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/439#issuecomment-212940728,https://api.github.com/repos/pydata/xarray/issues/439,212940728,MDEyOklzc3VlQ29tbWVudDIxMjk0MDcyOA==,141709,2016-04-21T14:23:54Z,2016-04-21T14:23:54Z,CONTRIBUTOR,"Would it not make sense to use a pandas.DatetimeIndex instead of pure-numpy datetimes? It seems that DatetimeIndex already solves lots of the weirdness in the underlying numpy datetime objects and adds a bunch of useful functionality for things like groupby operations.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,89866276
https://github.com/pydata/xarray/issues/191#issuecomment-206155779,https://api.github.com/repos/pydata/xarray/issues/191,206155779,MDEyOklzc3VlQ29tbWVudDIwNjE1NTc3OQ==,141709,2016-04-06T06:52:47Z,2016-04-06T06:52:47Z,CONTRIBUTOR,"Ok, I'll extend this into a pull request one of these days
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,38849807
https://github.com/pydata/xarray/issues/191#issuecomment-204418102,https://api.github.com/repos/pydata/xarray/issues/191,204418102,MDEyOklzc3VlQ29tbWVudDIwNDQxODEwMg==,141709,2016-04-01T14:32:40Z,2016-04-01T14:32:40Z,CONTRIBUTOR,"I've written a wrapper around scipy's `map_coordinates`. I cleaned this up a bit and pushed it here: https://github.com/sjpfenninger/xray/commit/0e0d88d6dc6f428d24ae3df2161ff10deded2a5a

It's not exactly fully-featured but scratches the itch I had, which is to pass DataArrays through map_coordinates with support for xarray's coordinates.

@shoyer If this seems of use, I could add some tests and perhaps an example, then submit a pull request?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,38849807
https://github.com/pydata/xarray/issues/316#issuecomment-73732815,https://api.github.com/repos/pydata/xarray/issues/316,73732815,MDEyOklzc3VlQ29tbWVudDczNzMyODE1,141709,2015-02-10T16:37:16Z,2015-02-10T16:37:16Z,CONTRIBUTOR,"I noticed that you already have a fallback option and I simply made use of that, which solves this problem in a way that looks reasonable to me.

However, I'm still not quite happy with the way errors were/are handled: before this change, reading a file with the non-standard datetime format would work without errors, but trying to do anything with the dataset after opening it would produce a ValueError, which from an end-user perspective doesn't help much to figure out where the error is coming from.

I suppose with the change in my PR, for cases where python-netCDF4 is not installed, one would instead get an ImportError without explanation (one wouldn't know why we tried to import the optional dependency). Maybe something like a wrapper to import netCDF4 which raises a context-specific ImportError message would be useful?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,56817968
https://github.com/pydata/xarray/issues/316#issuecomment-73519971,https://api.github.com/repos/pydata/xarray/issues/316,73519971,MDEyOklzc3VlQ29tbWVudDczNTE5OTcx,141709,2015-02-09T14:47:39Z,2015-02-09T14:47:39Z,CONTRIBUTOR,"I think falling back to `netcdftime` would be preferrable to a `datetime_format` argument since it would just automagically work (although a `datetime_format` could be useful for other, trickier netCDF files). I could have a go at doing this later in the week and submit a PR, if it's helpful.
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