Python | Numpy MaskedArray .__ le__

numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. With the Numpy operator MaskedArray .__ le__ we can determine which element of the array is less than or equal to the value specified in the parameter.

Syntax: numpy.MaskedArray .__ le__

Return: self & lt; = value

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

# import 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 )) 

Exit :

 [True True True True False False] 

Example # 2:

# import 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]]