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  • From pandas to xarray without blowing up memory · 6 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
389622523 https://github.com/pydata/xarray/issues/2139#issuecomment-389622523 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTYyMjUyMw== ghost 10137 2018-05-16T18:37:24Z 2018-05-16T18:37:24Z NONE

Does that sound like it will play well with GeoViews if I want widgets for the categorical vars?

 
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   From pandas to xarray without blowing up memory 323703742
389622155 https://github.com/pydata/xarray/issues/2139#issuecomment-389622155 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTYyMjE1NQ== ghost 10137 2018-05-16T18:36:17Z 2018-05-16T18:36:17Z NONE

Ok. Looks like the way forward is a netCDF file for each level of my categorical variables. Will give it a shot.

 
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   From pandas to xarray without blowing up memory 323703742
389618279 https://github.com/pydata/xarray/issues/2139#issuecomment-389618279 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTYxODI3OQ== ghost 10137 2018-05-16T18:24:02Z 2018-05-16T18:24:02Z NONE

@shoyer Thank you. Does metacsv look likely to work to you? It has attracted almost no attention so I wonder if it will exhaust memory. I'm kind of surprised this path (csv -> xarray) isn't better fleshed out as I would have expected it to be very common, perhaps the most common esp. for "found data."

 
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   From pandas to xarray without blowing up memory 323703742
389596244 https://github.com/pydata/xarray/issues/2139#issuecomment-389596244 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTU5NjI0NA== ghost 10137 2018-05-16T17:13:11Z 2018-05-16T17:13:11Z NONE

This looks potentially helpful http://metacsv.readthedocs.io/en/latest/

 
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   From pandas to xarray without blowing up memory 323703742
389592602 https://github.com/pydata/xarray/issues/2139#issuecomment-389592602 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTU5MjYwMg== ghost 10137 2018-05-16T17:01:37Z 2018-05-16T17:01:37Z NONE

PS: I started with Dask but haven't found a way to go from Dask to xarray.

 
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   From pandas to xarray without blowing up memory 323703742
389592243 https://github.com/pydata/xarray/issues/2139#issuecomment-389592243 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDM4OTU5MjI0Mw== ghost 10137 2018-05-16T17:00:24Z 2018-05-16T17:00:24Z NONE

Hi @jhamman The original data is literally just a flat csv file with ie: lat,lon,epoch,cat1,cat2,var1,var2,...,var50 with 1 billion rows.

I'm looking to xarray for GeoViews, which I think would benefit from having the data properly grouped/indexed by its categories

 
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   From pandas to xarray without blowing up memory 323703742

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