Plotting Int64 columns with nulled integers (NAType) fails #32073
- [x] closes #32073
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

Thanks @jeandersonbc 

However, before this PR can be accepted, you need to write tests / make sure you don't break existing ones - see [contributing to the code base](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#contributing-to-the-code-base):

> pandas is serious about testing and strongly encourages contributors to embrace test-driven development (TDD). This development process “relies on the repetition of a very short development cycle: first the developer writes an (initially failing) automated test case that defines a desired improvement or new function, then produces the minimum amount of code to pass that test.” So, before actually writing any code, you should write your tests. Often the test can be taken from the original GitHub issue. However, it is always worth considering additional use cases and writing corresponding tests.
> 
> Adding tests is one of the most common requests after code is pushed to pandas. Therefore, it is worth getting in the habit of writing tests ahead of time so this is never an issue. Thanks for the feedback @MarcoGorelli! I'm wondering whether the example provided in the related issue (first comment in https://github.com/pandas-dev/pandas/issues/32073) would be sufficient to be added as a test in the `TestDataFramePlots` (test_frame.py) class. I started the discussion on tests on the issue yesterday (although here might be more appropriated). well, I'm going to close this pull request and work in a single branch as this was not the first time that I messed up after updating my branch