In native pandas, calling sort_values where column name overlaps with index name raises error ValueError: 'col' is both an index level and a column label, which is ambiguous. But this works for series.

In Snowpark pandas we were raising errors both the scenarios Dataframe (this is expected) and Series (this was bug).
Root cause: In modin frontend we to implement Series.sort_values we convert this to Dataframe and call sort_values on it. So this failed the validation above.
Fix: Instead of converting Series to Dataframe directly call query_compiler.sort_rows_by_column_values.