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]]
