DEPS: Address numpy deprecation of len 1 arrays assignment
- [ ] closes #52853 (Replace xxxx with the GitHub issue number)
- [ ] [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
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

There's more detail in https://github.com/numpy/numpy/pull/10615#issuecomment-1522513193, but basically `arr[0, ...]` will return a 0D array vs the actual object which is useful when the object is an array like e.g. `(1,)` that you want to treat like a scalar