 BUG: fixed json_normalize not working with list records
When v is a list like object, numpy tries to create a 2D array if v isn't ragged despite the 'dtype=object'. Solution: add an empty list to make the array ragged and then remove.

- [ ] closes #xxxx (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.

Hello @zubin3333! 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 2022-08-22 15:55:31 UTC Thanks for the pull request, but I believe this issue is already close to solved by another user in this pull request https://github.com/pandas-dev/pandas/pull/47708. Closing, but if that pull request does not make it through we can reopen this one. In the meantime, if you'd still like to contribute, we recommend addressing issues labeled `good first issue` and ensure no pull request is actively addressing the issue.

