With the help of Numpy numpy.ndarray.__divmod__()
method, we will get two arrays one is having elements that is divided by value that is provided in numpy.ndarray.__divmod__()
method and second is having elements that perform mod operation with same value as provided in numpy.ndarray.__divmod__()
method.
Syntax: ndarray.__divmod__($self, value, /)
Return: divmod(self, value)
Example #1 :
In this example we can see that by using ndarray.__divmod__()
method we get two arrays. One is with divided with value that is passed as parameter and other with mod values.
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([ 1 , 2 , 3 , 4 , 5 ]) # applying ndarray.__divmod__() method print (gfg.__divmod__( 3 )) |
(array([0, 0, 1, 1, 1]), array([1, 2, 0, 1, 2]))
Example #2 :
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([[ 1 , 2 , 3 , 4 , 5 ], [ 6 , 5 , 4 , 3 , 2 ]]) # applying ndarray.__divmod__() method print (gfg.__divmod__( 3 )) |
(array([[0, 0, 1, 1, 1], [2, 1, 1, 1, 0]]), array([[1, 2, 0, 1, 2], [0, 2, 1, 0, 2]]))
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