# xarray.DataArray.to_unstacked_dataset

#### DataArray.to_unstacked_dataset(dim, level=0)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L3192-L3254)

Unstack DataArray to a Dataset along a level of a stacked coordinate.

This is the inverse operation of Dataset.to_stacked_array.

* **Parameters:**
  * **dim** (`Hashable`) – Name of existing dimension to unstack
  * **level** ([`int`](https://docs.python.org/3/builtins/functions.html#int) or `Hashable`, *default*: `0`) – The MultiIndex level to expand to a dataset along. Can either be
    the integer index of the level or its name.
* **Returns:**
  **unstacked** ([`Dataset`](xarray.Dataset.html.md#xarray.Dataset))

#### SEE ALSO
[`Dataset.to_stacked_array`](xarray.Dataset.to_stacked_array.html.md#xarray.Dataset.to_stacked_array)

### Examples

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```pycon
>>> arr = xr.DataArray(
...     np.arange(6).reshape(2, 3),
...     coords=[("x", ["a", "b"]), ("y", [0, 1, 2])],
... )
>>> data = xr.Dataset({"a": arr, "b": arr.isel(y=0)})
>>> data
<xarray.Dataset> Size: 96B
Dimensions:  (x: 2, y: 3)
Coordinates:
  * x        (x) <U1 8B 'a' 'b'
  * y        (y) int64 24B 0 1 2
Data variables:
    a        (x, y) int64 48B 0 1 2 3 4 5
    b        (x) int64 16B 0 3
>>> stacked = data.to_stacked_array("z", ["x"])
>>> stacked.indexes["z"]
MultiIndex([('a', 0.0),
            ('a', 1.0),
            ('a', 2.0),
            ('b', nan)],
           name='z')
>>> roundtripped = stacked.to_unstacked_dataset(dim="z")
>>> data.identical(roundtripped)
True
```

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