drop_sel

UnitsAwareDataArray.drop_sel(labels: Mapping[Any, Any] | None = None, *, errors: ErrorOptions = 'raise', **labels_kwargs) → Self

Drop index labels from this DataArray.

Parameters:

  • labels (mapping of Hashable to Any) – Index labels to drop

  • 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 of dim and labels

Returns:

dropped

Return type:

DataArray

Examples

>>> da = xr.DataArray(
...     np.arange(25).reshape(5, 5),
...     coords={"x": np.arange(0, 9, 2), "y": np.arange(0, 13, 3)},
...     dims=("x", "y"),
... )
>>> da
<xarray.DataArray (x: 5, y: 5)> Size: 200B
array([[ 0,  1,  2,  3,  4],
       [ 5,  6,  7,  8,  9],
       [10, 11, 12, 13, 14],
       [15, 16, 17, 18, 19],
       [20, 21, 22, 23, 24]])
Coordinates:
  * x        (x) int64 40B 0 2 4 6 8
  * y        (y) int64 40B 0 3 6 9 12

>>> da.drop_sel(x=[0, 2], y=9)
<xarray.DataArray (x: 3, y: 4)> Size: 96B
array([[10, 11, 12, 14],
       [15, 16, 17, 19],
       [20, 21, 22, 24]])
Coordinates:
  * x        (x) int64 24B 4 6 8
  * y        (y) int64 32B 0 3 6 12

>>> da.drop_sel({"x": 6, "y": [0, 3]})
<xarray.DataArray (x: 4, y: 3)> Size: 96B
array([[ 2,  3,  4],
       [ 7,  8,  9],
       [12, 13, 14],
       [22, 23, 24]])
Coordinates:
  * x        (x) int64 32B 0 2 4 8
  * y        (y) int64 24B 6 9 12