Python | Numpy numpy.ndarray.__mul__()
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, /)
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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 pythonimport numpy as np # make an array with numpygfg = np.array([1, 2.5, 3, 4.8, 5]) # applying ndarray.__mul__() methodprint(gfg.__mul__(5)) |
[ 5. 12.5 15. 24. 25. ]
Example #2 :
# import the important module in pythonimport numpy as np # make an array with numpygfg = np.array([[1, 2, 3, 4.45, 5], [6, 5.5, 4, 3, 2.62]]) # applying ndarray.__mul__() methodprint(gfg.__mul__(5)) |
[[ 5. 10. 15. 22.25 25. ] [ 30. 27.5 20. 15. 13.1 ]]
