0        0.0   \n",
       "683              1.0        1     benign      0.0      1.0        0.0   \n",
       "684              1.0        1     benign      0.0      0.0        0.0   \n",
       "685              1.0        1     benign      1.0      0.0        0.0   \n",
       "686              1.0        1     benign      1.0      0.0        0.0   \n",
       "687              3.0        1     benign      0.0      1.0        0.0   \n",
       "688              1.0        1     benign      0.0      0.0        1.0   \n",
       "689              1.0        8     benign      0.0      1.0        0.0   \n",
       "690              1.0        1     benign      1.0      0.0        0.0   \n",
       "691              4.0        1  malignant      0.0      0.0        0.0   \n",
       "692              1.0        1     benign      0.0      0.0        0.0   \n",
       "693              1.0        2     benign      0.0      1.0        0.0   \n",
       "694              1.0        1     benign      0.0      1.0        0.0   \n",
       "695              1.0        1     benign      0.0      0.0        1.0   \n",
       "696             10.0        2  malignant      0.0      1.0        0.0   \n",
       "697              6.0        1  malignant      0.0      1.0        0.0   \n",
       "698              4.0        1  malignant      0.0      0.0        0.0   \n",
       "\n",
       "     Dr. Wong  \n",
       "0         0.0  \n",
       "1         0.0  \n",
       "2         0.0  \n",
       "3         0.0  \n",
       "4         1.0  \n",
       "5         0.0  \n",
       "6         0.0  \n",
       "7         0.0  \n",
       "8         0.0  \n",
       "9         0.0  \n",
       "10        0.0  \n",
       "11        0.0  \n",
       "12        0.0  \n",
       "13        1.0  \n",
       "14        0.0  \n",
       "15        0.0  \n",
       "16        0.0  \n",
       "17        0.0  \n",
       "18        0.0  \n",
       "19        1.0  \n",
       "..        ...  \n",
       "679       0.0  \n",
       "680       0.0  \n",
       "681       1.0  \n",
       "682       1.0  \n",
       "683       0.0  \n",
       "684       1.0  \n",
       "685       0.0  \n",
       "686       0.0  \n",
       "687       0.0  \n",
       "688       0.0  \n",
       "689       0.0  \n",
       "690       0.0  \n",
       "691       1.0  \n",
       "692       1.0  \n",
       "693       0.0  \n",
       "694       0.0  \n",
       "695       0.0  \n",
       "696       0.0  \n",
       "697       0.0  \n",
       "698       1.0  \n",
       "\n",
       "[698 rows x 15 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df.drop(columns=['doctor_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'col_1'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-63-1fb770e6c306>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#Making a new column based on a nuemrical calcualtion of other columns in the df\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'new_col_name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcol_1\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mcol_2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   3612\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3613\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3614\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3615\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3616\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'col_1'"
     ]
    }
   ],
   "source": [
    "#Making a new column based on a nuemrical calcualtion of other columns in the df\n",
    "df['new_col_name'] = df.col_1*col_2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "0       1000025              5.0                   1.0                      1   \n",
       "1       1002945              5.0                   4.0                      4   \n",
       "2       1015425              3.0                   1.0                      1   \n",
       "3       1016277              6.0                   8.0                      8   \n",
       "4       1017023              4.0                   1.0                      1   \n",
       "5       1017122              8.0                  10.0                     10   \n",
       "6       1018099              1.0                   NaN                      1   \n",
       "7       1018561              2.0                   1.0                      2   \n",
       "8       1033078              2.0                   1.0                      1   \n",
       "9       1033078              4.0                   2.0                      1   \n",
       "10      1035283              1.0                   1.0                      1   \n",
       "11      1036172              2.0                   1.0                      1   \n",
       "12      1041801              NaN                   3.0                      3   \n",
       "13      1043999              1.0                   1.0                      1   \n",
       "14      1044572              8.0                   7.0                      5   \n",
       "15      1047630              7.0                   4.0                      6   \n",
       "16      1048672              4.0                   1.0                      1   \n",
       "17      1049815              4.0                   1.0                      1   \n",
       "18      1050670             10.0                   7.0                      7   \n",
       "19      1050718              6.0                   1.0                      1   \n",
       "..          ...              ...                   ...                    ...   \n",
       "679     1368882              2.0                   1.0                      1   \n",
       "680     1369821             10.0                  10.0                     10   \n",
       "681     1371026              5.0                  10.0                     10   \n",
       "682     1371920              5.0                   1.0                      1   \n",
       "683      466906              1.0                   1.0                      1   \n",
       "684      466906              1.0                   1.0                      1   \n",
       "685      534555              1.0                   1.0                      1   \n",
       "686      536708              1.0                   1.0                      1   \n",
       "687      566346              3.0                   1.0                      1   \n",
       "688      603148              4.0                   1.0                      1   \n",
       "689      654546              1.0                   1.0                      1   \n",
       "690      654546              1.0                   1.0                      1   \n",
       "691      695091              5.0                  10.0                     10   \n",
       "692      714039              3.0                   1.0                      1   \n",
       "693      763235              3.0                   1.0                      1   \n",
       "694      776715              3.0                   1.0                      1   \n",
       "695      841769              2.0                   1.0                      1   \n",
       "696      888820              5.0                  10.0                     10   \n",
       "697      897471              4.0                   8.0                      6   \n",
       "698      897471              4.0                   8.0                      8   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "0                    1                    2           1              3.0   \n",
       "1                    5                    7          10              3.0   \n",
       "2                    1                    2           2              3.0   \n",
       "3                    1                    3           4              3.0   \n",
       "4                    3                    2           1              3.0   \n",
       "5                    8                    7          10              9.0   \n",
       "6                    1                    2          10              3.0   \n",
       "7                    1                    2           1              3.0   \n",
       "8                    1                    2           1              1.0   \n",
       "9                    1                    2           1              2.0   \n",
       "10                   1                    1           1              3.0   \n",
       "11                   1                    2           1              2.0   \n",
       "12                   3                    2           3              4.0   \n",
       "13                   1                    2           3              3.0   \n",
       "14                   1                    7           9              5.0   \n",
       "15                   4                    6           1              4.0   \n",
       "16                   1                    2           1              2.0   \n",
       "17                   1                    2           1              3.0   \n",
       "18                   6                    4          10              4.0   \n",
       "19                   1                    2           1              3.0   \n",
       "..                 ...                  ...         ...              ...   \n",
       "679                  1                    2           1              1.0   \n",
       "680                 10                    5          10             10.0   \n",
       "681                 10                    4          10              5.0   \n",
       "682                  1                    2           1              3.0   \n",
       "683                  1                    2           1              1.0   \n",
       "684                  1                    2           1              1.0   \n",
       "685                  1                    2           1              1.0   \n",
       "686                  1                    2           1              1.0   \n",
       "687                  1                    2           1              2.0   \n",
       "688                  1                    2           1              1.0   \n",
       "689                  1                    2           1              1.0   \n",
       "690                  3                    2           1              1.0   \n",
       "691                  5                    4           5              4.0   \n",
       "692                  1                    2           1              1.0   \n",
       "693                  1                    2           1              2.0   \n",
       "694                  1                    3           2              1.0   \n",
       "695                  1                    2           1              1.0   \n",
       "696                  3                    7           3              8.0   \n",
       "697                  4                    3           4             10.0   \n",
       "698                  5                    4           5             10.0   \n",
       "\n",
       "     normal_nucleoli  mitoses  class doctor_name  Dr. Doe  Dr. Lee  Dr. Smith  \\\n",
       "0                1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "1                2.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "2                1.0        1      0     Dr. Lee      0.0      1.0        0.0   \n",
       "3                7.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "4                1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "5                7.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "6                1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "7                1.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "8                1.0        5      0   Dr. Smith      0.0      0.0        1.0   \n",
       "9                1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "10               1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "11               1.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "12               4.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "13               1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "14               5.0        4      1     Dr. Doe      1.0      0.0        0.0   \n",
       "15               3.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "16               1.0        1      0     Dr. Lee      0.0      1.0        0.0   \n",
       "17               1.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "18               1.0        2      1   Dr. Smith      0.0      0.0        1.0   \n",
       "19               1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "..               ...      ...    ...         ...      ...      ...        ...   \n",
       "679              1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "680             10.0        7      1     Dr. Lee      0.0      1.0        0.0   \n",
       "681              6.0        3      1    Dr. Wong      0.0      0.0        0.0   \n",
       "682              2.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "683              1.0        1      0     Dr. Lee      0.0      1.0        0.0   \n",
       "684              1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "685              1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "686              1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "687              3.0        1      0     Dr. Lee      0.0      1.0        0.0   \n",
       "688              1.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "689              1.0        8      0     Dr. Lee      0.0      1.0        0.0   \n",
       "690              1.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "691              4.0        1      1    Dr. Wong      0.0      0.0        0.0   \n",
       "692              1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "693              1.0        2      0     Dr. Lee      0.0      1.0        0.0   \n",
       "694              1.0        1      0     Dr. Lee      0.0      1.0        0.0   \n",
       "695              1.0        1      0   Dr. Smith      0.0      0.0        1.0   \n",
       "696             10.0        2      1     Dr. Lee      0.0      1.0        0.0   \n",
       "697              6.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "698              4.0        1      1    Dr. Wong      0.0      0.0        0.0   \n",
       "\n",
       "     Dr. Wong  \n",
       "0         0.0  \n",
       "1         0.0  \n",
       "2         0.0  \n",
       "3         0.0  \n",
       "4         1.0  \n",
       "5         0.0  \n",
       "6         0.0  \n",
       "7         0.0  \n",
       "8         0.0  \n",
       "9         0.0  \n",
       "10        0.0  \n",
       "11        0.0  \n",
       "12        0.0  \n",
       "13        1.0  \n",
       "14        0.0  \n",
       "15        0.0  \n",
       "16        0.0  \n",
       "17        0.0  \n",
       "18        0.0  \n",
       "19        1.0  \n",
       "..        ...  \n",
       "679       0.0  \n",
       "680       0.0  \n",
       "681       1.0  \n",
       "682       1.0  \n",
       "683       0.0  \n",
       "684       1.0  \n",
       "685       0.0  \n",
       "686       0.0  \n",
       "687       0.0  \n",
       "688       0.0  \n",
       "689       0.0  \n",
       "690       0.0  \n",
       "691       1.0  \n",
       "692       1.0  \n",
       "693       0.0  \n",
       "694       0.0  \n",
       "695       0.0  \n",
       "696       0.0  \n",
       "697       0.0  \n",
       "698       1.0  \n",
       "\n",
       "[698 rows x 16 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How to convert benign & malingant to 0 and 1\n",
    "\n",
    "class_to_numerical_dictionary = {'benign':0, 'malignant':1}\n",
    "\n",
    "combined_df['class'] = combined_df['class'].map(class_to_numerical_dictionary)\n",
    "\n",
    "combined_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Feature building: \n",
    "\n",
    "def celltypelabel(x):\n",
    "    if ((x['cell_size_uniformity'] > 5) & (x['cell_shape_uniformity'] > 5)):\n",
    "        return('normal')\n",
    "    else:\n",
    "        return('abnormal')\n",
    "\n",
    "\n",
    "combined_df['cell_type_label'] = combined_df.apply(lambda x: celltypelabel(x), axis=1)\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>cell_type_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000025</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002945</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1015425</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1016277</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1017023</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1017122</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1018099</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1018561</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1033078</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1033078</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1035283</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1036172</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1041801</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1043999</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1044572</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1048672</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1049815</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1050670</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1050718</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>1368882</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>1369821</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>1371026</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1371920</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>466906</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>466906</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>534555</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>536708</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>566346</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>603148</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>654546</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>654546</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>695091</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>714039</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>763235</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>776715</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>841769</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>888820</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>897471</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>897471</td>\n",
       "      <td>normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>698 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id cell_type_label\n",
       "0       1000025        abnormal\n",
       "1       1002945        abnormal\n",
       "2       1015425        abnormal\n",
       "3       1016277          normal\n",
       "4       1017023        abnormal\n",
       "5       1017122          normal\n",
       "6       1018099        abnormal\n",
       "7       1018561        abnormal\n",
       "8       1033078        abnormal\n",
       "9       1033078        abnormal\n",
       "10      1035283        abnormal\n",
       "11      1036172        abnormal\n",
       "12      1041801        abnormal\n",
       "13      1043999        abnormal\n",
       "14      1044572        abnormal\n",
       "15      1047630        abnormal\n",
       "16      1048672        abnormal\n",
       "17      1049815        abnormal\n",
       "18      1050670          normal\n",
       "19      1050718        abnormal\n",
       "..          ...             ...\n",
       "679     1368882        abnormal\n",
       "680     1369821          normal\n",
       "681     1371026          normal\n",
       "682     1371920        abnormal\n",
       "683      466906        abnormal\n",
       "684      466906        abnormal\n",
       "685      534555        abnormal\n",
       "686      536708        abnormal\n",
       "687      566346        abnormal\n",
       "688      603148        abnormal\n",
       "689      654546        abnormal\n",
       "690      654546        abnormal\n",
       "691      695091          normal\n",
       "692      714039        abnormal\n",
       "693      763235        abnormal\n",
       "694      776715        abnormal\n",
       "695      841769        abnormal\n",
       "696      888820          normal\n",
       "697      897471          normal\n",
       "698      897471          normal\n",
       "\n",
       "[698 rows x 2 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df[['patient_id', 'cell_type_label']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>clump_thickness</th>\n",
       "      <th>cell_size_uniformity</th>\n",
       "      <th>cell_shape_uniformity</th>\n",
       "      <th>marginal_adhesion</th>\n",
       "      <th>single_ep_cell_size</th>\n",
       "      <th>bare_nuclei</th>\n",
       "      <th>bland_chromatin</th>\n",
       "      <th>normal_nucleoli</th>\n",
       "      <th>mitoses</th>\n",
       "      <th>class</th>\n",
       "      <th>doctor_name</th>\n",
       "      <th>Dr. Doe</th>\n",
       "      <th>Dr. Lee</th>\n",
       "      <th>Dr. Smith</th>\n",
       "      <th>Dr. Wong</th>\n",
       "      <th>cell_type_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1047630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1108370</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1110102</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1120559</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1147699</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1148278</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1166630</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1175937</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>1206695</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>1206841</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>1211202</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>1226612</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>1227481</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>1230688</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>1231706</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>255644</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>390840</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>476903</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>492268</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>606722</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>635844</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>733823</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Smith</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>760239</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>76389</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>785208</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>1238948</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>1258556</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Dr. Wong</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>672113</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>1295529</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>1352663</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Doe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>352431</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dr. Lee</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>abnormal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     patient_id  clump_thickness  cell_size_uniformity  cell_shape_uniformity  \\\n",
       "15      1047630              7.0                   4.0                      6   \n",
       "50      1108370              9.0                   5.0                      8   \n",
       "52      1110102             10.0                   3.0                      6   \n",
       "68      1120559              8.0                   3.0                      8   \n",
       "84      1147699              3.0                   5.0                      7   \n",
       "86      1148278              3.0                   3.0                      6   \n",
       "99      1166630              7.0                   5.0                      6   \n",
       "124     1175937              5.0                   4.0                      6   \n",
       "186     1206695              1.0                   5.0                      8   \n",
       "187     1206841             10.0                   5.0                      6   \n",
       "191     1211202              7.0                   5.0                     10   \n",
       "223     1226612              7.0                   5.0                      6   \n",
       "226     1227481             10.0                   5.0                      7   \n",
       "230     1230688              7.0                   4.0                      7   \n",
       "232     1231706              8.0                   4.0                      6   \n",
       "260      255644             10.0                   5.0                      8   \n",
       "270      390840              8.0                   4.0                      7   \n",
       "279      476903             10.0                   5.0                      7   \n",
       "283      492268             10.0                   4.0                      6   \n",
       "295      606722              5.0                   5.0                      7   \n",
       "300      635844              8.0                   4.0                     10   \n",
       "323      733823              5.0                   4.0                      6   \n",
       "329      760239             10.0                   4.0                      6   \n",
       "330       76389             10.0                   4.0                      7   \n",
       "333      785208              5.0                   4.0                      6   \n",
       "414     1238948              8.0                   5.0                      6   \n",
       "426     1258556              5.0                   3.0                      6   \n",
       "523      672113              7.0                   5.0                      6   \n",
       "591     1295529              2.0                   5.0                      7   \n",
       "603     1352663              5.0                   4.0                      6   \n",
       "605      352431             10.0                   5.0                     10   \n",
       "\n",
       "     marginal_adhesion  single_ep_cell_size bare_nuclei  bland_chromatin  \\\n",
       "15                   4                    6           1              4.0   \n",
       "50                   1                    2           3              2.0   \n",
       "52                   2                    3           5              4.0   \n",
       "68                   3                    4           9              8.0   \n",
       "84                   8                    8           9              7.0   \n",
       "86                   4                    5           8              4.0   \n",
       "99                  10                    5          10              7.0   \n",
       "124                  7                    9           7              8.0   \n",
       "186                  6                    5           8              7.0   \n",
       "187                 10                    6          10              7.0   \n",
       "191                 10                   10          10              4.0   \n",
       "223                  3                    3           8              7.0   \n",
       "226                  4                    4          10              8.0   \n",
       "230                  4                    3           7              7.0   \n",
       "232                  3                    3           1              4.0   \n",
       "260                 10                    3          10              5.0   \n",
       "270                  1                    3          10              3.0   \n",
       "279                  3                    3           7              3.0   \n",
       "283                  1                    2          10              5.0   \n",
       "295                  8                    6          10              7.0   \n",
       "300                  5                    4           4              7.0   \n",
       "323                 10                    2          10              4.0   \n",
       "329                  4                    5          10              7.0   \n",
       "330                  2                    2           8              6.0   \n",
       "333                  6                    4          10              4.0   \n",
       "414                  2                    3          10              6.0   \n",
       "426                  1                    2           1              1.0   \n",
       "523                 10                    4          10              5.0   \n",
       "591                  6                    4          10              7.0   \n",
       "603                  8                    4           1              8.0   \n",
       "605                  3                    5           8              7.0   \n",
       "\n",
       "     normal_nucleoli  mitoses  class doctor_name  Dr. Doe  Dr. Lee  Dr. Smith  \\\n",
       "15               3.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "50               1.0        5      1   Dr. Smith      0.0      0.0        1.0   \n",
       "52              10.0        2      1     Dr. Doe      1.0      0.0        0.0   \n",
       "68               9.0        8      1    Dr. Wong      0.0      0.0        0.0   \n",
       "84              10.0        7      1     Dr. Lee      0.0      1.0        0.0   \n",
       "86               4.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "99               9.0        4      1     Dr. Lee      0.0      1.0        0.0   \n",
       "124             10.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "186             10.0        1      1     Dr. Doe      1.0      0.0        0.0   \n",
       "187              7.0       10      1    Dr. Wong      0.0      0.0        0.0   \n",
       "191             10.0        3      1     Dr. Doe      1.0      0.0        0.0   \n",
       "223              4.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "226              9.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "230              6.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "232              3.0        1      0     Dr. Doe      1.0      0.0        0.0   \n",
       "260              1.0        3      1     Dr. Lee      0.0      1.0        0.0   \n",
       "270              9.0        2      1   Dr. Smith      0.0      0.0        1.0   \n",
       "279              3.0        8      1    Dr. Wong      0.0      0.0        0.0   \n",
       "283              3.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "295              4.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "300             10.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "323              1.0        1      1   Dr. Smith      0.0      0.0        1.0   \n",
       "329              1.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "330              1.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "333              3.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "414              6.0        1      1     Dr. Doe      1.0      0.0        0.0   \n",
       "426              1.0        1      0    Dr. Wong      0.0      0.0        0.0   \n",
       "523              3.0        1      1     Dr. Lee      0.0      1.0        0.0   \n",
       "591              6.0        1      1     Dr. Doe      1.0      0.0        0.0   \n",
       "603             10.0        1      1     Dr. Doe      1.0      0.0        0.0   \n",
       "605              8.0        3      1     Dr. Lee      0.0      1.0        0.0   \n",
       "\n",
       "     Dr. Wong cell_type_label  \n",
       "15        0.0        abnormal  \n",
       "50        0.0        abnormal  \n",
       "52        0.0        abnormal  \n",
       "68        1.0        abnormal  \n",
       "84        0.0        abnormal  \n",
       "86        0.0        abnormal  \n",
       "99        0.0        abnormal  \n",
       "124       0.0        abnormal  \n",
       "186       0.0        abnormal  \n",
       "187       1.0        abnormal  \n",
       "191       0.0        abnormal  \n",
       "223       0.0        abnormal  \n",
       "226       0.0        abnormal  \n",
       "230       0.0        abnormal  \n",
       "232       0.0        abnormal  \n",
       "260       0.0        abnormal  \n",
       "270       0.0        abnormal  \n",
       "279       1.0        abnormal  \n",
       "283       0.0        abnormal  \n",
       "295       0.0        abnormal  \n",
       "300       0.0        abnormal  \n",
       "323       0.0        abnormal  \n",
       "329       0.0        abnormal  \n",
       "330       0.0        abnormal  \n",
       "333       0.0        abnormal  \n",
       "414       0.0        abnormal  \n",
       "426       1.0        abnormal  \n",
       "523       0.0        abnormal  \n",
       "591       0.0        abnormal  \n",
       "603       0.0        abnormal  \n",
       "605       0.0        abnormal  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df[~(combined_df.cell_size_uniformity >5) & (combined_df.cell_shape_uniformity >5)]"
   ]
  }
 ],
 "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}