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# numpy.ma.masked_equal

`numpy.ma.``masked_equal`(x, value, copy=True)

  Mask an array where equal to a given value.

  This function is a shortcut to `masked_where`, with condition = (x == value). For floating point arrays, consider using `masked_values(x, value)`.

  See also

  `masked_where`
    Mask where a condition is met.
  `masked_values`
    Mask using floating point equality.

  Examples

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