issue_comments: 41122172

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https://github.com/pydata/xarray/issues/18#issuecomment-41122172 https://api.github.com/repos/pydata/xarray/issues/18 41122172 MDEyOklzc3VlQ29tbWVudDQxMTIyMTcy 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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