numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__itruediv__ we can ma particular value that is provided as a parameter in the MaskedArray.__itruediv__() method.
Syntax: numpy.MaskedArray.__itruediv__(other)
Return: True divide self by other in-place.
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 MaskedArray.__itruediv__().
# import the important module in python import numpy as np # make an array with numpy gfg = np.ma.array([1, 2.5, 3, 4.8, 5]) # applying MaskedArray.__itruediv__() method print(gfg.__itruediv__(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.ma.array([[1, 2, 3, 4.45, 5], [6, 5.5, 4, 3, 2.62]]) # applying MaskedArray.__itruediv__() method print(gfg.__itruediv__(5)) |
Output:
[[ 0.2 0.4 0.6 0.89 1. ] [ 1.2 1.1 0.8 0.6 0.524]]
