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  • shoyer · 2 ✖

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  • New feature: interp1d · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
384715582 https://github.com/pydata/xarray/issues/2079#issuecomment-384715582 https://api.github.com/repos/pydata/xarray/issues/2079 MDEyOklzc3VlQ29tbWVudDM4NDcxNTU4Mg== shoyer 1217238 2018-04-26T17:02:19Z 2018-04-26T17:02:19Z MEMBER

This functionality sounds similar to reindex. Is it confusing to add this to reindex with an additional method such as method='linear'?

I think this would be a little confusing because then reindex in xarray would work differently from reindex in pandas.

Also, interpolate is a more descriptive name than reindex, at least for scientists. I would rather read array.interpolate_at(x=points) than array.reindex_like(x=points, method='linear').

 
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   New feature: interp1d 317421267
384138278 https://github.com/pydata/xarray/issues/2079#issuecomment-384138278 https://api.github.com/repos/pydata/xarray/issues/2079 MDEyOklzc3VlQ29tbWVudDM4NDEzODI3OA== shoyer 1217238 2018-04-25T02:06:29Z 2018-04-25T02:06:29Z MEMBER

If it were not for caching the grid setup, then this would make sense as a built-in xarray method interpolate_at (to complement interpolate_na).

With caching, this feels a little bit beyond the standard xarray data model, but well suited for a companion package. It would be great to start listing these on a doc page, so users can easily find them!

@fujiisoup also note @rabernat's xrft package, which has some overlap with your xr-scipy package.

 
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   New feature: interp1d 317421267

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