Inconsistent behavior of pl.from_pandas(..., include_index=True) with pandas series

[joankaradimov]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import pandas as pd
import polars as pl

df = pd.Series(data={'a': 1, 'b': 2, 'c': 3}, index=['a', 'b', 'c'])

# Both of these return a polars series with values 1, 2 ,3
pl.from_pandas(df)
pl.from_pandas(df, include_index=True)

Log output

No response

Issue description

Using include_index=True is useless when the data parameter of polars.from_pandas is a Series.

Expected behavior

Return a polars.DataFrame (with the index columns included) or fail with an exception to indicate that include_index=True is not applicable to pandas.Series

Installed versions

--------Version info---------
Polars:              1.10.0
Index type:          UInt32
Platform:            Linux-6.8.0-41-generic-x86_64-with-glibc2.36
Python:              3.9.19 (main, Sep  4 2024, 23:10:56) 
[GCC 12.2.0]
LTS CPU:             False

----Optional dependencies----
adbc_driver_manager  <not installed>
altair               4.2.2
cloudpickle          3.0.0
connectorx           <not installed>
deltalake            0.18.1
fastexcel            <not installed>
fsspec               2024.6.1
gevent               <not installed>
great_tables         <not installed>
matplotlib           3.8.4
nest_asyncio         1.6.0
numpy                1.23.5
openpyxl             <not installed>
pandas               1.1.3
pyarrow              16.0.0
pydantic             2.7.4
pyiceberg            <not installed>
sqlalchemy           <not installed>
torch                2.3.1+cu118
xlsx2csv             <not installed>
xlsxwriter           3.2.0

[alexander-beedie]

Think this is a duplicate of #18859 🤔

[joankaradimov]

Ah, sorry. I searched through the issues but didn't find this one. Definitely a duplicate.