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Python | Numpy numpy.ndarray.__imul__()

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With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array.
 

Syntax: ndarray.__imul__($self, value, /)
Return: self*=value 
 

Example #1 : 
In this example we can see that each and every element in an array is multiplied with the value given as a parameter in method ndarray.__imul__(). Remember this method will work with every type of numeric value.
 

Python3




# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([1.2, 2.6, 3, 4.5, 5])
   
# applying ndarray.__imul__() method
print(gfg.__imul__(5))


Output: 

[  6.   13.   15.   22.5  25. ]

 

Example #2 :
 

Python3




# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([[1, 2.2, 3, 4, 5.01],
                [6.1, 5, 4.8, 3, 2]])
   
# applying ndarray.__imul__() method
print(gfg.__imul__(3))


Output: 

[[  3.     6.6    9.    12.    15.03]
 [ 18.3   15.    14.4    9.     6.  ]]

 


Last Updated : 22 Jul, 2021
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