[Docs][Python] Uncertainty with ParquetFile.schema vs ParquetFile.schema_arrow

### Describe the bug, including details regarding any error messages, version, and platform.

There appears to be some ambiguity the `names` attribute on `pyarrow.parquet.ParquetSchema` vs `pyarrow.Schema` when it comes to nested logical type columns.

I generated a parquet file with three columns, one containing list objects and the other two containing strings. When loading the two available schemas from `pyarrow.parquet.ParquetFile` (`schema` and `schema_arrow`), the corresponding `.names` differ for the List type column. `schema_arrow` appears to correctly list the column name, whereas `schema` lists the name of the lowest-level field in the structure (which, going off of the [Logical Types documentation ](https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#lists)would usually be `element`).

I've included a simple example below, tested using pyarrow 17.0.0

```python
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq

# Create parquet file
filepath = `new_parquet_file.parquet`
df = pd.DataFrame({'random_strings1': ["string1", "string2", "string3"],
'my_list': [[1, 2, 3], [4, 5, 6], [7, 8, 9]],
'random_strings2': ["string4", "string5", "string6"]})
table = pa.Table.from_pandas(df)
pq.write_table(table, filepath)

# Examine parquet file schema
with pq.ParquetFile(filepath) as file:
print(file.schema.names)
print(file.schema_arrow.names)
```
```
['random_strings1', 'element', 'random_strings2']
['random_strings1', 'my_list', 'random_strings2']
```

Is this intended behavior from `pyarrow.parquet.ParquetSchema`? The inclusion of `schema_arrow` means it's still trivial to get the names of the columns, but it still poses a problem for those who aren't aware of the logic.

### Component(s)

Documentation, Python