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/486#issuecomment-349016244,https://api.github.com/repos/pydata/xarray/issues/486,349016244,MDEyOklzc3VlQ29tbWVudDM0OTAxNjI0NA==,1217238,2017-12-04T16:27:51Z,2017-12-04T16:27:51Z,MEMBER,"For nearest-neighbor style resampling, we already have support for 1-dimensional resampling in `.reindex()`/`.sel()`. It would feel pretty natural to add support for N-dimensional resampling, too, if those lookups can use an index of some sort (i.e., a KDTree) to do things efficiently.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/486#issuecomment-348163073,https://api.github.com/repos/pydata/xarray/issues/486,348163073,MDEyOklzc3VlQ29tbWVudDM0ODE2MzA3Mw==,1217238,2017-11-30T11:34:19Z,2017-11-30T11:34:19Z,MEMBER,@mraspaud of pyresample expressed interest to me offline about bringing some of pyresample's resampling features into xarray -- welcome to the conversation!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/486#issuecomment-272585787,https://api.github.com/repos/pydata/xarray/issues/486,272585787,MDEyOklzc3VlQ29tbWVudDI3MjU4NTc4Nw==,1217238,2017-01-14T00:43:35Z,2017-01-14T00:43:35Z,MEMBER,"> Is there a style guide that I can/should follow? Something like this: https://google.github.io/styleguide/pyguide.html? Does it or something else define naming conventions?

It's pretty standard to follow Python's PEP8 with NumPy-style docstrings.

I generally like the Google style guide, too, but it leans towards being overly strict -- sometimes it's OK to be more relaxed (e.g., it's rules for valid `import` statements). Also, the public facing version has gotten out of date (I think there are plans to update it).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612
https://github.com/pydata/xarray/issues/486#issuecomment-123405417,https://api.github.com/repos/pydata/xarray/issues/486,123405417,MDEyOklzc3VlQ29tbWVudDEyMzQwNTQxNw==,1217238,2015-07-21T17:10:34Z,2015-07-21T17:10:34Z,MEMBER,"Indeed, SciPy's `ndimage.interpolation.zoom` would probably be more appropriate (and faster) for regular grids.

Xray currently doesn't have any built-in support for handling projected data, but basic selection and regridding (from explicit arrays of 2D coordinates) seems in scope for the project.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,96211612