Aggregate multiple input data sets
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- data-engineering
Research direction
Start at the images image-binner entry point and review issue #21 for the proposed time histogram tool. Trace how cues, events, --align-trigger, --trigger-type, and compatibility options are handled before the bincount step. Done means multiple input event datasets are validated, handled separately where required, and aggregated into the output.
Written by the indexing model from the issue text.
Description
For the image binner images (and also for the putative new time histogram tool, see #21), allow the user to pass multiple input events data sets and aggregate them, to increase the signal in the output data. This will require handling the cues and events separately for --align-trigger, --trigger-type, etc., as well as checks for compatible --image-size, etc., and then aggregating the events in the bincount step.
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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DiamondLightSource/python-tristan#97 · 1 assignee ·
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