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/4241#issuecomment-662517426,https://api.github.com/repos/pydata/xarray/issues/4241,662517426,MDEyOklzc3VlQ29tbWVudDY2MjUxNzQyNg==,1197350,2020-07-22T15:22:51Z,2020-07-22T15:22:51Z,MEMBER,"> The reason is that my function here must be applied along the time dimension (e.g., a rolling median in time), but my data is chunked across the time dimension

This is a fundamental problem that is rather hard to solve without creating a copy of the data.

We just released the [rechunker](https://rechunker.readthedocs.io/en/latest/) package, which makes it easy to create a copy of your data with a different chunking scheme (e.g contiguous in time, chunked in space). If you have enough disk space to store a copy, this might be a good solution.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,662982199