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  • max-sixty · 3 ✖

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  • How do I copy my array forwards in time? · 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
436422432 https://github.com/pydata/xarray/issues/2547#issuecomment-436422432 https://api.github.com/repos/pydata/xarray/issues/2547 MDEyOklzc3VlQ29tbWVudDQzNjQyMjQzMg== max-sixty 5635139 2018-11-06T21:54:18Z 2018-11-06T21:54:18Z MEMBER

Can you ensure times[0].item() == ds.time[0].item() prior to the reindex? Otherwise the reindex won't find the original index value and will fill with NaNs...

 
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   How do I copy my array forwards in time? 377947810
436390574 https://github.com/pydata/xarray/issues/2547#issuecomment-436390574 https://api.github.com/repos/pydata/xarray/issues/2547 MDEyOklzc3VlQ29tbWVudDQzNjM5MDU3NA== max-sixty 5635139 2018-11-06T20:06:54Z 2018-11-06T20:06:54Z MEMBER

Your original value needs to be in the time index in order to remain there after the reindex. Currently it looks like a float value:

Coordinates: * time (time) float64 9.505e+17

If you have a repro example (link in issue template) it's easier to offer help on the whole issue 

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   How do I copy my array forwards in time? 377947810
436336253 https://github.com/pydata/xarray/issues/2547#issuecomment-436336253 https://api.github.com/repos/pydata/xarray/issues/2547 MDEyOklzc3VlQ29tbWVudDQzNjMzNjI1Mw== max-sixty 5635139 2018-11-06T17:23:28Z 2018-11-06T17:23:28Z MEMBER

IIUC, this is actually much easier - reindex on your enlarged times index, and then use ffill. No need for the for loop etc

 
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   How do I copy my array forwards in time? 377947810

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