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February 20, 2020 11:55
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{ | |
"nbformat": 4, | |
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"metadata": { | |
"colab": { | |
"name": "2020-02-20 radky.ipynb", | |
"provenance": [] | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
} | |
}, | |
"cells": [ | |
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"cell_type": "code", | |
"metadata": { | |
"id": "Y0GR-wCKaJN5", | |
"colab_type": "code", | |
"colab": {} | |
}, | |
"source": [ | |
"import pandas as pd\n", | |
"from pandas import DataFrame" | |
], | |
"execution_count": 0, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "QfUWbjjLaeTf", | |
"colab_type": "code", | |
"colab": {} | |
}, | |
"source": [ | |
"tabulka_a = DataFrame(data=[\n", | |
" dict(a=22, b='dd', c='ee', d='ff'),\n", | |
" dict(a=11, b='aa', c='bb', d='cc'),\n", | |
" dict(a=33, b='gg', c='hh', d='ii'),\n", | |
"])\n", | |
"tabulka_b = DataFrame(data=[\n", | |
" dict(a=11, b='aa', c='hh', d='cc'),\n", | |
" dict(a=11, b='aa', c='bb', d='cc'),\n", | |
" dict(a=55, b='hh', c='nn', d='mm'),\n", | |
" dict(a=22, b='dd', c='ee', d='ff'),\n", | |
"])" | |
], | |
"execution_count": 0, | |
"outputs": [] | |
}, | |
{ | |
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"metadata": { | |
"id": "l18JMPWkaqhP", | |
"colab_type": "code", | |
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"base_uri": "https://localhost:8080/", | |
"height": 142 | |
}, | |
"outputId": "105f3554-cfad-4f3c-af9c-158a91046b5a" | |
}, | |
"source": [ | |
"tabulka_a" | |
], | |
"execution_count": 8, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
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" <td>cc</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>33</td>\n", | |
" <td>gg</td>\n", | |
" <td>hh</td>\n", | |
" <td>ii</td>\n", | |
" </tr>\n", | |
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"text/plain": [ | |
" a b c d\n", | |
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"metadata": { | |
"tags": [] | |
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"execution_count": 8 | |
} | |
] | |
}, | |
{ | |
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"colab_type": "code", | |
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"height": 173 | |
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"outputId": "53208926-6f80-4d9b-e7e2-2d80dde70642" | |
}, | |
"source": [ | |
"tabulka_b" | |
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"execution_count": 9, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
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" <td>mm</td>\n", | |
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" <th>3</th>\n", | |
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"text/plain": [ | |
" a b c d\n", | |
"0 11 aa hh cc\n", | |
"1 11 aa bb cc\n", | |
"2 55 hh nn mm\n", | |
"3 22 dd ee ff" | |
] | |
}, | |
"metadata": { | |
"tags": [] | |
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"execution_count": 9 | |
} | |
] | |
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{ | |
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"id": "UBUjUfWsbN4L", | |
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"base_uri": "https://localhost:8080/", | |
"height": 142 | |
}, | |
"outputId": "868ee409-fb50-4cf5-9557-cf839cd579f0" | |
}, | |
"source": [ | |
"pd.merge(tabulka_a, tabulka_b, how='left', indicator=True)" | |
], | |
"execution_count": 17, | |
"outputs": [ | |
{ | |
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"text/plain": [ | |
" a b c d _merge\n", | |
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"1 11 aa bb cc both\n", | |
"2 33 gg hh ii left_only" | |
] | |
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"execution_count": 17 | |
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"" | |
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