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Python | Numpy numpy.ndarray.__mul__()
  • Last Updated : 06 Mar, 2019

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

Syntax: ndarray.__mul__($self, value, /)

Return: self*value

Example #1 :
In this example, we can see that each element in an array is multiplied with the value given as a parameter in method ndarray.__mul__(). This method will work fine for positive, negative and floating point values of an array.




# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([1, 2.5, 3, 4.8, 5])
   
# applying ndarray.__mul__() method
print(gfg.__mul__(5))
Output:



[  5.   12.5  15.   24.   25. ]

Example #2 :




# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([[1, 2, 3, 4.45, 5],
                [6, 5.5, 4, 3, 2.62]])
   
# applying ndarray.__mul__() method
print(gfg.__mul__(5))
Output:
[[  5.    10.    15.    22.25  25.  ]
 [ 30.    27.5   20.    15.    13.1 ]]

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