numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ge__ operator we can find that which element in an array is greater than or equal to the value which is provided in the parameter.
Syntax: numpy.MaskedArray.__ge__
Return: self>=value
Example #1 :
In this example we can see that after applying MaskedArray.__ge__(), we get the simple boolean array that can tell us which element in an array is greater 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.__ge__() method print(gfg.__ge__(4)) |
Output:
[False False False True True True]
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.__ge__() method print(gfg.__ge__(4)) |
Output:
[[False False False True True True] [ True True True False False False]]
