It probably couldn't be that, because many build on one another. Some are deprecated and others are clearly incompatible, but out of 50 parameters you likely could imagine calling this with 20 parameters if the environment and the CSV you're ingesting are wonky enough.

I think feasible refactorings would be:

- rationalise currently separate parameters into meatier objects e.g. there's at least half a dozen parameters which deal with dates parsing, a dozen which configure the low-level CSV parsing, etc... that could probably be coalesced into configuration objects

- a builder-type API, but you'd end up at the same result using intermediate steps instead of a function, not really useful unless you leverage (1) and each builder step configures a non-trivial amount of the system, so rather than 50 parameters you'd have maybe 10 builder, each with 0~10 knobs

- or you'd build the thing as a bunch of composable transformers on top of a base parser

Of note: the latter at least might be undesirable from the Pandas POV, as it would imply layers of recursive Python calls, which might be much slower than whatever Pandas currently does (I've no idea).