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- Chrismarsh · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1411048944 | https://github.com/pydata/xarray/issues/7273#issuecomment-1411048944 | https://api.github.com/repos/pydata/xarray/issues/7273 | IC_kwDOAMm_X85UGuXw | Chrismarsh 630436 | 2023-01-31T20:48:01Z | 2023-01-31T20:48:01Z | NONE | Sorry for slow reply, I got pulled onto another task before Christmas and forgot to revisit. Hit this in a different way again today. I get a combo of mangled as well as NaN values. ``` print((d0.swe.y - d1.swe.y).shape == d0.swe.shape) print((d0.swe.y - d1.swe.y).shape) print(d0.swe.y.shape) False (2509,) (2509,) ``` ``` np.unique(d0.swe.y.values == d1.swe.y.values) array([ True]) ``` ``` np.unique(d0.swe.x.values == d1.swe.x.values) array([False, True]
Looking at x shows X off by |
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concat breaks raster stack 1441345452 | |
| 1309424575 | https://github.com/pydata/xarray/issues/7273#issuecomment-1309424575 | https://api.github.com/repos/pydata/xarray/issues/7273 | IC_kwDOAMm_X85ODDu_ | Chrismarsh 630436 | 2022-11-09T21:52:56Z | 2022-11-09T21:52:56Z | NONE | Each tiff is generated from the same underlying code so they are expected (and should be) exactly identical. I haven't seen any indication they are different. I just double checked and the two in the example above indicate they are the same
is xarray sensitive in a way that wouldn't be obvious with this kind of test? |
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| 1308908697 | https://github.com/pydata/xarray/issues/7273#issuecomment-1308908697 | https://api.github.com/repos/pydata/xarray/issues/7273 | IC_kwDOAMm_X85OBFyZ | Chrismarsh 630436 | 2022-11-09T15:10:30Z | 2022-11-09T16:20:17Z | NONE | Further investigation suggests this is similar / related to Issue #3681. Using edit: An old xarray 0.15.1 doesn't exhibit this behaviour and is correctly concated as expected. |
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| 713165400 | https://github.com/pydata/xarray/issues/3781#issuecomment-713165400 | https://api.github.com/repos/pydata/xarray/issues/3781 | MDEyOklzc3VlQ29tbWVudDcxMzE2NTQwMA== | Chrismarsh 630436 | 2020-10-20T22:01:24Z | 2020-10-20T22:01:24Z | NONE | I am also hitting the problem as described by @bcbnz |
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to_netcdf() doesn't work with multiprocessing scheduler 567678992 |
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issue 2