xskillscore.median_absolute_error¶

xskillscore.median_absolute_error(a, b, dim=None, skipna=False, keep_attrs=False)¶

Median Absolute Error.

\[\mathrm{median}(\vert a - b\vert)\]

Parameters

a (xarray.Dataset or xarray.DataArray) – Labeled array(s) over which to apply the function.
b (xarray.Dataset or xarray.DataArray) – Labeled array(s) over which to apply the function.
dim (str, list) – The dimension(s) to apply the median absolute error along. Note that this dimension will be reduced as a result. Defaults to None reducing all dimensions.
skipna (bool) – If True, skip NaNs when computing function.
keep_attrs (bool) – If True, the attributes (attrs) will be copied from the first input to the new one. If False (default), the new object will be returned without attributes.

Returns

Median Absolute Error.

Return type

xarray.Dataset or xarray.DataArray

Examples

>>> import numpy as np
>>> import xarray as xr
>>> from xskillscore import median_absolute_error
>>> a = xr.DataArray(np.random.rand(5, 3, 3),
                    dims=['time', 'x', 'y'])
>>> b = xr.DataArray(np.random.rand(5, 3, 3),
                    dims=['time', 'x', 'y'])
>>> median_absolute_error(a, b, dim='time')