numpy.ma.masked_less

numpy.ma.masked_less(x, value, copy=True)

Mask an array where less than a given value.

This function is a shortcut to masked_where, with condition = (x < value).

See also

masked_where

Mask where a condition is met.

Examples

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