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# numpy.ma.intersect1d

ma.intersect1d(ar1, ar2, assume_unique=False)

  Returns the unique elements common to both arrays.

  Masked values are considered equal one to the other. The output is always a masked array.

  See `numpy.intersect1d` for more details.

  See also

  `numpy.intersect1d`

    Equivalent function for ndarrays.

  Examples

      >>> import numpy as np
      >>> x = np.ma.array([1, 3, 3, 3], mask=[0, 0, 0, 1])
      >>> y = np.ma.array([3, 1, 1, 1], mask=[0, 0, 0, 1])
      >>> np.ma.intersect1d(x, y)
      masked_array(data=[1, 3, --],
                   mask=[False, False,  True],
             fill_value=999999)