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Hi I cannot for the life of me figure out how to just get a dataframe that shows for each notebook the metrics recorded.
In particular when I call sb.read_notebooks().metrics the "key" column just repeats the notebook name:
Also on a related note using book.scraps_report() doesn't seem to work either:
(just gives the notebook name(s) and nothing else)
Also Also book.papermill_dataframe doesn't work either:
...Indeed very little of the api for aggregating scraps seems to work at all? What's going on?
P.S. I glued a few complicated objects like a dict containing lists and a regular list in addition the regular "metrics" (aka scalars). But I should expect this library can handle that and simply ignores the complicated objects when creating summaries (if it cannot handle them, which BTW I'm pretty sure pandas actually can...)
P.P.S. these tests were done on only two notebooks for simplicity.
Also pandas==2.3.3, scrapbook==0.5.0 and papermill==2.6.0
Hi I cannot for the life of me figure out how to just get a dataframe that shows for each notebook the metrics recorded.
In particular when I call sb.read_notebooks().metrics the "key" column just repeats the notebook name:
Also on a related note using
book.scraps_report()doesn't seem to work either:(just gives the notebook name(s) and nothing else)
Also Also

book.papermill_dataframedoesn't work either:...Indeed very little of the api for aggregating scraps seems to work at all? What's going on?
P.S. I glued a few complicated objects like a dict containing lists and a regular list in addition the regular "metrics" (aka scalars). But I should expect this library can handle that and simply ignores the complicated objects when creating summaries (if it cannot handle them, which BTW I'm pretty sure pandas actually can...)
P.P.S. these tests were done on only two notebooks for simplicity.
Also pandas==2.3.3, scrapbook==0.5.0 and papermill==2.6.0