Np.multiply

>>> x1 = np.arange(9.0).reshape((3, 3))
>>> x2 = np.arange(3.0)
>>> np.multiply(x1, x2)
array([[  0.,   1.,   4.],
       [  0.,   4.,  10.],
       [  0.,   7.,  16.]])

Source: numpy.org

Similar codes

0 vote228 views2 answers
Python del list
Python
10 votes262 views3 answers
Matplotlib axis labels
Python
15 votes261 views3 answers
How to get the current year in python
Python
67 votes277 views4 answers
How to know the version of python using cmd
Python
0 vote304 views1 answer
Serializing nested objects drf,django restframework nested object serialization
Python Django
6 votes284 views2 answers
Python generate dictionary in loop
Python
7 votes269 views2 answers
What is the output of the following code? np.arange(0,22,6)
Python
3 votes274 views1 answer
How to add text in python turtle
Python
45 votes279 views2 answers
String to datetime convert
Python
0 vote282 views1 answer
Youtube-dl python get file name
Python