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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 - 
           
 
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 https://docs.scipy.org/doc/numpy-1.16.1/reference/generated/numpy.ma.is_masked.html