Python | Numpy MaskedArray.__lt__

Last Updated : 13 May, 2022
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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.__lt__ operator we can find that which element in an array is less than the value which is provided in the parameter.

Syntax: numpy.MaskedArray.__lt__ 

Return: self<value.

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

Python3 
# 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.__lt__() method 
print(gfg.__lt__(4))
Output:
[ True  True  True False False False]

  Example #2: 

Python3 
# 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.__lt__() method 
print(gfg.__lt__(4))
Output:
[[ True  True  True False False False]
 [False False False  True  True  True]]

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Python | Numpy MaskedArray.__ge__

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