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/3981#issuecomment-665216474,https://api.github.com/repos/pydata/xarray/issues/3981,665216474,MDEyOklzc3VlQ29tbWVudDY2NTIxNjQ3NA==,83442,2020-07-28T18:54:11Z,2020-07-28T18:54:11Z,NONE,"To add another use case, the [NiBabel](https://github.com/nipy/nibabel/) package has considered how to label axes (https://github.com/nipy/nibabel/wiki/BIAP6, https://github.com/nipy/nibabel/issues/412), but it's fallen by the wayside. We considered xarray when it was still xray, but the pandas dependency has always been a sticking point. This is partially due to a desire to keep dependencies minimal, and partly due to the size of pandas causing significant overhead at import time for what is a relatively small component.

If it's useful to go further into our use case, we can, but this is just to put in a vote for making pandas an optional dependency, if possible.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,602256880