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/2241#issuecomment-632337326,https://api.github.com/repos/pydata/xarray/issues/2241,632337326,MDEyOklzc3VlQ29tbWVudDYzMjMzNzMyNg==,26384082,2020-05-21T20:48:13Z,2020-05-21T20:48:13Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,334366223
https://github.com/pydata/xarray/issues/2241#issuecomment-399192741,https://api.github.com/repos/pydata/xarray/issues/2241,399192741,MDEyOklzc3VlQ29tbWVudDM5OTE5Mjc0MQ==,1386642,2018-06-21T18:03:05Z,2018-06-21T18:03:05Z,CONTRIBUTOR,"Thanks for the tips everyone. From the dask issue above, it appears that `dask.reshape` does not respect the boundaries of chunks. Therefore, pulling the first chunk of the stacked array requires pulling several chunks from the original un-reshaped data. This is a bit odd because the first chunk of the stacked array could just be a reshaped version of the first chunk from the unstacked array.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,334366223
https://github.com/pydata/xarray/issues/2241#issuecomment-399190064,https://api.github.com/repos/pydata/xarray/issues/2241,399190064,MDEyOklzc3VlQ29tbWVudDM5OTE5MDA2NA==,5635139,2018-06-21T17:53:58Z,2018-06-21T17:53:58Z,MEMBER,"On that thread, quick shout out for https://github.com/joerick/pyinstrument, which I've found very intuitive for working out where in the stack is taking time; particularly when a function higher in the stack is calling fast functions many times","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,334366223
https://github.com/pydata/xarray/issues/2241#issuecomment-399181992,https://api.github.com/repos/pydata/xarray/issues/2241,399181992,MDEyOklzc3VlQ29tbWVudDM5OTE4MTk5Mg==,1197350,2018-06-21T17:26:58Z,2018-06-21T17:26:58Z,MEMBER,"`%prun` and [snakeviz](https://jiffyclub.github.io/snakeviz/) are very useful for performance analysis. When debugging dask performance, I also find it very useful to call `.visualize()` on the dask array. That shows you how dask is doing its thing under the hood.

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,334366223