DOC: Imporve `json_normalize` record_prefix and mate_prefix
- [ ] closes #54121  (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.

That's not how it works. For example:

```python
data = {"A": [1, 2]}
pd.json_normalize(data, "A", record_prefix=True)
```

```none
   True0
0      1
1      2
```

See also the example lower in the docs. > That's not how it works. For example:
> 
> ```python
> data = {"A": [1, 2]}
> pd.json_normalize(data, "A", record_prefix=True)
> ```
> 
> ```
>    True0
> 0      1
> 1      2
> ```
> 
> See also the example lower in the docs.

You are right. I ignored this and just changed the type.  @wjandrea How about this time?  Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen. @mroeschke Sorry for later reply.

I have merged the branch with main, should we reopen the pr, or I need to open a new one?