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 vote276 views1 answer
Merge 2 or more notebooks into one
Python
0 vote259 views1 answer
Element assignment numpy matrix
Python
1 vote251 views1 answer
Python list comprehension index, value
Python
0 vote253 views1 answer
Star program in python using for loop
Python
4 votes252 views1 answer
How to save matplotlib figure to png
Python
0 vote262 views1 answer
Ignore bad lines pandas
Python
0 vote319 views1 answer
Python class to tuple
Python
-1 vote255 views1 answer
Install python module github
Python
0 vote257 views1 answer
Stack widgets in tkinter
Python
0 vote300 views1 answer
Mylist = [“hello”, “bye”,”see ya”,”later”] phrase = mylist[1]
Python