dask.array.ma.masked_equal

dask.array.ma.masked_equal¶

dask.array.ma.masked_equal(a, value)[source]¶

Mask an array where equal to a given value.

This docstring was copied from numpy.ma.masked_equal.

Some inconsistencies with the Dask version may exist.

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)

dask.array.ma.masked_array

dask.array.ma.masked_greater