numpy.ma.is_masked — NumPy v1.13 Manual (original) (raw)
numpy.ma. is_masked(x)[source]¶
Determine whether input has masked values.
Accepts any object as input, but always returns False unless the input is a MaskedArray containing masked values.
| Parameters: | x : array_like Array to check for masked values. |
|---|---|
| Returns: | result : bool True if x is a MaskedArray with masked values, False otherwise. |
Examples
import numpy.ma as ma x = ma.masked_equal([0, 1, 0, 2, 3], 0) x masked_array(data = [-- 1 -- 2 3], mask = [ True False True False False], fill_value=999999) ma.is_masked(x) True x = ma.masked_equal([0, 1, 0, 2, 3], 42) x masked_array(data = [0 1 0 2 3], mask = False, fill_value=999999) ma.is_masked(x) False
Always returns False if x isn’t a MaskedArray.
x = [False, True, False] ma.is_masked(x) False x = 'a string' ma.is_masked(x) False