質問編集履歴
6
あああ
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#参考にしたもの
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**np.vectorize**を用いてみましたが同じエラー文がでます
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105
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```python
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# PYTHON_NUMPY_FROMPYFUNC
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5
aaa
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#参考にしたもの
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```python
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# PYTHON_NUMPY_FROMPYFUNC
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import numpy as np
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# binをユニバーサル関数に変換
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ubin = np.frompyfunc(bin, 1, 1)
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# 配列を用意
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num = np.array([1, 2, 3, 4, 5])
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# numの要素を2進数表記に変換
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x = ubin(num)
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print(x)
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```
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下記のコードは特に軸とか選択してないと思うのですがlistだから動くのでしょうか？
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```python
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4
, → .
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def calc_test(self
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def calc_test(self, array_in):
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何かしらの計算
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3
書き忘れていたselfを追加
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def calc_test(array_in):
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def calc_test(self.array_in):
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何かしらの計算
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2
特になし
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axis -1 is out of bounds for array of dimension 0
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**詳細**
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90
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989 else:
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990 a = asanyarray(a).copy(order="K")
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--> 991 a.sort(axis=axis, kind=kind, order=order)
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992 return a
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#参考にしたもの
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1
np.frompyfuncの代入先をcalc→calcFに変更
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calc = np.frompyfunc(calc.calc_test, 1, 1)
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calcF = np.frompyfunc(calc.calc_test, 1, 1)
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ndarray_out = calc(ndarray_out)
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ndarray_out = calcF(ndarray_out)
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