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/815#issuecomment-207890803,https://api.github.com/repos/pydata/xarray/issues/815,207890803,MDEyOklzc3VlQ29tbWVudDIwNzg5MDgwMw==,1217238,2016-04-10T00:33:25Z,2016-04-10T00:33:25Z,MEMBER,"Thanks @pwolfram !
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-205406043,https://api.github.com/repos/pydata/xarray/issues/815,205406043,MDEyOklzc3VlQ29tbWVudDIwNTQwNjA0Mw==,1217238,2016-04-04T17:28:12Z,2016-04-04T17:28:12Z,MEMBER,"looks good to me other than a few nits
Please also add a release note crediting yourself!
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-204564456,https://api.github.com/repos/pydata/xarray/issues/815,204564456,MDEyOklzc3VlQ29tbWVudDIwNDU2NDQ1Ng==,1217238,2016-04-01T21:00:31Z,2016-04-01T21:00:31Z,MEMBER,"+1 for drop=True
On Fri, Apr 1, 2016 at 1:59 PM, Phillip Wolfram notifications@github.com
wrote:
> @shoyer https://github.com/shoyer et al, I think @MaximilianR
> https://github.com/MaximilianR's suggestion makes sense. This would
> reduce the amount of code that has to be accounted for too and would be
> cleaner. Essentially have this method be called via array.where(mask,
> drop=True) instead of array.sel_where(mask).
>
> All feedback on this proposal welcome.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly or view it on GitHub
> https://github.com/pydata/xarray/pull/815#issuecomment-204564228
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-204527062,https://api.github.com/repos/pydata/xarray/issues/815,204527062,MDEyOklzc3VlQ29tbWVudDIwNDUyNzA2Mg==,1217238,2016-04-01T19:08:46Z,2016-04-01T19:10:15Z,MEMBER,"@MaximilianR In [this example](https://github.com/pydata/xarray/issues/501#issuecomment-126461466) I used `where` to produce a map:
```
>>> ds.states.where(ds.states == state_ids['California']).plot()
```
If I used `sel_where`, the plot would be automatically trimmed. That's the main usecase here. I don't think there is an equivalent shortcut in pandas.
@fmaussion that's correct that you cannot do lazy computation with the result of `nonzero` on a dask array. However, computing `nonzero` itself could be an expensive operation if the mask is large, and we could do that with dask.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-204519675,https://api.github.com/repos/pydata/xarray/issues/815,204519675,MDEyOklzc3VlQ29tbWVudDIwNDUxOTY3NQ==,1217238,2016-04-01T18:50:41Z,2016-04-01T18:50:57Z,MEMBER,"At some point it might be useful to be able to use dask to compute the mask (with `mask.data.nonzero()`), so I made an issue for that: https://github.com/dask/dask/issues/1076
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-204499751,https://api.github.com/repos/pydata/xarray/issues/815,204499751,MDEyOklzc3VlQ29tbWVudDIwNDQ5OTc1MQ==,1217238,2016-04-01T18:14:42Z,2016-04-01T18:14:42Z,MEMBER,"Yes, expanding the section on ""where"" seems like the right place to put
this.
On Fri, Apr 1, 2016 at 11:08 AM, Phillip Wolfram notifications@github.com
wrote:
> @shoyer https://github.com/shoyer, I haven't added any specific
> documentation. Would you recommend doing so and if so, should this go near
> here https://github.com/pydata/xarray/blame/master/doc/indexing.rst#L265?
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly or view it on GitHub
> https://github.com/pydata/xarray/pull/815#issuecomment-204498369
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