numpy.ma.masked_equal#
- ma.masked_equal(x, value, copy=True)[source]#
Mask an array where equal to a given value.
Return a MaskedArray, masked where the data in array x are equal to value. The fill_value of the returned MaskedArray is set to 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)