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)) |
Output:
[ 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)) |
Output:
[[ 0.33333333 0.66666667 1. 1.48333333 1.66666667] [ 2. 1.83333333 1.33333333 1. 0.87333333]]
