xarray.Dataset.drop_sel#
- Dataset.drop_sel(labels=None, *, errors='raise', **labels_kwargs)[source]#
Drop index labels from this dataset.
- Parameters
errors (
{"raise", "ignore"}
, default:"raise"
) – If ‘raise’, 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 ofdim
andlabels
- Returns
dropped (
Dataset
)
Examples
>>> data = np.arange(6).reshape(2, 3) >>> labels = ["a", "b", "c"] >>> ds = xr.Dataset({"A": (["x", "y"], data), "y": labels}) >>> ds <xarray.Dataset> Size: 60B Dimensions: (x: 2, y: 3) Coordinates: * y (y) <U1 12B 'a' 'b' 'c' Dimensions without coordinates: x Data variables: A (x, y) int64 48B 0 1 2 3 4 5 >>> ds.drop_sel(y=["a", "c"]) <xarray.Dataset> Size: 20B Dimensions: (x: 2, y: 1) Coordinates: * y (y) <U1 4B 'b' Dimensions without coordinates: x Data variables: A (x, y) int64 16B 1 4 >>> ds.drop_sel(y="b") <xarray.Dataset> Size: 40B Dimensions: (x: 2, y: 2) Coordinates: * y (y) <U1 8B 'a' 'c' Dimensions without coordinates: x Data variables: A (x, y) int64 32B 0 2 3 5