Answer: In numpy.sum() there is parameter called "keepdims". What does it do?

answer re: In numpy.sum() there is parameter called "keepdims". What does it do?

May 1 '19

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An example showing keepdims in action when working with higher dimensional arrays. Let's see how the shape of the array changes as we do different reductions:

import numpy as np
a = np.random.rand(2,3,4)
a.shape
# => (2, 3, 4)
# Note: axis=0 refers to the first dimension of size 2

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