Python | Numpy numpy.ndarray.__mod__()
With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__().
Syntax: ndarray.__mod__($self, value, /)
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Return: self%value
Example #1 :
In this example we can see that value that we have passed through ndarray.__mod__() method is used to perform the mod operation with every element 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.__mod__() methodprint(gfg.__mod__(2)) |
[ 1. 0.5 1. 0.8 1. ]
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.__mod__() methodprint(gfg.__mod__(3)) |
[[ 1. 2. 0. 1.45 2. ] [ 0. 2.5 1. 0. 2.62]]
