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Description
Description
I ran a pipeline and saved the results only to find out that the index, which contained required information, was missing!
Context
Users are expecting the pandas.CSVDataset
to be a shallow wrapper around pandas.DataFrame.to_csv
. It essentially is, but along with that shallow wrapper expectation is the expectation that the defaults will be the same. I found it surprising that the defaults were not preserved. It isn't a huge deal, but it becomes a "gotcha" for anyone onboarding Kedro + pandas CSV.
Possible Alternatives
Naturally, users 'can' use the code in the current state. This isn't a huge problem. Just a footgun for new users.
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