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/1650#issuecomment-338786761,https://api.github.com/repos/pydata/xarray/issues/1650,338786761,MDEyOklzc3VlQ29tbWVudDMzODc4Njc2MQ==,703554,2017-10-23T20:29:41Z,2017-10-23T20:29:41Z,CONTRIBUTOR,"Index API sounds good.

Also I was just looking at [dask.dataframe indexing](https://github.com/dask/dask/blob/master/dask/dataframe/indexing.py), there .loc is implemented using information about index values at the boundaries of each partition (chunk). Not sure xarray should use same strategy for chunked datasets, but is another approach to avoid loading indexes into memory. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,267628781
https://github.com/pydata/xarray/issues/1650#issuecomment-338687376,https://api.github.com/repos/pydata/xarray/issues/1650,338687376,MDEyOklzc3VlQ29tbWVudDMzODY4NzM3Ng==,703554,2017-10-23T14:58:59Z,2017-10-23T14:58:59Z,CONTRIBUTOR,"It looks like #1017 is about having no index at all. I want indexes, but I
want to avoid loading all coordinate values into memory.

On Mon, Oct 23, 2017 at 1:47 PM, Fabien Maussion <notifications@github.com>
wrote:

> Has anyone considered implementing an index for monotonic data that does
> not require loading all values into main memory?
>
> But this is already the case? #1017
> <https://github.com/pydata/xarray/pull/1017>
>
> With on file datasets I *think* it is sufficient to drop_variables when
> opening the dataset in order not to parse the coordinates:
>
> ds = xr.open_dataset(f, drop_variables=['lon', 'lat'])
>
> —
> You are receiving this because you authored the thread.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/issues/1650#issuecomment-338647540>, or mute
> the thread
> <https://github.com/notifications/unsubscribe-auth/AAq8QsbZ81N2pKybO1sFHVHK0KTk1aELks5svIrJgaJpZM4QCq62>
> .
>



-- 
Alistair Miles
Head of Epidemiological Informatics
Centre for Genomics and Global Health <http://cggh.org>
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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,267628781
https://github.com/pydata/xarray/issues/1650#issuecomment-338627454,https://api.github.com/repos/pydata/xarray/issues/1650,338627454,MDEyOklzc3VlQ29tbWVudDMzODYyNzQ1NA==,703554,2017-10-23T11:19:30Z,2017-10-23T11:19:30Z,CONTRIBUTOR,"Just to add a further thought, which is that the upper levels of the binary search tree could be be cached to get faster performance for repeated searches.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,267628781