计算每行中numpy数组中的trues数量？

Question

I have a numpy array and I want to return the count of true values for each row.

for example I have a numpy array:

[[False False False ..., False False False]
 [False False False ..., False False False]
 [False False False ..., False  True False]
 ..., 
 [False False False ..., False False False]
 [ True False  True ...,  True  True  True]
 [False False False ..., False False False]]

and the return value should be like:

[10
 15
 8
 ..., 
 11
 10
 12]

This question asks about how to do it for the whole array but how do I do it for each row?

Answer 1

我们可以通过为sum函数提供一个axis参数来做到这一点：

arr.sum(axis=1)