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Python | Numpy numpy.ndarray.__imul__()
  • Last Updated : 11 Mar, 2019

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.

Synatx: 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.

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# 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))

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Output:



[  6.   13.   15.   22.5  25. ]

Example #2 :

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# 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))

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Output:

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

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