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/587#issuecomment-143236697,https://api.github.com/repos/pydata/xarray/issues/587,143236697,MDEyOklzc3VlQ29tbWVudDE0MzIzNjY5Nw==,1217238,2015-09-25T14:21:23Z,2015-09-25T14:21:23Z,MEMBER,"To answer your last question, xray natively supports IO from netCDF/HDF5 and OpenDAP. We leave CSV parsing to pandas. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,108126287 https://github.com/pydata/xarray/issues/587#issuecomment-143236349,https://api.github.com/repos/pydata/xarray/issues/587,143236349,MDEyOklzc3VlQ29tbWVudDE0MzIzNjM0OQ==,1217238,2015-09-25T14:20:01Z,2015-09-25T14:20:01Z,MEMBER,"To map unambiguously to the xray data model, an external dataset needs to be explicitly labeled with axis names and tick labels. Pandas dataframes, for example, only make sense because they are explicitly labeled by an index (row labels). As far as I can tell, tabular data packages does not describe data with such labels, but rather does generic tabular data. That's great, but xray is a not a tool for generic tabular data (it requires more structure), and importing this data through our interface to pandas provides a clean way to indicate this structure ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,108126287 https://github.com/pydata/xarray/issues/587#issuecomment-142956698,https://api.github.com/repos/pydata/xarray/issues/587,142956698,MDEyOklzc3VlQ29tbWVudDE0Mjk1NjY5OA==,1217238,2015-09-24T15:06:53Z,2015-09-24T15:06:53Z,MEMBER,"In what contexts would it make sense for xray to directly read and write these formats? We have first class support for reading/writing pandas data frames, which generally seems like a much better fit for generic tabular data. If tabular data packages has direct support for multi-dimensional arrays then this could make sense. Otherwise, users probably should be explicitly converting to and from tabular formats. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,108126287