Created
June 7, 2020 07:22
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 34, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from sklearn.preprocessing import LabelEncoder\n", | |
"le=LabelEncoder()\n", | |
"dataset['variety']=le.fit_transform(dataset['variety'])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 35, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"dataset = pd.concat([dataset['variety'], dataset.drop(['variety'], axis=1)], axis=1) " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 36, | |
"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>variety</th>\n", | |
" <th>sepal.length</th>\n", | |
" <th>sepal.width</th>\n", | |
" <th>petal.length</th>\n", | |
" <th>petal.width</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>0</td>\n", | |
" <td>5.1</td>\n", | |
" <td>3.5</td>\n", | |
" <td>1.4</td>\n", | |
" <td>0.2</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>0</td>\n", | |
" <td>4.9</td>\n", | |
" <td>3.0</td>\n", | |
" <td>1.4</td>\n", | |
" <td>0.2</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>0</td>\n", | |
" <td>4.7</td>\n", | |
" <td>3.2</td>\n", | |
" <td>1.3</td>\n", | |
" <td>0.2</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" variety sepal.length sepal.width petal.length petal.width\n", | |
"0 0 5.1 3.5 1.4 0.2\n", | |
"1 0 4.9 3.0 1.4 0.2\n", | |
"2 0 4.7 3.2 1.3 0.2" | |
] | |
}, | |
"execution_count": 36, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"dataset.head(3)" | |
] | |
}, | |
{ | |
"cell_type": "raw", | |
"metadata": {}, | |
"source": [ | |
"0 --> Setosa\n", | |
"1 --> Versicolor\n", | |
"2 --> Virginica" | |
] | |
} | |
], | |
"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": "3.7.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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