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  • DataArray concat with tolerance · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
521678559 https://github.com/pydata/xarray/issues/2644#issuecomment-521678559 https://api.github.com/repos/pydata/xarray/issues/2644 MDEyOklzc3VlQ29tbWVudDUyMTY3ODU1OQ== dcherian 2448579 2019-08-15T15:15:23Z 2019-08-15T15:15:23Z MEMBER

Closing in favour of #2217

 
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   DataArray concat with tolerance 395384938
451068534 https://github.com/pydata/xarray/issues/2644#issuecomment-451068534 https://api.github.com/repos/pydata/xarray/issues/2644 MDEyOklzc3VlQ29tbWVudDQ1MTA2ODUzNA== davidbrochart 4711805 2019-01-03T07:06:25Z 2019-01-03T07:06:25Z CONTRIBUTOR

Thanks @shoyer. Unfortunately PR https://github.com/pandas-dev/pandas/pull/22043 has been put on hold.

 
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   DataArray concat with tolerance 395384938
451036309 https://github.com/pydata/xarray/issues/2644#issuecomment-451036309 https://api.github.com/repos/pydata/xarray/issues/2644 MDEyOklzc3VlQ29tbWVudDQ1MTAzNjMwOQ== shoyer 1217238 2019-01-03T01:34:29Z 2019-01-03T01:34:29Z MEMBER

This feature would certainly be welcome in some form.

xarray.concat uses xarray.align internally for alignment, which in term relies upon methods like pandas.Index.union to determine result coordinates. So to make this work well, we basically need some form of "approximate unions".

We've been discussing exactly this over in https://github.com/pydata/xarray/issues/2217. I would encourage you to take a look!

 
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   DataArray concat with tolerance 395384938

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