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- ValueError: Resulting object does not have monotonic global indexes along dimension in combine_by_coords call · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1068012109 | https://github.com/pydata/xarray/issues/6355#issuecomment-1068012109 | https://api.github.com/repos/pydata/xarray/issues/6355 | IC_kwDOAMm_X84_qJJN | mathause 10194086 | 2022-03-15T13:50:50Z | 2022-03-15T13:50:50Z | MEMBER | Potentially related: #4824 (especially https://github.com/pydata/xarray/issues/4824#issuecomment-841244252) |
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ValueError: Resulting object does not have monotonic global indexes along dimension in combine_by_coords call 1168304665 | |
| 1066845844 | https://github.com/pydata/xarray/issues/6355#issuecomment-1066845844 | https://api.github.com/repos/pydata/xarray/issues/6355 | IC_kwDOAMm_X84_lsaU | Tonow 24227838 | 2022-03-14T14:14:28Z | 2022-03-14T14:57:08Z | NONE | For information: they is a problem only for the second dimension this example works well ```shell 6| x4 x4 x4 5| x4 x4 x4 4| x4 x4 x4 3| x3 x3 x3 2| x3 x3 x3 1| x3 x3 x3 10 20 30 40 ``` ```python x3 = xr.Dataset( {
) x4 = xr.Dataset( { "temperature": (("y", "x"), 20 * np.random.rand(9).reshape(3, 3)), "precipitation": (("y", "x"), np.random.rand(9).reshape(3, 3)), }, coords={"y": [10, 20, 30], "x": [4, 5, 6]}, ) ds_test = xr.combine_by_coords([x3, x4]) ds_test.temperature.plot() ``` |
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ValueError: Resulting object does not have monotonic global indexes along dimension in combine_by_coords call 1168304665 |
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