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 xis 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) FalseAlways returns False if xisn’t a MaskedArray.>>> x = [False, True, False] >>> ma.is_masked(x) False >>> x = 'a string' >>> ma.is_masked(x) False 
- 
    © 2005–2019 NumPy Developers
Licensed under the 3-clause BSD License.
    https://docs.scipy.org/doc/numpy-1.16.1/reference/generated/numpy.ma.is_masked.html