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a-y-khan/pandas_split_dataframe.ipynb

Created June 25, 2018 06:03
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pandas_split_dataframe.ipynb
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"source": [
"import pandas as pd\n",
"\n",
"df = pd.DataFrame([[1,2],[3,4],[5,6],[7,8],[9,10],[11,12]], columns=['col1', 'col2'])\n",
"print(df.shape)\n",
"print(df.index)\n",
"df"
]
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],
"source": [
"test_df = df.sample(frac=0.3)\n",
"print(test_df.index)\n",
"test_df"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RangeIndex(start=0, stop=2, step=1)\n"
]
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" </tr>\n",
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" index col1 col2\n",
"0 2 5 6\n",
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"metadata": {},
"output_type": "execute_result"
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],
"source": [
"test_df = test_df.reset_index()\n",
"print(test_df.index)\n",
"test_df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Int64Index([2, 3, 4, 5], dtype='int64')\n"
]
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" <th></th>\n",
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" </tr>\n",
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" </tr>\n",
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" <th>4</th>\n",
" <td>9</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>11</td>\n",
" <td>12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" col1 col2\n",
"2 5 6\n",
"3 7 8\n",
"4 9 10\n",
"5 11 12"
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_df = df.drop(test_df.index)\n",
"print(train_df.index)\n",
"train_df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RangeIndex(start=0, stop=4, step=1)\n"
]
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{
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" <td>9</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>5</td>\n",
" <td>11</td>\n",
" <td>12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
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" index col1 col2\n",
"0 2 5 6\n",
"1 3 7 8\n",
"2 4 9 10\n",
"3 5 11 12"
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},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_df = train_df.reset_index()\n",
"print(train_df.index)\n",
"train_df"
]
}
],
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