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  • zxdawn · 3 ✖

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  • Concatenate DataArrays on one dim when another dim has difference sizes · 3 ✖

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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
621793960 https://github.com/pydata/xarray/issues/4016#issuecomment-621793960 https://api.github.com/repos/pydata/xarray/issues/4016 MDEyOklzc3VlQ29tbWVudDYyMTc5Mzk2MA== zxdawn 30388627 2020-04-30T12:12:11Z 2020-04-30T12:12:11Z NONE

@keewis Thanks! I will try to apply this method and check the results.

 
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   Concatenate DataArrays on one dim when another dim has difference sizes 609108666
621680403 https://github.com/pydata/xarray/issues/4016#issuecomment-621680403 https://api.github.com/repos/pydata/xarray/issues/4016 MDEyOklzc3VlQ29tbWVudDYyMTY4MDQwMw== zxdawn 30388627 2020-04-30T08:03:44Z 2020-04-30T08:03:44Z NONE

@dcherian Sorry. I made a mistake in the expected result. It should be [[0], [1, 2, 3]]

 
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   Concatenate DataArrays on one dim when another dim has difference sizes 609108666
621300738 https://github.com/pydata/xarray/issues/4016#issuecomment-621300738 https://api.github.com/repos/pydata/xarray/issues/4016 MDEyOklzc3VlQ29tbWVudDYyMTMwMDczOA== zxdawn 30388627 2020-04-29T15:51:52Z 2020-04-29T15:51:52Z NONE

@JavierRuano The time indexes are same in my real case. Maybe, I have to merge these data if I can't find the solution.

 
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   Concatenate DataArrays on one dim when another dim has difference sizes 609108666

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