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3 rows where issue = 1261153511 and user = 14808389 sorted by updated_at descending
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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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1152983813 | https://github.com/pydata/xarray/pull/6665#issuecomment-1152983813 | https://api.github.com/repos/pydata/xarray/issues/6665 | IC_kwDOAMm_X85EuSMF | keewis 14808389 | 2022-06-11T19:11:15Z | 2022-06-11T19:11:15Z | MEMBER |
To decide that we probably need to figure out what the role of a dimension will be after the index refactor. Before the refactor, we needed to rename the dimension coordinate along with the dimension to keep the index, but now that indexes are independent of dimensions it might be fine not to do that. |
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Update DataArray.rename + docu 1261153511 | |
1150810485 | https://github.com/pydata/xarray/pull/6665#issuecomment-1150810485 | https://api.github.com/repos/pydata/xarray/issues/6665 | IC_kwDOAMm_X85El_l1 | keewis 14808389 | 2022-06-09T08:10:57Z | 2022-06-09T11:32:11Z | MEMBER |
I was referring to the concept rather than the method. The idea is that you can refer to the b = xr.DataArray([0, 1, 2], dims="x", name="b") b.rename("new") b.rename(b="new") # b is the current name with coordsc = xr.DataArray([0, 1, 2], dims="x", coords={"x": ["a", "b", "c"]}, name="c")
c.rename("new", x="y")
c.rename(c="new", x="y")
c.rename({"c": "new", "x": "y"}) # providing both the |
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Update DataArray.rename + docu 1261153511 | |
1150469696 | https://github.com/pydata/xarray/pull/6665#issuecomment-1150469696 | https://api.github.com/repos/pydata/xarray/issues/6665 | IC_kwDOAMm_X85EksZA | keewis 14808389 | 2022-06-08T22:17:29Z | 2022-06-08T22:17:29Z | MEMBER | in |
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Update DataArray.rename + docu 1261153511 |
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