{ "cells": [ { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style>\n", " .dataframe thead tr:only-child th {\n", " text-align: right;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: left;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>ALBUMIN</th>\n", " <th>ANOREXIA</th>\n", " <th>ALK_PHOSPHATE</th>\n", " <th>ASCITES</th>\n", " <th>BILIRUBIN</th>\n", " <th>PROTIME</th>\n", " <th>SGOT</th>\n", " <th>Class</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>5</th>\n", " <td>4.0</td>\n", " <td>0.0</td>\n", " <td>95.0</td>\n", " <td>0.0</td>\n", " <td>0.9</td>\n", " <td>75.0</td>\n", " <td>28.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>4.4</td>\n", " <td>0.0</td>\n", " <td>78.0</td>\n", " <td>0.0</td>\n", " <td>1.3</td>\n", " <td>85.0</td>\n", " <td>30.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>3.7</td>\n", " <td>0.0</td>\n", " <td>59.0</td>\n", " <td>0.0</td>\n", " <td>1.0</td>\n", " <td>54.0</td>\n", " <td>249.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>12</th>\n", " <td>3.9</td>\n", " <td>0.0</td>\n", " <td>81.0</td>\n", " <td>0.0</td>\n", " <td>0.9</td>\n", " <td>52.0</td>\n", " <td>60.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>13</th>\n", " <td>4.9</td>\n", " <td>0.0</td>\n", " <td>57.0</td>\n", " <td>0.0</td>\n", " <td>2.2</td>\n", " <td>78.0</td>\n", " <td>144.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " ALBUMIN ANOREXIA ALK_PHOSPHATE ASCITES BILIRUBIN PROTIME SGOT \\\n", "5 4.0 0.0 95.0 0.0 0.9 75.0 28.0 \n", "10 4.4 0.0 78.0 0.0 1.3 85.0 30.0 \n", "11 3.7 0.0 59.0 0.0 1.0 54.0 249.0 \n", "12 3.9 0.0 81.0 0.0 0.9 52.0 60.0 \n", "13 4.9 0.0 57.0 0.0 2.2 78.0 144.0 \n", "\n", " Class \n", "5 1.0 \n", "10 1.0 \n", "11 1.0 \n", "12 1.0 \n", "13 1.0 " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hepatitis_analysis = hepatitis_data.dropna()\n", "interesting_values_x = ['ALBUMIN', 'ANOREXIA','ALK_PHOSPHATE', 'ASCITES', 'BILIRUBIN', 'PROTIME', 'SGOT', 'Class']\n", "hepatitis_analysis = hepatitis_analysis[interesting_values_x]\n", "hepatitis_analysis.head()" ] } ], "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }