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  • calculating cumsums on a groupby object · 6 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
866754084 https://github.com/pydata/xarray/issues/3141#issuecomment-866754084 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDg2Njc1NDA4NA== stale[bot] 26384082 2021-06-23T11:23:33Z 2021-06-23T11:23:33Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

 
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   calculating cumsums on a groupby object 469633509
513636179 https://github.com/pydata/xarray/issues/3141#issuecomment-513636179 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDUxMzYzNjE3OQ== nbren12 1386642 2019-07-22T04:31:40Z 2019-07-22T04:31:40Z CONTRIBUTOR

Xarray has a pretty extensive contributor's guide that you might find helpful. In short, the way to contribute changes is to create your own fork of xarray, commit/push some changes, and finally submit a pull request (PR).

 
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   calculating cumsums on a groupby object 469633509
513582194 https://github.com/pydata/xarray/issues/3141#issuecomment-513582194 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDUxMzU4MjE5NA== tommylees112 21049064 2019-07-21T19:45:32Z 2019-07-21T19:45:32Z NONE

Would love to! Sorry have been away this weekend. Do i just clone the repo write the code and send in a PR in a new branch?

(first PR on a public repo!)

 
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   calculating cumsums on a groupby object 469633509
513327057 https://github.com/pydata/xarray/issues/3141#issuecomment-513327057 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDUxMzMyNzA1Nw== dcherian 2448579 2019-07-19T18:17:08Z 2019-07-19T18:17:08Z MEMBER

@tommylees112 Are you up for sending in a PR. It's an easy fix...

 
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   calculating cumsums on a groupby object 469633509
512908842 https://github.com/pydata/xarray/issues/3141#issuecomment-512908842 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDUxMjkwODg0Mg== shoyer 1217238 2019-07-18T17:20:17Z 2019-07-18T17:20:17Z MEMBER

It looks like ds.groupby('time.year').apply(lambda x: x.cumsum(dim='time')) mostly works for now.

But yes, it would be great to add this.

 
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   calculating cumsums on a groupby object 469633509
512862204 https://github.com/pydata/xarray/issues/3141#issuecomment-512862204 https://api.github.com/repos/pydata/xarray/issues/3141 MDEyOklzc3VlQ29tbWVudDUxMjg2MjIwNA== dcherian 2448579 2019-07-18T15:20:12Z 2019-07-18T15:20:12Z MEMBER

I wonder if this is as easy as adding ops.inject_cum_methods(Dataset.groupby) at the end of core/groupby.py?

 
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   calculating cumsums on a groupby object 469633509

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