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# numpy.ma.setdiff1d

ma.setdiff1d(ar1, ar2, assume_unique=False)

  Set difference of 1D arrays with unique elements.

  The output is always a masked array. See `numpy.setdiff1d` for more details.

  See also

  `numpy.setdiff1d`

    Equivalent function for ndarrays.

  Examples

      >>> import numpy as np
      >>> x = np.ma.array([1, 2, 3, 4], mask=[0, 1, 0, 1])
      >>> np.ma.setdiff1d(x, [1, 2])
      masked_array(data=[3, --],
                   mask=[False,  True],
             fill_value=999999)