numpy.ma.is_masked
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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
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ma.is_masked.html