issue_comments: 394912948

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https://github.com/pydata/xarray/issues/2217#issuecomment-394912948 https://api.github.com/repos/pydata/xarray/issues/2217 394912948 MDEyOklzc3VlQ29tbWVudDM5NDkxMjk0OA== 1217238 2018-06-06T01:43:33Z 2018-06-06T01:46:59Z MEMBER

I agree that this would be useful.

One option that works currently would be to determine the proper grid (e.g., from one file) and then use the preprocess argument of open_mfdataset to reindex() each dataset to the desired grid.

To do this systematically in xarray, we would want to update xarray.align to be capable of approximate alignment. This would in turn require approximate versions of pandas.Index.union (for join='outer') and pandas.Index.intersection (for join='inner').

Ideally, we would do this work upstream in pandas, and utilize it downstream in xarray. Either way, someone will need to figure out and implement the appropriate algorithm to take an approximate union of two sets of points. This could be somewhat tricky when you start to consider sets where some but not all points are within tolerance of each other (e.g., {0, 1, 2, 3, 4, 5} with tolerance=1.5).

 
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