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Python | Numpy MaskedArray.__le__

  • Last Updated : 27 Mar, 2019
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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.




# 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:




# 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]]

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