Skip to main content
`Ctrl`+`K`

# numpy.ma.masked_equal

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

  Mask an array where equal to a given value.

  Return a MaskedArray, masked where the data in array x are equal to value. The fill_value of the returned MaskedArray is set to 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 as np
      >>> 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=2)