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August 26, 2019 22:28
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import pandas as pd\n", | |
"import numpy as np" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = pd.DataFrame({'i':range(20),\n", | |
" 'L':[chr(97+i) for i in range(20)]\n", | |
" })\n", | |
"\n", | |
"df['L2'] = df['L']" | |
] | |
}, | |
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" <tr>\n", | |
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" <tr>\n", | |
" <th>L2</th>\n", | |
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"text/plain": [ | |
" 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n", | |
"i 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n", | |
"L a b c d e f g h i j k l m n o p q r s t\n", | |
"L2 a b c d e f g h i j k l m n o p q r s t" | |
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"df.T" | |
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{ | |
"data": { | |
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"(20, 8)" | |
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} | |
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"source": [ | |
"n_rows=len(df)\n", | |
"n_shuffle=int(n_rows*0.4)\n", | |
"n_rows, n_shuffle" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array([ 3, 0, 11, 16, 14, 4, 8, 12])" | |
] | |
}, | |
"execution_count": 12, | |
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"output_type": "execute_result" | |
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"pick_rows=np.random.permutation(list(range(n_rows)))[0:n_shuffle]\n", | |
"pick_rows" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array(['l', 'e', 'd', 'q', 'o', 'i', 'm', 'a'], dtype=object)" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
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"source": [ | |
"shuffled_values=np.random.permutation(df['L2'][pick_rows])\n", | |
"shuffled_values" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"C:\\Users\\adumont\\.conda\\envs\\fastai-cpu\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n", | |
"A value is trying to be set on a copy of a slice from a DataFrame\n", | |
"\n", | |
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", | |
" \"\"\"Entry point for launching an IPython kernel.\n" | |
] | |
} | |
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"df['L2'][pick_rows]=shuffled_values" | |
] | |
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" 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n", | |
"i 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n", | |
"L a b c d e f g h i j k l m n o p q r s t\n", | |
"L2 e b c l i f g h m j k d a n o p q r s t" | |
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