Python | Numpy MaskedArray.__le__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__le__ operator we can find that which element in an array is less than or equal to the value which is provided in the parameter.

Syntax: numpy.MaskedArray.__le__ Return: self<=value

Example #1 : In this example we can see that after applying MaskedArray.__le__(), we get the simple boolean array that can tell us which element in an array is less than or equal that of provided parameter.

Python3 1==

# 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]) 

# applying MaskedArray.__le__() method 
print(gfg.__le__(4))

Output:

[ True  True  True  True False False]

Example #2:

Python3 1==

# 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], 
                [6, 5, 4, 3, 2, 1]]) 

# applying MaskedArray.__le__() method 
print(gfg.__le__(4))

Output:

[[ True  True  True  True False False]
 [False False  True  True  True  True]]

Python | Numpy MaskedArray.le

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