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/1247#issuecomment-277344856,https://api.github.com/repos/pydata/xarray/issues/1247,277344856,MDEyOklzc3VlQ29tbWVudDI3NzM0NDg1Ng==,1217238,2017-02-03T19:50:10Z,2017-02-03T19:50:10Z,MEMBER,"@vnoel Yes, I think this is most easily fixed upstream","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205215815
https://github.com/pydata/xarray/issues/1247#issuecomment-277323562,https://api.github.com/repos/pydata/xarray/issues/1247,277323562,MDEyOklzc3VlQ29tbWVudDI3NzMyMzU2Mg==,1217238,2017-02-03T18:26:33Z,2017-02-03T19:49:40Z,MEMBER,"There's an underlying NumPy issue here for why this is slow (https://github.com/numpy/numpy/issues/8562).

For `histogram2d` in particular, this could be fixed in NumPy by calling `np.asarray` on each of `x` and `y` before passing them to [`histogramdd`](https://github.com/numpy/numpy/blob/v1.12.0/numpy/lib/twodim_base.py#L649).","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205215815