Roadmap

• Make coords and attrs persistent across slicing operations (try df['pop'].to_xarray() from above example and watch it fail…)
• Improve hooks between pandas and metacsv:
  • update coord names on df.index.names assignment
  • update coords on stack/unstack
  • update coords on
• Handle attributes indexed by coord/variable names –> assign to coord/variable-specific attrs
• Let’s start an issue tracker and get rid of this section!
• Should we rethink “special attributes,” e.g. coords? Maybe these should have some special prefix like _coords when included in yaml headers to avoid confusion with other generic attributes…
• Allow special attributes (coords, variables) in read_csv call
• Allow external file headers
• Write tests
• Write documentation
• Maybe steal xarray’s coordinate handling and save ourselves a whole lotta work?

Feature Requests

• Create syntax for multi-csv –> Panel or combining using filename regex
• Eventually? allow for on-disk manipulation of many/large files with dask/xarray
• Eventually? add xml, SQL, other structured syntax language conversions