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-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