BUG: Can't restore index from parquet with offset-specified timezone #35997
- [x] closes #35997
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry

Hello @alippai! Thanks for updating this PR. We checked the lines you've touched for [PEP 8](https://www.python.org/dev/peps/pep-0008) issues, and found:







There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: 

##### Comment last updated at 2020-10-07 00:09:08 UTC Thanks @alippai, however the test doesn't seem to be passing? I think we would first need to fix the issue before committing the test. Like with TDD, you write the expectation as a testcase and it fails, then the code is changed and the untouched test passes. Isn't this the workflow for fixing a bug? I didn't work on pandas codebase before, but I can give it a try.  BTW Setting up the environment works like a charm, but the thing I did is in the official docs too: https://pandas.pydata.org/docs/dev/development/contributing.html#test-driven-development-code-writing
> So, before actually writing any code, you should write your tests. Often the test can be taken from the original GitHub issue. It's a good practice to write tests first, but a PR should include both the test and the fix that makes the test pass (unless the test is already passing of course) @dsaxton @jbrockmendel I've pushed a naive fix, what do you think? Should I skip regex or is it OK?  @jreback Run it, there are no significant changes within 10% (beside the fact that `index_cached_properties.IndexCache.*` looks totally random) ~I'm giving this up for now, feel free to grab & fix it~ Do you need any changes? What else needed for the merge?  > Do you need any changes? What else needed for the merge?

ok this lgtm. if you'd add a whatsnew note in 1.2 under I/O section can get this in . ping on green. @jreback The what's new entry is added, the CI failures are not related. Thanks! thanks for hanging in there @alippai nice work! This was my first contribution to pandas, thank you @dsaxton, @jbrockmendel, @jorisvandenbossche and @jreback for the help. I really enjoyed working on this and I appreciate the fact that I had close to zero technical issues setting up the dev environment.