html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/7239#issuecomment-1494033789,https://api.github.com/repos/pydata/xarray/issues/7239,1494033789,IC_kwDOAMm_X85ZDSV9,85181086,2023-04-03T10:01:52Z,2023-04-03T10:01:52Z,NONE,"a workaround for achieving this would be to use the apply method of xarray data structures along with the expand_dims method. Here's an example of how we can use it:

```
import xarray as xr
dataset = xr.Dataset(data_vars={'foo': 1, 'bar': 2})

# Define a function that expands the given variable along a new dimension
def expand_variable(da):
    if da.name == 'foo':
        return da.expand_dims('zar')
    else:
        return da

# Use the apply method to apply the function to only the desired variables
expanded_dataset = dataset.apply(expand_variable, keep_attrs=True)

print(expanded_dataset)

```
Here, the expand_variable function is defined to only expand the variable with the name 'foo' along a new dimension. The apply method is used to apply this function to each data variable in the dataset, but only 'foo' is actually modified.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1429172192