Python | Numpy MaskedArray.__rand__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rand__ method we can get the elements that is anded by the value that is provided as a parameter.

Syntax: numpy.MaskedArray.__rand__

Return: Return value&self.

Example #1 :
In this example we can see that every element is anded by the value that is passed as a parameter.

# import the important module in python
import numpy as np

# make an array with numpy
gfg = np.ma.array([1, 2, 3, 4, 5])

# applying MaskedArray.__rand__() method
print(gfg.__rand__(2))

Output:

[0 2 2 0 0]

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, 5],
                [6, 5, 4, 3, 2]])

# applying MaskedArray.__rand__() method
print(gfg.__rand__(1))

Output:

[[1 0 1 0 1]
 [0 1 0 1 0]]