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  • ENH: NETCDF4 in pandas · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
41122172 https://github.com/pydata/xarray/issues/18#issuecomment-41122172 https://api.github.com/repos/pydata/xarray/issues/18 MDEyOklzc3VlQ29tbWVudDQxMTIyMTcy shoyer 1217238 2014-04-23T03:54:59Z 2014-04-23T03:54:59Z MEMBER

I'm going to close this, given that pandas doesn't currently have appropriate data structures for representing arbitrary dimensional NetCDF variables. These data structures (N-dimensional labeled arrays like xray.DataArray) are a major motivation for why we wrote xray.

You can represent higher dimensional arrays as a pandas.Series with a hierarchical index, but this representation has a much less directly connection to NetCDF datasets on disk. I think it makes more sense to make the objects in xray first (since our data models basically matches netCDF), and then convert xray Datasets into pandas DataFrames. We do in fact support this via the to_series and to_dataframe methods, e.g., xray.open_dataset('foo.nc').to_dataframe().

That said, I am not opposed to integrating some or all of xray into pandas -- but that's a much bigger discussion.

 
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   ENH: NETCDF4 in pandas 28262599
36039528 https://github.com/pydata/xarray/issues/18#issuecomment-36039528 https://api.github.com/repos/pydata/xarray/issues/18 MDEyOklzc3VlQ29tbWVudDM2MDM5NTI4 akleeman 514053 2014-02-25T18:16:38Z 2014-02-25T18:16:38Z CONTRIBUTOR

@jreback I'll spend some time getting a better feel for how/if we could push some of the backend into pandas' HDFStore. Certainly, we'd like to leverage other more powerful packages (pandas, numpy) as much as possible. Thanks for the suggestion.

 
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   ENH: NETCDF4 in pandas 28262599

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