ENH: Ability to coerce floats when reading csv files GH2570
- [x] closes #2570
- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
- [x] whatsnew entry

Ran the `io.csv.Read*` benchmarks which resulted in `BENCHMARKS NOT SIGNIFICANTLY CHANGED.`

I believe that `Dict[Hashable, Tuple[Dtype, str]]` should be added to `DtypeArg` to fix the failing typing check. However, that results in 20 additional errors in io\sql.py and io\parsers\base_parser.py with the additional tuple type. Perhaps there should be a distinction and an additional `CSVDtypeArg`. Looking for advice on how best to approach fixing this.
This pull request is stale because it has been open for thirty days with no activity. Please update or respond to this comment if you're still interested in working on this. this needs an api discussion first, we are not going to add yet another argument. pls comment on the referenced issue. thanks.