回答編集履歴
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誤り訂正
test
CHANGED
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@@ -1,8 +1,8 @@
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1
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numpyのvectorizeかfrompyfuncを使う方法があると思います。
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2
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3
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が、型が混在する配列の場合はfrompyfunc一択のようです。
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とりあえずvectorizeを使う場合
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```Python
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8
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@@ -10,7 +10,7 @@
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-
f = np.vectorize(lambda _a, _b: _a
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f = np.vectorize(lambda _a, _b: _a or _b)
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@@ -20,12 +20,40 @@
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-
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r = f(a,b)
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print(r)
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print([type(_r) for _r in r ])
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f = np.frompyfunc(lambda _a, _b: _a or _b, 2, 1)
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r = f(a,b)
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print(r)
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print([type(_r) for _r in r])
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40
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```
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-
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```result
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46
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['True' 'hoge' '1' '3']
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[<class 'numpy.str_'>, <class 'numpy.str_'>, <class 'numpy.str_'>, <class 'numpy.str_'>]
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['True' 'hoge' 1 3]
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[<class 'str'>, <class 'str'>, <class 'int'>, <class 'int'>]
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```
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58
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31
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[Python高速化実験～map関数とか～](https://takala.tokyo/takala_wp/2018/11/28/736/)
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59
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参考記事：[Python高速化実験～map関数とか～](https://takala.tokyo/takala_wp/2018/11/28/736/)
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