Revert "PERF: faster corrwith method for pearson and spearman correlation when other is a Series and axis = 0 (column-wise) (#46174)"
- [x] closes #48826 (Replace xxxx with the GitHub issue number)
- [x] closes #49141
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

Reverting for now - I've a test fix and whatsnew note from https://github.com/pandas-dev/pandas/pull/49032 , but have reverted the change and added the issue as a test so we can go ahead with 1.5.1. A fixed version of the performance improvement can go into 2.0.0
Thanks @MarcoGorelli 