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- mancellin · 10 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1102343409 | https://github.com/pydata/xarray/issues/4275#issuecomment-1102343409 | https://api.github.com/repos/pydata/xarray/issues/4275 | IC_kwDOAMm_X85BtGzx | mancellin 31126826 | 2022-04-19T09:02:57Z | 2022-04-19T09:02:57Z | CONTRIBUTOR | No worry, I had actually forgotten about this.
In a more recent version ( I'm still proposing that any valid code with |
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Interpolation along dimension with a single element 666270493 | |
615256103 | https://github.com/pydata/xarray/pull/3976#issuecomment-615256103 | https://api.github.com/repos/pydata/xarray/issues/3976 | MDEyOklzc3VlQ29tbWVudDYxNTI1NjEwMw== | mancellin 31126826 | 2020-04-17T13:51:50Z | 2020-04-17T13:52:05Z | CONTRIBUTOR | Thank you for your comments @shoyer I agree with all of them and have updated the code. |
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Proposal for better error message about in-place operation 601185984 | |
614146417 | https://github.com/pydata/xarray/issues/3910#issuecomment-614146417 | https://api.github.com/repos/pydata/xarray/issues/3910 | MDEyOklzc3VlQ29tbWVudDYxNDE0NjQxNw== | mancellin 31126826 | 2020-04-15T16:35:46Z | 2020-04-15T16:35:46Z | CONTRIBUTOR | Well actually, I would be at least as surprised if So now I understand why this is not supported. I'll submit the PR soon. |
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In-place addition of arrays with the same coords but in a different order 589632313 | |
606100412 | https://github.com/pydata/xarray/issues/3910#issuecomment-606100412 | https://api.github.com/repos/pydata/xarray/issues/3910 | MDEyOklzc3VlQ29tbWVudDYwNjEwMDQxMg== | mancellin 31126826 | 2020-03-30T16:22:04Z | 2020-03-30T16:22:04Z | CONTRIBUTOR | Yes. But the not-in-place addition |
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In-place addition of arrays with the same coords but in a different order 589632313 | |
605847162 | https://github.com/pydata/xarray/issues/3910#issuecomment-605847162 | https://api.github.com/repos/pydata/xarray/issues/3910 | MDEyOklzc3VlQ29tbWVudDYwNTg0NzE2Mg== | mancellin 31126826 | 2020-03-30T08:06:32Z | 2020-03-30T08:06:32Z | CONTRIBUTOR | I can submit a PR. But the comment cited above is not totally clear to me. The purpose of the conversion to floats is to have NaNs in case the shapes do not match. So the core of the issue is that A + B might not have the same shape as A, and thus in general A + B cannot replace A in-place. Is that right? |
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In-place addition of arrays with the same coords but in a different order 589632313 | |
598718876 | https://github.com/pydata/xarray/issues/3674#issuecomment-598718876 | https://api.github.com/repos/pydata/xarray/issues/3674 | MDEyOklzc3VlQ29tbWVudDU5ODcxODg3Ng== | mancellin 31126826 | 2020-03-13T13:26:38Z | 2020-03-13T13:26:38Z | CONTRIBUTOR | Yes, I'll give it a try. |
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Multi-index with categorical values 547091670 | |
597536240 | https://github.com/pydata/xarray/issues/3674#issuecomment-597536240 | https://api.github.com/repos/pydata/xarray/issues/3674 | MDEyOklzc3VlQ29tbWVudDU5NzUzNjI0MA== | mancellin 31126826 | 2020-03-11T09:44:48Z | 2020-03-11T09:44:48Z | CONTRIBUTOR | @fujiisoup Since you implemented |
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Multi-index with categorical values 547091670 | |
583065626 | https://github.com/pydata/xarray/issues/3674#issuecomment-583065626 | https://api.github.com/repos/pydata/xarray/issues/3674 | MDEyOklzc3VlQ29tbWVudDU4MzA2NTYyNg== | mancellin 31126826 | 2020-02-06T19:17:49Z | 2020-02-06T19:17:49Z | CONTRIBUTOR | Actually, after updating to version 0.15 I've found another issue in the same context. More precisely, when using a multi-index with a non-categorical repeated coordinate and a categorical coordinate: ```python import pandas as pd i1 = pd.Series([0, 0]) cat = pd.CategoricalDtype(categories=['foo', 'bar', 'baz']) i2 = pd.Series(['foo', 'bar'], dtype=cat) df = pd.DataFrame({'i1': i1, 'i2': i2, 'values': [1, 2]}) ds = df.set_index(['i1', 'i2']).to_xarray() print(ds)
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Multi-index with categorical values 547091670 | |
579379370 | https://github.com/pydata/xarray/issues/3674#issuecomment-579379370 | https://api.github.com/repos/pydata/xarray/issues/3674 | MDEyOklzc3VlQ29tbWVudDU3OTM3OTM3MA== | mancellin 31126826 | 2020-01-28T18:04:32Z | 2020-01-28T18:04:32Z | CONTRIBUTOR | Thank you for your work on this! I haven't found any other issue at the moment, I guess we can close this issue. |
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Multi-index with categorical values 547091670 | |
572248703 | https://github.com/pydata/xarray/issues/3669#issuecomment-572248703 | https://api.github.com/repos/pydata/xarray/issues/3669 | MDEyOklzc3VlQ29tbWVudDU3MjI0ODcwMw== | mancellin 31126826 | 2020-01-08T20:44:04Z | 2020-01-08T20:44:04Z | CONTRIBUTOR | Your patch fixes the issue, thank you! FYI, found another issue with categorical values: #3674 |
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Fail to sel() when index comes from categorical pandas Series 546727720 |
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