This is documentation for an old release of NumPy (version 1.4.). Read this page in the documentation of the latest stable release (version > 1.17).
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
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)