xarray.Dataset.drop_sel¶
-
Dataset.
drop_sel
(labels=None, *, errors='raise', **labels_kwargs)¶ Drop index labels from this dataset.
- Parameters
labels (Mapping[Hashable, Any]) – Index labels to drop
errors ({'raise', 'ignore'}, optional) – If ‘raise’ (default), raises a ValueError error if any of the index labels passed are not in the dataset. If ‘ignore’, any given labels that are in the dataset are dropped and no error is raised.
**labels_kwargs ({dim: label, ..}, optional) – The keyword arguments form of
dim
andlabels
- Returns
dropped
- Return type
Examples
>>> data = np.random.randn(2, 3) >>> labels = ["a", "b", "c"] >>> ds = xr.Dataset({"A": (["x", "y"], data), "y": labels}) >>> ds.drop_sel(y=["a", "c"]) <xarray.Dataset> Dimensions: (x: 2, y: 1) Coordinates: * y (y) <U1 'b' Dimensions without coordinates: x Data variables: A (x, y) float64 -0.3454 0.1734 >>> ds.drop_sel(y="b") <xarray.Dataset> Dimensions: (x: 2, y: 2) Coordinates: * y (y) <U1 'a' 'c' Dimensions without coordinates: x Data variables: A (x, y) float64 -0.3944 -1.418 1.423 -1.041