有什么方法可以删除numpy数组“就地"数组中的特定元素吗?在python中: [英] Is there any way to delete the specific elements of an numpy array "In-place" in python:

问题描述

当调用"np.delete()"时，我不希望为减小尺寸的数组定义一个新变量.我想对原始的numpy数组执行删除.任何想法?

when calling the "np.delete()", I am not interested to define a new variable for the reduced size array. I want to execute the delete on the original numpy array. Any thought?

>>> arr = np.array([[1,2], [5,6], [9,10]])
>>> arr
array([[ 1,  2],
       [ 5,  6],
       [ 9, 10]])
>>> np.delete(arr, 1, 0)
array([[ 1,  2],
       [ 9, 10]])
>>> arr
array([[ 1,  2],
       [ 5,  6],
       [ 9, 10]])
but I want:
>>> arr
array([[ 1,  2],
       [ 9, 10]])

推荐答案

NumPy数组是固定大小的，因此不能有np.delete的就地版本.任何此类函数都必须更改数组的大小.

NumPy arrays are fixed-size, so there can't be an in-place version of np.delete. Any such function would have to change the array's size.

您能获得的最接近的结果是重新分配arr变量:

The closest you can get is reassigning the arr variable:

arr = numpy.delete(arr, 1, 0)

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