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/2676#issuecomment-455951765,https://api.github.com/repos/pydata/xarray/issues/2676,455951765,MDEyOklzc3VlQ29tbWVudDQ1NTk1MTc2NQ==,15742456,2019-01-21T05:22:34Z,2019-01-21T05:22:34Z,NONE,@dcherian   Thanks a lot.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,399309171
https://github.com/pydata/xarray/issues/2676#issuecomment-455909733,https://api.github.com/repos/pydata/xarray/issues/2676,455909733,MDEyOklzc3VlQ29tbWVudDQ1NTkwOTczMw==,15742456,2019-01-20T22:45:15Z,2019-01-20T22:45:15Z,NONE,Any idea if Xarray will incorporate more Numpy/Scipy functions in the future. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,399309171
https://github.com/pydata/xarray/issues/2676#issuecomment-455906272,https://api.github.com/repos/pydata/xarray/issues/2676,455906272,MDEyOklzc3VlQ29tbWVudDQ1NTkwNjI3Mg==,15742456,2019-01-20T21:56:54Z,2019-01-20T21:56:54Z,NONE,"Thanks ... 
I am wondering if I used Numpy/Scipy functions on Xarray.data, will such computation is performed under the umbrella of Dask (Lazy evaluation)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,399309171
https://github.com/pydata/xarray/issues/2676#issuecomment-455328352,https://api.github.com/repos/pydata/xarray/issues/2676,455328352,MDEyOklzc3VlQ29tbWVudDQ1NTMyODM1Mg==,15742456,2019-01-17T20:54:17Z,2019-01-17T20:55:48Z,NONE,"Thanks a lot for your answer. I am a novice to Xarray, and I am a heavy user of NumPy. Numpy FFT function works fine with Xarray variables, yet it returns NumPy array.  NumPy reshape function, as mentioned above, does not work with Xarray variable.  I am not yet able to get the big picture of how to use the power of Xarray and at the same time be able to use the math/statistics function of Numpy/SciPy. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,399309171