Python | Numpy numpy.ndarray.__truediv__()
With the help of Numpy numpy.ndarray.__truediv__()
, we can divide a particular value that is provided as a parameter in the ndarray.__truediv__()
method. Value will be divided to each and every element in a numpy array.
Syntax: ndarray.__truediv__($self, value, /)
Return: self/value
Example #1 :
In this example, we can see that each element in an array is divided with the value given as a parameter in method ndarray.__truediv__()
. 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.__truediv__() method print (gfg.__truediv__( 2 )) |
[ 0.5 1.25 1.5 2.4 2.5 ]
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.__truediv__() method print (gfg.__truediv__( 3 )) |
[[ 0.33333333 0.66666667 1. 1.48333333 1.66666667] [ 2. 1.83333333 1.33333333 1. 0.87333333]]
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