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numpy get sum

Famous Finch answered on August 16, 2021 Popularity 10/10 Helpfulness 3/10

answer numpy get sum

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numpy get sum

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>>> np.sum([0.5, 1.5])
2.0
>>> np.sum([0.5, 0.7, 0.2, 1.5], dtype=np.int32)
1
>>> np.sum([[0, 1], [0, 5]])
6
>>> np.sum([[0, 1], [0, 5]], axis=0)
array([0, 6])
>>> np.sum([[0, 1], [0, 5]], axis=1)
array([1, 5])
>>> np.sum([[0, 1], [np.nan, 5]], where=[False, True], axis=1)
array([1., 5.])

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Contributed on Aug 16 2021

Famous Finch

0 Answers Avg Quality 2/10

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arr = np.ones((3,2))
>>> array([[1., 1.],
           [1., 1.],
           [1., 1.]])

arr.sum(axis=0)
>>> array([3., 3.])

arr.sum(axis=1)
>>> array([2., 
           2., 
           2.])

Popularity 9/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python py

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Contributed on Jun 29 2023

VVY

0 Answers Avg Quality 2/10

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