# Python | Numpy ndarray.__itruediv__()

• Last Updated : 27 Mar, 2019

With the help of Numpy ndarray.__itruediv__(), we can divide a particular value that is provided as a parameter in the ndarray.__itruediv__() method. Value will be divided to each and every element in a numpy array.

Syntax: ndarray.__itruediv__(\$self, value, /)

Return: self/=value

Example #1 :
In this example we can see that each and every element in an array is divided with the value given as a parameter in method ndarray.__itruediv__(). This method will work fine for positive, negative and floating point values 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.__itruediv__() methodprint(gfg.__itruediv__(2))
Output:
[ 0.5   1.25  1.5   2.4   2.5 ]

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.__itruediv__() methodprint(gfg.__itruediv__(3))
Output:
[[ 0.33333333  0.66666667  1.          1.48333333  1.66666667]
[ 2.          1.83333333  1.33333333  1.          0.87333333]]

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