id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1884314681,I_kwDOAMm_X85wUFw5,8152,Different ylim and xlim for axes whem making column/row faceted plots,8282981,closed,1,,,2,2023-09-06T15:57:46Z,2023-09-10T11:15:53Z,2023-09-10T11:15:53Z,NONE,,,,"### What is your issue?

I am plotting on multiple axes using the col keyword but I want to be able to pass different arguments (xticks, xlim etc.) for the different axes. There doesn't seem to be a method to do that. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8152/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1865075812,I_kwDOAMm_X85vKsxk,8110,Open large dataset without loading the whole file in RAM,8282981,closed,1,,,2,2023-08-24T12:41:41Z,2023-08-24T21:49:38Z,2023-08-24T21:49:38Z,NONE,,,,"### What is your issue?

Is it possible to load a large dataset (larger than available RAM) by providing preconditions similar to standard indexing (for example, sel(dim_x = value))? If not, is it possible to add this functionality?

I am planning to use xarray to store data gathered from neuroscience experiments that tend to by quite large and might come across this issue.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8110/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue