# xarray.Dataset.tail

#### Dataset.tail(indexers=None, \*\*indexers_kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataset.py#L3244-L3334)

Return a new dataset with the last n values of each array.

The values are selected along the specified dimension(s).

* **Parameters:**
  * **indexers** ([`dict`](https://docs.python.org/3/builtins/stdtypes.html#dict) or [`int`](https://docs.python.org/3/builtins/functions.html#int), *default*: `5`) – A dict with keys matching dimensions and integer values n
    or a single integer n applied over all dimensions.
    One of indexers or indexers_kwargs must be provided.
  * **\*\*indexers_kwargs** (`{dim: n, ...}`, *optional*) – The keyword arguments form of `indexers`.
    One of indexers or indexers_kwargs must be provided.

#### SEE ALSO
[`Dataset.head`](xarray.Dataset.head.html.md#xarray.Dataset.head), [`Dataset.thin`](xarray.Dataset.thin.html.md#xarray.Dataset.thin), [`DataArray.tail`](xarray.DataArray.tail.html.md#xarray.DataArray.tail)

### Examples

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```pycon
>>> activity_names = ["Walking", "Running", "Cycling", "Swimming", "Yoga"]
>>> durations = [30, 45, 60, 45, 60]  # in minutes
>>> energies = [150, 300, 250, 400, 100]  # in calories
>>> dataset = xr.Dataset(
...     {
...         "duration": (["activity"], durations),
...         "energy_expenditure": (["activity"], energies),
...     },
...     coords={"activity": activity_names},
... )
>>> sorted_dataset = dataset.sortby("energy_expenditure", ascending=False)
>>> sorted_dataset
<xarray.Dataset> Size: 240B
Dimensions:             (activity: 5)
Coordinates:
  * activity            (activity) <U8 160B 'Swimming' 'Running' ... 'Yoga'
Data variables:
    duration            (activity) int64 40B 45 45 60 30 60
    energy_expenditure  (activity) int64 40B 400 300 250 150 100
```

# Activities with the least energy expenditures using tail()

```pycon
>>> sorted_dataset.tail(3)
<xarray.Dataset> Size: 144B
Dimensions:             (activity: 3)
Coordinates:
  * activity            (activity) <U8 96B 'Cycling' 'Walking' 'Yoga'
Data variables:
    duration            (activity) int64 24B 60 30 60
    energy_expenditure  (activity) int64 24B 250 150 100
```

```pycon
>>> sorted_dataset.tail({"activity": 3})
<xarray.Dataset> Size: 144B
Dimensions:             (activity: 3)
Coordinates:
  * activity            (activity) <U8 96B 'Cycling' 'Walking' 'Yoga'
Data variables:
    duration            (activity) int64 24B 60 30 60
    energy_expenditure  (activity) int64 24B 250 150 100
```

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