DEPR: Enforce deprecation of dropping columns when numeric_only=False in groupby / resample
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [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.

Prior to calling the cython code, cummin/cummax/cumsum/cumprod raise NotImplementedError on object dtypes. The Series path intercepts this and raises a TypeError instead. I've implemented the same here ~except for DataFrame, we can't readily tell which dtype(s) would fail, so it raises a somewhat vague "at least one dtype" message~. 
Thanks @rhshadrach 