Aggregation in Q-Q plots
- Dominant language
- Python
- Stars
- 33
- Forks
- 19
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 30
Description
### What problem does your feature request solve?
Currently the Q-Q plots can only be calculated for a full forecast. They cannot be calculated over multiple forecasts (i.e. aggregated).
### Describe the solution you'd like
It would be sensible to aggregate over multiple forecasts, particularly via lead time and all points (as in histograms). I am unsure if we would want via validity time or diurnal cycle, although the latter could be interesting at times and for certain variables.
### Describe alternatives you've considered
None.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the Q-Q plot implementation and the existing histogram aggregation behavior. Determine how aggregation by lead time and all points should work, and clarify whether validity time or diurnal-cycle aggregation is required; done should include agreed aggregation options with coverage for the supported cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100