On this page
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
- 
      - xarray_like
- 
        Array to check for masked values. 
 
- Returns
- 
      - resultbool
- 
        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=0) >>> 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=42) >>> 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
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
 https://numpy.org/doc/1.19/reference/generated/numpy.ma.is_masked.html