# xarray.Dataset.drop_sel

#### Dataset.drop_sel(labels=None, , errors='raise', \*\*labels_kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataset.py#L6153-L6230)

Drop index labels from this dataset.

* **Parameters:**
  * **labels** ([mapping](https://docs.python.org/3/glossary.html#term-mapping) of [hashable](../user-guide/terminology.html.md#term-name) 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** ([`Dataset`](xarray.Dataset.html.md#xarray.Dataset))

### Examples

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```pycon
>>> 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
```

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