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  • Low memory/out-of-core index? · 3 ✖

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338779368 https://github.com/pydata/xarray/issues/1650#issuecomment-338779368 https://api.github.com/repos/pydata/xarray/issues/1650 MDEyOklzc3VlQ29tbWVudDMzODc3OTM2OA== shoyer 1217238 2017-10-23T20:02:12Z 2017-10-23T20:02:12Z MEMBER

This should be easier after the index/coordinates separation envisioned in https://github.com/pydata/xarray/issues/1603. We could potentially define a basic index API (based on what we currently use from pandas) and allow alternative index implementations. There are certainly other use cases where go beyond pandas makes sense -- a KDTree for indexing geospatial data is one obvious example.

 
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   Low memory/out-of-core index? 267628781
338662290 https://github.com/pydata/xarray/issues/1650#issuecomment-338662290 https://api.github.com/repos/pydata/xarray/issues/1650 MDEyOklzc3VlQ29tbWVudDMzODY2MjI5MA== rabernat 1197350 2017-10-23T13:40:53Z 2017-10-23T13:40:53Z MEMBER

This is related to the performance issue documented in #1385.

 
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   Low memory/out-of-core index? 267628781
338647540 https://github.com/pydata/xarray/issues/1650#issuecomment-338647540 https://api.github.com/repos/pydata/xarray/issues/1650 MDEyOklzc3VlQ29tbWVudDMzODY0NzU0MA== fmaussion 10050469 2017-10-23T12:47:02Z 2017-10-23T12:47:11Z MEMBER

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? See 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'])

 
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   Low memory/out-of-core index? 267628781

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