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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1240476836 | PR_kwDOAMm_X844DWJW | 6621 | concatenate docs style | PLSeuJ 91902355 | closed | 0 | 1 | 2022-05-18T20:24:11Z | 2022-05-20T15:09:55Z | 2022-05-18T23:53:07Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6621 | added and highlighted keywords as in the chapters on merge and combine.
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xarray 13221727 | pull | |||||
| 1239640898 | I_kwDOAMm_X85J42tC | 6618 | make a new dimension with dataset.merge | PLSeuJ 91902355 | closed | 0 | 7 | 2022-05-18T08:54:19Z | 2022-05-18T20:31:54Z | 2022-05-18T18:32:16Z | CONTRIBUTOR | Is your feature request related to a problem?I was trying to combine datasets with a field data (i.e. radar signal data on a lat and lon grid) each dataset being from a different point of time. As far as I could understand, there currently is no straight forward way to do this in xarray (or at least I did not find it). Describe the solution you'd likeMaybe this would be a nice thing to add internally (e.g. xr.merge([ds1, ds2], newaxis='time')). Or in case I just did not find it, lets add it to the Combining data Documentation site for easy access. Describe alternatives you've consideredI added a new coordinate and dimension (i.e. 'time') to every dataset individually before using merge for the datasets. Additional contextNo response |
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completed | xarray 13221727 | issue |
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