Hi there,
I believe I have found an error with the type hints for `DataFrame.drop` in pyspark. The first overload at https://github.com/apache/spark/blob/0bc38acc615ad411a97779c6a1ff43d4391c0c3d/python/pyspark/sql/dataframe.py#L5559-L5568 isn’t as a `*args` argument, and therefore doesn’t allow specifying multiple `Columns` in `drop`. Additionally, according to the python docs <https://docs.python.org/3/library/typing.html#typing.overload>, type hints on the non-overloaded definition should be ignored by a type checker and so mixing specifying the `str` name of a field with `Column` expressions in the final `drop` definition should not be used by a type checker. However, the code in both the connect <https://github.com/apache/spark/blob/0bc38acc615ad411a97779c6a1ff43d4391c0c3d/python/pyspark/sql/connect/dataframe.py#L489-L496> and classic <https://github.com/apache/spark/blob/0bc38acc615ad411a97779c6a1ff43d4391c0c3d/python/pyspark/sql/classic/dataframe.py#L1712-L1720> implementation doesn't appear to have any issues with mixing `Columns` with `str`, nor specifying multiple `Column`s, so I think the overloads here are unnecessary altogether and the final declaration is sufficient asis. Is my understanding correct? Or is there something more that I'm missing as to why that is typed like that? Thanks, Olly
