Python | Numpy MaskedArray.__truediv__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__truediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__truediv__() method.

Syntax: numpy.MaskedArray.__truediv__

Return: Divide other into self, and return a new masked array.

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.__truediv__().

# import the important module in python
import numpy as np

# make an array with numpy
gfg = np.ma.array([22, 33.7, 44.5, 55, 77])

# applying MaskedArray.__truediv__() method
print(gfg.__truediv__(11))

Output:

[2.0 3.063636363636364 4.045454545454546 5.0 7.0]

Example #2:

# import the important module in python
import numpy as np

# make an array with numpy
gfg = np.ma.array([[10, 20, 30, 40, 50],
                [11, 22, 33, 44, 55]])

# applying MaskedArray.__truediv__() method
print(gfg.__truediv__(5))

Output:

[[2.0 4.0 6.0 8.0 10.0]
 [2.2 4.4 6.6 8.8 11.0]]