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- darikg · 7 ✖
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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830685713 | https://github.com/pydata/xarray/issues/5240#issuecomment-830685713 | https://api.github.com/repos/pydata/xarray/issues/5240 | MDEyOklzc3VlQ29tbWVudDgzMDY4NTcxMw== | darikg 6875882 | 2021-05-01T19:55:01Z | 2021-05-01T19:55:01Z | CONTRIBUTOR | Thanks @keewis! I was confusing dimension names and variable names. I would support raising or falling back to a reasonably sane default -- the reason I stumbled on this was having a None coord name was breaking the _repr_html in Jupyter and causing a much more confusing error message |
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Coord name not set when `concat`ing along a DataArray 873713013 | |
797099807 | https://github.com/pydata/xarray/issues/5022#issuecomment-797099807 | https://api.github.com/repos/pydata/xarray/issues/5022 | MDEyOklzc3VlQ29tbWVudDc5NzA5OTgwNw== | darikg 6875882 | 2021-03-11T22:45:13Z | 2021-03-11T22:45:13Z | CONTRIBUTOR | Thank you both! I'll report back if I get anywhere with it |
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Extracting `formatting_html` as a standalone library? 828805728 | |
682038763 | https://github.com/pydata/xarray/pull/4379#issuecomment-682038763 | https://api.github.com/repos/pydata/xarray/issues/4379 | MDEyOklzc3VlQ29tbWVudDY4MjAzODc2Mw== | darikg 6875882 | 2020-08-27T15:58:49Z | 2020-08-27T15:58:49Z | CONTRIBUTOR | Thanks for everybody's help! Also just wanted to say, you guys have an incredible test suite. |
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Use deepcopy recursively on numpy arrays 686495257 | |
681999585 | https://github.com/pydata/xarray/pull/4379#issuecomment-681999585 | https://api.github.com/repos/pydata/xarray/issues/4379 | MDEyOklzc3VlQ29tbWVudDY4MTk5OTU4NQ== | darikg 6875882 | 2020-08-27T14:52:27Z | 2020-08-27T14:52:27Z | CONTRIBUTOR | I went with @keewis's last suggestion because I think it makes the most sense for deepcopy to behave as expected even with older versions of numpy |
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Use deepcopy recursively on numpy arrays 686495257 | |
681097210 | https://github.com/pydata/xarray/pull/4379#issuecomment-681097210 | https://api.github.com/repos/pydata/xarray/issues/4379 | MDEyOklzc3VlQ29tbWVudDY4MTA5NzIxMA== | darikg 6875882 | 2020-08-26T20:08:43Z | 2020-08-26T20:08:43Z | CONTRIBUTOR | Oh, sorry, I actually can reproduce it locally. Turns out arrays in numpy 1.15 don't have
could just be
But I'm not familiar with |
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Use deepcopy recursively on numpy arrays 686495257 | |
681041552 | https://github.com/pydata/xarray/pull/4379#issuecomment-681041552 | https://api.github.com/repos/pydata/xarray/issues/4379 | MDEyOklzc3VlQ29tbWVudDY4MTA0MTU1Mg== | darikg 6875882 | 2020-08-26T18:13:32Z | 2020-08-26T18:13:32Z | CONTRIBUTOR | Weird, I can't reproduce that locally, even after reverting to numpy 1.15. Trying with a non-object class |
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Use deepcopy recursively on numpy arrays 686495257 | |
680363901 | https://github.com/pydata/xarray/issues/4362#issuecomment-680363901 | https://api.github.com/repos/pydata/xarray/issues/4362 | MDEyOklzc3VlQ29tbWVudDY4MDM2MzkwMQ== | darikg 6875882 | 2020-08-26T00:35:22Z | 2020-08-26T00:35:22Z | CONTRIBUTOR | Sure! I'll be back in a couple days when I get a chance |
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Surprising deepcopy semantics with dtype='object' 683649612 |
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