禁用numpy中的静默转换 [英] Disable silent conversions in numpy

问题描述

是否可以在numpy中禁用静默转换?

Is there a way to disable silent conversions in numpy?

import numpy as np
a = np.empty(10, int)
a[2] = 4     # OK
a[3] = 4.9   # Will silently convert to 4, but I would prefer a TypeError
a[4] = 4j    # TypeError: can't convert complex to long

在分配非ndarray类型的isinstance()的任何值时，可以将numpy.ndarray对象配置为返回TypeError吗? 如果不是，最好的替代方法是子类(并覆盖__setattr__或__setitem__)吗?

Can numpy.ndarray objects be configured to return a TypeError when assigning any value which is not isinstance() of the ndarray type? If not, would the best alternative be to subclass numpy.ndarray (and override __setattr__ or __setitem__)?

推荐答案

不幸的是，numpy在数组创建中未提供此功能，您可以设置是否仅在转换数组时才允许强制转换(请参阅文档以获取相关信息). numpy.ndarray.astype ).

Unfortunately numpy doesn't offer this feature in array creation, you can set if casting is allowed only when you are converting an array (check the documentation for numpy.ndarray.astype).

您可以使用该功能或​​子类，但也可以考虑使用 模块来创建类型数组:

You could use that feature, or subclass numpy.ndarray, but also consider using the array module offered by python itself to create a typed array:

from array import array

a = array('i', [0] * 10)
a[2] = 4                   # OK
a[3] = 4.9                 # TypeError: integer argument expected, got float

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