issues: 1239640898
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1239640898 | I_kwDOAMm_X85J42tC | 6618 | make a new dimension with dataset.merge | 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 |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/6618/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
completed | 13221727 | issue |