numpy.ma.is_masked¶
- 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