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Answer: In numpy.sum() there is parameter called "keepdims". What does it do?
Published at
5/13/2023
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Author
Jaweher Ben Salah
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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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