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/265#issuecomment-76900161,https://api.github.com/repos/pydata/xarray/issues/265,76900161,MDEyOklzc3VlQ29tbWVudDc2OTAwMTYx,1217238,2015-03-03T07:38:29Z,2015-03-03T07:38:29Z,MEMBER,"Note: this is fixed in the newly released v0.4.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46750605
https://github.com/pydata/xarray/issues/265#issuecomment-60410597,https://api.github.com/repos/pydata/xarray/issues/265,60410597,MDEyOklzc3VlQ29tbWVudDYwNDEwNTk3,358378,2014-10-24T16:17:26Z,2014-10-24T16:17:26Z,CONTRIBUTOR,"Thanks!
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46750605
https://github.com/pydata/xarray/issues/265#issuecomment-60410236,https://api.github.com/repos/pydata/xarray/issues/265,60410236,MDEyOklzc3VlQ29tbWVudDYwNDEwMjM2,1217238,2014-10-24T16:14:49Z,2014-10-24T16:14:49Z,MEMBER,"See the example of using `reduce` and the warning here: http://xray.readthedocs.org/en/stable/computation.html#aggregation

I do want to enable missing value computations by default, but haven't gotten around to it yet. Possibly in v0.4?

In particular, one thing I wanted was fast missing value aggregation when aggregating simultaneously over multiple dimensions at once. This is now possible with [Numbagg](https://github.com/shoyer/numbagg), but wasn't with Bottleneck (both are significantly faster than pure Numpy).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46750605