numpy.MaskedArray.masked_greater_equal() is used to mask an array where it is greater than or equal to a given
masked_where function is a shortcut to
condition = (arr & gt; = 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 & gt; = 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: [1 - - -1 -]
Code # 2:
Input array: [5.0e + 08 3.0 e-05 -4.5e + 01 4.0e + 04 5.0e + 02] Masked array: [- 3e-05 -45.0 - -]
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