issue_comments: 374583416

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https://github.com/pydata/xarray/issues/1846#issuecomment-374583416 https://api.github.com/repos/pydata/xarray/issues/1846 374583416 MDEyOklzc3VlQ29tbWVudDM3NDU4MzQxNg== 10050469 2018-03-20T12:42:21Z 2018-03-20T12:42:21Z MEMBER

Reopening this issue as there is still a list of possible TODOs, as per @shoyer comment:

  • [ ] Consistency with pandas for groupby/rolling aggregations.
  • [ ] Roundtrip writing/reading data to netCDF. There are a couple of known exceptions (e.g., dtypes not supported by netCDF and MultiIndex) but otherwise every xarray object should be serializable to netCDF and back without data loss.
  • [ ] Roundtrip to/from pandas Series/DataFrame with to_series()/to_dataframe()/to_xarray().
  • [ ] Indexing consistency tests for backends: all indexing operations should be supported consistently on data accessed from any backend.
  • [ ] NumPy vs Dask: any operation on dask arrays should be consistent with the operation on numpy arrays (e.g., f(xarray_obj.chunk()).compute() == f(xarray_obj)).
  • [ ] Indexing followed by xarray.concat: should get back the same result.
  • [ ] Binary arithmetic on xarray objects with Python operators (+, -, etc) and NumPy ufuncs (np.add, np.subtract, etc).
 
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