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)