回答編集履歴
1
パフォーマンス意識
answer
CHANGED
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@@ -3,7 +3,7 @@
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3
3
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import pandas as pd
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4
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df = pd.DataFrame({'A':range(10), 'B':range(10), 'C':range(10)})
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6
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-
np.random.shuffle(df.loc[:, 'A'])
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6
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np.random.shuffle(df.loc[:, 'A'].to_numpy())
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7
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print(df)
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# A B C
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@@ -17,4 +17,12 @@
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# 7 4 7 7
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# 8 1 8 8
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# 9 9 9 9
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20
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```
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22
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```Python
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>>> %timeit df.iloc[:,0] = df.iloc[:,0].sample(frac=1).reset_index(drop=True)
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412 µs ± 1.72 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
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>>> %timeit np.random.shuffle(df.loc[:, 'A'].to_numpy())
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40.3 µs ± 117 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
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```
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