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/2139#issuecomment-389622523,https://api.github.com/repos/pydata/xarray/issues/2139,389622523,MDEyOklzc3VlQ29tbWVudDM4OTYyMjUyMw==,10137,2018-05-16T18:37:24Z,2018-05-16T18:37:24Z,NONE,Does that sound like it will play well with GeoViews if I want widgets for the categorical vars?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742
https://github.com/pydata/xarray/issues/2139#issuecomment-389622155,https://api.github.com/repos/pydata/xarray/issues/2139,389622155,MDEyOklzc3VlQ29tbWVudDM4OTYyMjE1NQ==,10137,2018-05-16T18:36:17Z,2018-05-16T18:36:17Z,NONE,Ok. Looks like the way forward is a netCDF file for each level of my categorical variables. Will give it a shot.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742
https://github.com/pydata/xarray/issues/2139#issuecomment-389618279,https://api.github.com/repos/pydata/xarray/issues/2139,389618279,MDEyOklzc3VlQ29tbWVudDM4OTYxODI3OQ==,10137,2018-05-16T18:24:02Z,2018-05-16T18:24:02Z,NONE,"@shoyer Thank you. Does metacsv look likely to work to you? It has attracted almost no attention so I wonder if it will exhaust memory. I'm kind of surprised this path (csv -> xarray) isn't better fleshed out as I would have expected it to be very common, perhaps the most common esp. for ""found data.""","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742
https://github.com/pydata/xarray/issues/2139#issuecomment-389596244,https://api.github.com/repos/pydata/xarray/issues/2139,389596244,MDEyOklzc3VlQ29tbWVudDM4OTU5NjI0NA==,10137,2018-05-16T17:13:11Z,2018-05-16T17:13:11Z,NONE,This looks potentially helpful http://metacsv.readthedocs.io/en/latest/,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742
https://github.com/pydata/xarray/issues/2139#issuecomment-389592602,https://api.github.com/repos/pydata/xarray/issues/2139,389592602,MDEyOklzc3VlQ29tbWVudDM4OTU5MjYwMg==,10137,2018-05-16T17:01:37Z,2018-05-16T17:01:37Z,NONE,PS: I started with Dask but haven't found a way to go from Dask to xarray.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742
https://github.com/pydata/xarray/issues/2139#issuecomment-389592243,https://api.github.com/repos/pydata/xarray/issues/2139,389592243,MDEyOklzc3VlQ29tbWVudDM4OTU5MjI0Mw==,10137,2018-05-16T17:00:24Z,2018-05-16T17:00:24Z,NONE,"Hi @jhamman The original data is literally just a flat csv file with ie: lat,lon,epoch,cat1,cat2,var1,var2,...,var50 with 1 billion rows.

I'm looking to xarray for GeoViews, which I think would benefit from having the data properly grouped/indexed by its categories","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323703742