numpy.MaskedArray.masked_less_equal() is used to mask an array where the value is less than or equal to the specified
masked_where function is a shortcut to
condition = (arr & lt; = value).
numpy.ma. masked_greater_equal (arr, value, copy = True)
arr: [ndarray] Input array which we want to mask.
value: [int] It is used to mask the array element which are & lt; = value.
copy: [bool ] If True (default) make a copy of arr in the result. If False modify arr in place and return a view.
Return: [MaskedArray] The resultant array after masking.
Code # 1:
Input array: [1 2 3 -1 2] Masked array: [- - 3 - -]
Code # 2:
Input array: [5.0e + 08 3.0e-05 -4.5e + 01 4.0e + 04 5.0e + 02] Masked array: [500000000.0 - - 40000.0 -]
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