numpy.ma.masked_equal#

ma.masked_equal(x, value, copy=True)[source]#

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=2)

numpy.ma.fix_invalid

numpy.ma.masked_greater