# xarray.Dataset.set_coords

#### Dataset.set_coords(names)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataset.py#L1902-L1957)

Given names of one or more variables, set them as coordinates

* **Parameters:**
  **names** ([hashable](../user-guide/terminology.html.md#term-name) or [iterable](https://docs.python.org/3/glossary.html#term-iterable) of [hashable](../user-guide/terminology.html.md#term-name)) – Name(s) of variables in this dataset to convert into coordinates.

### Examples

<div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesShowIframe('3c308a70-d62c-4727-989e-225ac4cce087','f8e76650-6e6b-44a8-87e8-f69e762b1e24','f18d9863-c06f-43b7-a2e4-f83d5941d608','../lite/tree/../notebooks/index.html?path=46902b41_0b8c_4369_8dea_3a3532ba0b01.ipynb','None')">Try it in your browser!</button></div>
```pycon
>>> dataset = xr.Dataset(
...     {
...         "pressure": ("time", [1.013, 1.2, 3.5]),
...         "time": pd.date_range("2023-01-01", periods=3),
...     }
... )
>>> dataset
<xarray.Dataset> Size: 48B
Dimensions:   (time: 3)
Coordinates:
  * time      (time) datetime64[us] 24B 2023-01-01 2023-01-02 2023-01-03
Data variables:
    pressure  (time) float64 24B 1.013 1.2 3.5
```

```pycon
>>> dataset.set_coords("pressure")
<xarray.Dataset> Size: 48B
Dimensions:   (time: 3)
Coordinates:
  * time      (time) datetime64[us] 24B 2023-01-01 2023-01-02 2023-01-03
    pressure  (time) float64 24B 1.013 1.2 3.5
Data variables:
    *empty*
```

On calling `set_coords` , these data variables are converted to coordinates, as shown in the final dataset.

<div id="f18d9863-c06f-43b7-a2e4-f83d5941d608" class="try_examples_outer_iframe  hidden"><div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesHideIframe('3c308a70-d62c-4727-989e-225ac4cce087','f18d9863-c06f-43b7-a2e4-f83d5941d608')">Go Back</button><button class="try_examples_button" onclick="window.openInNewTab('3c308a70-d62c-4727-989e-225ac4cce087','f18d9863-c06f-43b7-a2e4-f83d5941d608')">Open In Tab</button></div><div id="f8e76650-6e6b-44a8-87e8-f69e762b1e24" class="jupyterlite_sphinx_iframe_container"></div></div><script>document.addEventListener("DOMContentLoaded", function() {window.loadTryExamplesConfig("../try_examples.json");});</script>
* **Returns:**
  [`Dataset`](xarray.Dataset.html.md#xarray.Dataset)

#### SEE ALSO
[`Dataset.swap_dims`](xarray.Dataset.swap_dims.html.md#xarray.Dataset.swap_dims), [`Dataset.assign_coords`](xarray.Dataset.assign_coords.html.md#xarray.Dataset.assign_coords)