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/pull/4155#issuecomment-687776559,https://api.github.com/repos/pydata/xarray/issues/4155,687776559,MDEyOklzc3VlQ29tbWVudDY4Nzc3NjU1OQ==,11018951,2020-09-06T12:27:15Z,2020-09-06T12:27:15Z,NONE,@max-sixty Is there a timeline on when we can expect this feature in a stable release? Is it scheduled for the next minor release and to be made available on `conda` and `pip`?,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-674579300,https://api.github.com/repos/pydata/xarray/issues/4155,674579300,MDEyOklzc3VlQ29tbWVudDY3NDU3OTMwMA==,5323645,2020-08-16T21:18:48Z,2020-08-16T21:48:06Z,NONE,"Gotcha! Yes, it is. If I have many points in lat, lon, depth, and time, I should better chunk my input arrays at this stage to speed up the performance. The reason why I asked this question is I thought chunking the input array to do the interpolation should faster than if I didn't chunk the input array.  But in my test case, it is not.  Please see the attached.

<img width=""1487"" alt=""Screen Shot 2020-08-16 at 4 47 00 PM"" src=""https://user-images.githubusercontent.com/5323645/90344518-1f5bce00-dfe0-11ea-8bd6-6ff66ec684af.png"">

The results I show here is the parallel one way slower than the normal case.  

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-674578856,https://api.github.com/repos/pydata/xarray/issues/4155,674578856,MDEyOklzc3VlQ29tbWVudDY3NDU3ODg1Ng==,5323645,2020-08-16T21:14:46Z,2020-08-16T21:14:46Z,NONE,"@pums974  then how about if we do the interpolation by using chunk input array to the chunk interpolated dimension?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-674577513,https://api.github.com/repos/pydata/xarray/issues/4155,674577513,MDEyOklzc3VlQ29tbWVudDY3NDU3NzUxMw==,5323645,2020-08-16T21:02:50Z,2020-08-16T21:02:50Z,NONE,"@fujiisoup  Thanks for the response. Since I have not updated my xarray package through this beta version. I hope you can answer my additional question for me.  By considering the interpolation, which way is faster? a. chunk the dataset, and then do interpolation or b. chunk the interpolation list and then do interpolation?

a.     

    datax = xr.DataArray(data=da.from_array(np.arange(0, 4), chunks=2),
                         coords={""x"": np.linspace(0, 1, 4)},
                         dims=""x"")
    datay = xr.DataArray(data=da.from_array(np.arange(0, 4), chunks=2),
                         coords={""y"": np.linspace(0, 1, 4)},
                         dims=""y"")
    data = datax * datay

    # both of these interp call fails
    res = datax.interp(x=np.linspace(0, 1))
    print(res.load())

    res = data.interp(x=np.linspace(0, 1), y=0.5)
    print(res.load())

b.     

    datax = xr.DataArray(data=np.arange(0, 4),
                         coords={""x"": np.linspace(0, 1, 4)},
                         dims=""x"")
    datay = xr.DataArray(data=np.arange(0, 4),
                         coords={""y"": np.linspace(0, 1, 4)},
                         dims=""y"")
    data = datax * datay

   x = xr.DataArray(data = da.from_array(np.linspace(0,1), chunks=2), dims='x')
   res = data.interp(x=x)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-674319860,https://api.github.com/repos/pydata/xarray/issues/4155,674319860,MDEyOklzc3VlQ29tbWVudDY3NDMxOTg2MA==,5323645,2020-08-15T00:22:07Z,2020-08-15T00:22:07Z,NONE,"@fujiisoup Thanks for letting me know. But I am still unable to do even though I have updated my xarray via ""conda update xarray"".","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-674288483,https://api.github.com/repos/pydata/xarray/issues/4155,674288483,MDEyOklzc3VlQ29tbWVudDY3NDI4ODQ4Mw==,5323645,2020-08-14T21:57:02Z,2020-08-14T21:57:02Z,NONE,"Hi 
Just curious about this.  I followed the discussion since this issue addressed.  Is this chunk interpolation solved already? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879
https://github.com/pydata/xarray/pull/4155#issuecomment-644178631,https://api.github.com/repos/pydata/xarray/issues/4155,644178631,MDEyOklzc3VlQ29tbWVudDY0NDE3ODYzMQ==,24736507,2020-06-15T14:43:57Z,2020-07-31T18:56:12Z,NONE,"Hello @pums974! Thanks for updating this PR. We checked the lines you've touched for [PEP 8](https://www.python.org/dev/peps/pep-0008) issues, and found:







There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: 

##### Comment last updated at 2020-07-31 18:56:12 UTC","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,638909879