Python | Numpy numpy.ndarray.__divmod__()
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 numpy as np
gfg = np.array([ 1 , 2 , 3 , 4 , 5 ])
print (gfg.__divmod__( 3 ))
|
Output:
(array([0, 0, 1, 1, 1]), array([1, 2, 0, 1, 2]))
Example #2 :
import numpy as np
gfg = np.array([[ 1 , 2 , 3 , 4 , 5 ],
[ 6 , 5 , 4 , 3 , 2 ]])
print (gfg.__divmod__( 3 ))
|
Output:
(array([[0, 0, 1, 1, 1],
[2, 1, 1, 1, 0]]),
array([[1, 2, 0, 1, 2],
[0, 2, 1, 0, 2]]))
Last Updated :
12 Mar, 2019
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