Numpy get sum

>>> 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.])

Similar codes

114 votes186 views6 answers
Python pip install
Python
3 votes179 views2 answers
Python If ... Else
Python
13 votes192 views5 answers
How to press enter in selenium python
Python
0 vote203 views1 answer
Parse_dates
Python
6 votes177 views5 answers
Python open folder in explorer
Python
0 vote185 views1 answer
Python how to make boxplots with swarmplot
Python
0 vote186 views1 answer
Run django localhost server
Python
0 vote165 views1 answer
Python array_combine
Python
2 votes180 views1 answer
How to add captcha in django forms
Python
0 vote184 views1 answer
Change the side of the axis plt python
Python