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

9 votes246 views2 answers
Python execute string
Python
1 vote234 views1 answer
How to pronounce aesthetic
Python
0 vote188 views1 answer
Reverse a string using stack in python
Python
4 votes244 views1 answer
Pandas transpose
Python
0 vote241 views1 answer
Standardise columns python
Python
70 votes231 views6 answers
Python alphabet
Python
6 votes219 views2 answers
Count similar values in list python
Python
0 vote257 views1 answer
Numpy how to dropzero
Python
0 vote258 views1 answer
Staff user is not restricting permission in django
Python Django
0 vote229 views1 answer
Get UTC time for IST time python
Python