Comments (2)
Additionally, there are likely some gaps in terms of daily candidate fits, this could potentially be addressed here
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Created a dataframe function here that addresses issue
from nmma_fitter.
Related Issues (20)
- More descriptive file names
- Replace built-in plotting in nmma_fit.py with the new nmma functionality HOT 1
- Increase utility of job logging HOT 1
- Packaging of repo HOT 2
- Add flag for days that were not fit in real-time
- add wrapper script to stats.py HOT 1
- alter check for candidate_fits directory existence
- sampling_time plots in stats.py misbehave HOT 2
- rework pipeline to use settings.json
- rework stats.py to use dateTimes HOT 3
- stats.py get_dataframe reads in csv files incorectly HOT 1
- candidate_fits folder has manual data HOT 1
- Account for potentially unreadable/corrupt json files in stats.py
- set more consistent plot styling in stats.py HOT 2
- create dry run functionality
- replace dictionaries in stats.py with grouped dataframes
- histplot for bar plot issue HOT 1
- fitTimeStack potentially incorrect cumulative summation HOT 1
- plotCandidates not counting number of candidates correctly HOT 1
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