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/2605#issuecomment-561372979,https://api.github.com/repos/pydata/xarray/issues/2605,561372979,MDEyOklzc3VlQ29tbWVudDU2MTM3Mjk3OQ==,12862013,2019-12-03T21:50:53Z,2019-12-03T21:50:53Z,CONTRIBUTOR,I will create a WIP pull request tommorow.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,390774883
https://github.com/pydata/xarray/issues/2605#issuecomment-554998976,https://api.github.com/repos/pydata/xarray/issues/2605,554998976,MDEyOklzc3VlQ29tbWVudDU1NDk5ODk3Ng==,12862013,2019-11-18T12:41:33Z,2019-11-18T12:41:33Z,CONTRIBUTOR,"@dcherian Thx! I found the `Variable.pad_with_fill_value` already, but I will also have a look at rolling and coarsen.

I have some questions related to this issue, I hope this is the correct place to ask those:

Dask added the pad method in version 1.7.0 according to its documentation. What is the minimum version of Dask that should be supported, I found Dask=1.2 is the continuous integration requirements.

Also, how should I handle implementation differences between numpy and Dask? E.g. in the current version of Dask and numpy I'm using: `mode=""mean""` converts an array of integers to floats in Dask, but in numpy it keeps it an array of integers.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,390774883
https://github.com/pydata/xarray/issues/2605#issuecomment-549058104,https://api.github.com/repos/pydata/xarray/issues/2605,549058104,MDEyOklzc3VlQ29tbWVudDU0OTA1ODEwNA==,12862013,2019-11-02T16:16:27Z,2019-11-02T16:16:27Z,CONTRIBUTOR,Has some1 started working on this? I thought I might give it a try ;-),"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,390774883