numpy.ma.masked_equal¶
-
numpy.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 usingmasked_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)