Numpy的文档语法 [英] Numpy where syntax from docs

问题描述

尝试自学一些python，我对文档的where函数感到非常困惑.有人可以从下面的文档中逐步解释示例吗?

Trying to teach myself some python and I am super confused from the docs what the where function does. Can somebody explain the example from the documentation below step by step please?

>>> np.where([[True, False], [True, True]],
...          [[1, 2], [3, 4]],
...          [[9, 8], [7, 6]])
array([[1, 8],
       [3, 4]])

推荐答案

基本语法为np.where(x, a, b)在x为true的地方，采用a的元素，在其为false的地方，采用.相当于这样的东西:

The basic syntax is np.where(x, a, b) Wherever x is true, take that element of a, and wherever it's false, take an element of b. It's equivalent to something like this:

x =. . [[1，0]，[1，1]])，而不是x = [[0，1]，[0，0]]

x = . . [[1, 0], [1, 1]]), not x =[[0, 1], [0, 0 ]]

array([[1， 2 ]，[3，4]])+ array([[ 7 ，8]，[ 9 10 ]])

array([[1, 2], [3, 4]]) + array([[7, 8], [9, 10]])

array([[1，0]，[3，4]])+ array([[0，8]，[0，0]])= array([[1，8]，[3，4 ]])

array([[1, 0], [3, 4]]) + array([[0, 8], [0, 0 ]]) = array([[1, 8], [3, 4]])

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