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 vote301 views1 answer
Reverse relationship in django for one to one field for usage in Django rest serializer
Python Django
8 votes337 views6 answers
Python fibonacci sequence
Python
5 votes267 views1 answer
Pandas save file to pickle
Python
1 vote276 views1 answer
Keras auc without tf.metrics.auc
Python
0 vote269 views1 answer
How to open cmd at specific size using python
Python
24 votes275 views3 answers
Warning ignore python
Python
0 vote278 views1 answer
Python time range monthly
Python
3 votes339 views1 answer
Access the value in settings django
Python Django
5 votes321 views6 answers
Dict comprehension python
Python
4 votes279 views3 answers
Pandas dataframe add two columns int and string
Python