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/1631#issuecomment-340535370,https://api.github.com/repos/pydata/xarray/issues/1631,340535370,MDEyOklzc3VlQ29tbWVudDM0MDUzNTM3MA==,23199378,2017-10-30T18:11:58Z,2017-10-30T18:11:58Z,NONE,Thanks for posting this @jhamman.  It's really helping me understand what is going on with my data when I use xarray.  My understanding of Pandas is that it should not by default be interpolating - however I am downsampling and this is stated for upsampling (in _Python for Data Analysis_).  ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,265056503
https://github.com/pydata/xarray/issues/1631#issuecomment-336634555,https://api.github.com/repos/pydata/xarray/issues/1631,336634555,MDEyOklzc3VlQ29tbWVudDMzNjYzNDU1NQ==,4992424,2017-10-14T13:19:58Z,2017-10-14T13:19:58Z,NONE,Thanks for documenting this @jhamman. I think all the logic is in `.resample(...).interpolate()` to build out true interpolation or really imputation/infilling. I can jump in if there's any confusion in the code.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,265056503