July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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A.3
ブロードキャスト
503
[-1.6874],
[-0.5222],
[-0.2036]])
In [91]: demeaned = arr - row_means.reshape((4, 1))
In [92]: demeaned.mean(1)
Out[92]: array([ 0., -0., 0., 0.])
この操作の説明については図 A-5を見てください。
図A-5 2次元配列の第1軸へのブロードキャスト
別の例が図A-6にあります。ここでは、
3
次元配列の第
0
軸に
2
次元配列を加える例を示しています。
図A-6 3次元配列の第0軸へのブロードキャスト
A.3.1
他の軸へのブロードキャスト
もっと高次元の配列にブロードキャストを適用することもできます。さらに混乱してしまいそうです
が、実は先ほどの規則に従うことだけ考えていれば問題ありません。規則に従っていない場合は、次
504
付録
A
NumPy
：応用編
のようなエラーになります。
In [93]: arr - arr.mean(1)
---------------------------------------------------------------------------
ValueError Traceback (most recent ...
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