numpy.ma.masked_less¶
- numpy.ma.masked_less(x, value, copy=True)[source]¶
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)