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It would be nice to have functions to run things with synpp from Jupyter, for instance stage by stage and to examine the results directly, e.g.
pipeline = synpp.setup("config_ile_de_france.yml") df_census = pipeline.run("data.census.cleaned") # Do something with df_census df_census = pipeline.run("data.census.cleaned", stages = { "data.census.raw": SOME_DATA # Override stage output })
The text was updated successfully, but these errors were encountered:
With stage decoration maybe a workaround could be:
df_census = synpp.run([synpp.stage("data.census.cleaned", **{"data.census.raw": synpp.stage(lambda: SOME_DATA)})])
The dependency "data.census.raw" is replaced by another fake stage produced with the lambda.
I haven't tested it though, it would probably break the cache...
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It would be nice to have functions to run things with synpp from Jupyter, for instance stage by stage and to examine the results directly, e.g.
The text was updated successfully, but these errors were encountered: