issue_comments: 281496902

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https://github.com/pydata/xarray/issues/1223#issuecomment-281496902 https://api.github.com/repos/pydata/xarray/issues/1223 281496902 MDEyOklzc3VlQ29tbWVudDI4MTQ5NjkwMg== 703554 2017-02-21T22:05:39Z 2017-02-21T22:05:39Z CONTRIBUTOR

Just to say this is looking neat.

For storing an xarray.DataArray, do you think it would be possible to do away with pickling up all metadata and storing in the .xarray resource? Specifically I'm wondering if this could all be stored as attributes on the Zarr array, with some conventions for special xarray attribute names? I'm guessing there must be some conventions for storing all this metadata as attributes in an HDF5 (netCDF) file, it would potentially be nice to mirror that as much as possible?

On Sat, Feb 11, 2017 at 10:56 PM, Martin Durant notifications@github.com wrote:

I have developed my example a little to sidestep subclassing you suggest, which seemed tricky to implement.

Please see https://gist.github.com/martindurant/ 06a1e98c91f0033c4649a48a2f943390 (dataset_to/from_zarr functions)

I can use the zarr groups structure to mirror at least typical use of xarrays: variables, coordinates and sets of attributes on each. I have tested this with s3 too, stealing a little code from dask to show the idea.

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