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data-science-ipython-notebooks/kaggle/Iris_Species/scikit-learn2-test.ipynb

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Iris-Species
2021-11-05 04:15:02 +08:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"iris = sns.load_dataset(\"iris\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.frame.DataFrame"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(iris)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" text-align: right;\n",
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sepal_length</th>\n",
" <th>sepal_width</th>\n",
" <th>petal_length</th>\n",
" <th>petal_width</th>\n",
" <th>species</th>\n",
" </tr>\n",
" </thead>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>5.1</td>\n",
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" <td>0.2</td>\n",
" <td>setosa</td>\n",
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" <th>1</th>\n",
" <td>4.9</td>\n",
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" <td>4.8</td>\n",
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" <td>0.1</td>\n",
" <td>setosa</td>\n",
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" <th>13</th>\n",
" <td>4.3</td>\n",
" <td>3.0</td>\n",
" <td>1.1</td>\n",
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" <td>setosa</td>\n",
" </tr>\n",
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" <th>14</th>\n",
" <td>5.8</td>\n",
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" <td>setosa</td>\n",
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" <td>5.7</td>\n",
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" <td>setosa</td>\n",
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" <td>5.7</td>\n",
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" <td>setosa</td>\n",
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" <td>setosa</td>\n",
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" <td>4.7</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <th>135</th>\n",
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" <td>virginica</td>\n",
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" <td>virginica</td>\n",
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" <th>137</th>\n",
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" <td>5.5</td>\n",
" <td>1.8</td>\n",
" <td>virginica</td>\n",
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" <th>138</th>\n",
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" <td>virginica</td>\n",
" </tr>\n",
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" <th>139</th>\n",
" <td>6.9</td>\n",
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" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>6.7</td>\n",
" <td>3.1</td>\n",
" <td>5.6</td>\n",
" <td>2.4</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>6.9</td>\n",
" <td>3.1</td>\n",
" <td>5.1</td>\n",
" <td>2.3</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>5.8</td>\n",
" <td>2.7</td>\n",
" <td>5.1</td>\n",
" <td>1.9</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>6.8</td>\n",
" <td>3.2</td>\n",
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" <td>2.3</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
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" <th>144</th>\n",
" <td>6.7</td>\n",
" <td>3.3</td>\n",
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" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>145</th>\n",
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" <th>146</th>\n",
" <td>6.3</td>\n",
" <td>2.5</td>\n",
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" <td>virginica</td>\n",
" </tr>\n",
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" <th>147</th>\n",
" <td>6.5</td>\n",
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" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
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" <td>virginica</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>5.9</td>\n",
" <td>3.0</td>\n",
" <td>5.1</td>\n",
" <td>1.8</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>150 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" sepal_length sepal_width petal_length petal_width species\n",
"0 5.1 3.5 1.4 0.2 setosa\n",
"1 4.9 3.0 1.4 0.2 setosa\n",
"2 4.7 3.2 1.3 0.2 setosa\n",
"3 4.6 3.1 1.5 0.2 setosa\n",
"4 5.0 3.6 1.4 0.2 setosa\n",
"5 5.4 3.9 1.7 0.4 setosa\n",
"6 4.6 3.4 1.4 0.3 setosa\n",
"7 5.0 3.4 1.5 0.2 setosa\n",
"8 4.4 2.9 1.4 0.2 setosa\n",
"9 4.9 3.1 1.5 0.1 setosa\n",
"10 5.4 3.7 1.5 0.2 setosa\n",
"11 4.8 3.4 1.6 0.2 setosa\n",
"12 4.8 3.0 1.4 0.1 setosa\n",
"13 4.3 3.0 1.1 0.1 setosa\n",
"14 5.8 4.0 1.2 0.2 setosa\n",
"15 5.7 4.4 1.5 0.4 setosa\n",
"16 5.4 3.9 1.3 0.4 setosa\n",
"17 5.1 3.5 1.4 0.3 setosa\n",
"18 5.7 3.8 1.7 0.3 setosa\n",
"19 5.1 3.8 1.5 0.3 setosa\n",
"20 5.4 3.4 1.7 0.2 setosa\n",
"21 5.1 3.7 1.5 0.4 setosa\n",
"22 4.6 3.6 1.0 0.2 setosa\n",
"23 5.1 3.3 1.7 0.5 setosa\n",
"24 4.8 3.4 1.9 0.2 setosa\n",
"25 5.0 3.0 1.6 0.2 setosa\n",
"26 5.0 3.4 1.6 0.4 setosa\n",
"27 5.2 3.5 1.5 0.2 setosa\n",
"28 5.2 3.4 1.4 0.2 setosa\n",
"29 4.7 3.2 1.6 0.2 setosa\n",
".. ... ... ... ... ...\n",
"120 6.9 3.2 5.7 2.3 virginica\n",
"121 5.6 2.8 4.9 2.0 virginica\n",
"122 7.7 2.8 6.7 2.0 virginica\n",
"123 6.3 2.7 4.9 1.8 virginica\n",
"124 6.7 3.3 5.7 2.1 virginica\n",
"125 7.2 3.2 6.0 1.8 virginica\n",
"126 6.2 2.8 4.8 1.8 virginica\n",
"127 6.1 3.0 4.9 1.8 virginica\n",
"128 6.4 2.8 5.6 2.1 virginica\n",
"129 7.2 3.0 5.8 1.6 virginica\n",
"130 7.4 2.8 6.1 1.9 virginica\n",
"131 7.9 3.8 6.4 2.0 virginica\n",
"132 6.4 2.8 5.6 2.2 virginica\n",
"133 6.3 2.8 5.1 1.5 virginica\n",
"134 6.1 2.6 5.6 1.4 virginica\n",
"135 7.7 3.0 6.1 2.3 virginica\n",
"136 6.3 3.4 5.6 2.4 virginica\n",
"137 6.4 3.1 5.5 1.8 virginica\n",
"138 6.0 3.0 4.8 1.8 virginica\n",
"139 6.9 3.1 5.4 2.1 virginica\n",
"140 6.7 3.1 5.6 2.4 virginica\n",
"141 6.9 3.1 5.1 2.3 virginica\n",
"142 5.8 2.7 5.1 1.9 virginica\n",
"143 6.8 3.2 5.9 2.3 virginica\n",
"144 6.7 3.3 5.7 2.5 virginica\n",
"145 6.7 3.0 5.2 2.3 virginica\n",
"146 6.3 2.5 5.0 1.9 virginica\n",
"147 6.5 3.0 5.2 2.0 virginica\n",
"148 6.2 3.4 5.4 2.3 virginica\n",
"149 5.9 3.0 5.1 1.8 virginica\n",
"\n",
"[150 rows x 5 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"iris"
]
},
{
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"metadata": {
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},
"outputs": [],
"source": []
},
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