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:
Examples
>>> 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']) >>> xs.median_absolute_error(a, b, dim='time') <xarray.DataArray (x: 3, y: 3)> array([[0.28798217, 0.23322591, 0.62067468], [0.12146232, 0.20314509, 0.23442927], [0.59041981, 0.03289321, 0.21343494]]) Dimensions without coordinates: x, y