issue_comments: 318244646

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https://github.com/pydata/xarray/pull/1489#issuecomment-318244646 https://api.github.com/repos/pydata/xarray/issues/1489 318244646 MDEyOklzc3VlQ29tbWVudDMxODI0NDY0Ng== 1217238 2017-07-27T02:58:35Z 2017-07-27T02:58:35Z MEMBER

Given that dask dataframes don't support MultiIndexes (among many other features), I have a hard time seeing them as a drop-in replacement for pandas.DataFrame. So maybe it would make sense to make this a separate method, e.g., to_dask_dataframe()?

We could also use a new method as an opportunity to slightly change the API, by not setting an index automatically. This lets us handle N-dimensional data while side-stepping the issue of MultiIndex support -- I don't think this would be very useful when limited to 1D arrays, and dask MultiIndex support seems to be a ways away (https://github.com/dask/dask/issues/1493). Also, set_index() in dask shuffles data, so it can be somewhat expensive.

 
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