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

0 vote292 views1 answer
Plotting keras model trainning history
Python
0 vote312 views1 answer
Django filter word count greater than
Python
0 vote317 views1 answer
Check if cuda is present in torch
Python
16 votes320 views6 answers
Show all columns in pandas
Python
0 vote339 views1 answer
Suppress pandas future warnings
Python
0 vote320 views4 answers
Craeting a method that can take any number of arguments in python
Python
2 votes287 views3 answers
Pandas dataframe compare two dataframes and extract difference
Python
3 votes291 views2 answers
Matplotlib log scale y axis base
Python
0 vote274 views1 answer
Tuple and dictionary in python
Python
0 vote309 views1 answer
Ssl django nginx
Python Django