I have a dataframe that I want to convert from wide to long with 9 columns. 3 columns are ID columns, 2 columns are to be gathered, and the last 4 columns are not to be gathered and they are not ID, meaning when new rows will be added to these 4 columns, I don't want the values in it to be repeated, I want the new rows filled with NA.
active 2023-10-17 → 2023-10-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-17 to 2023-10-17. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| CWR-05 | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.