...Titel_kurz"] = filtered_sorted["Titel"].astype(str).str.slice(0, 40)
     22 # Select required columns
     23 result_table = filtered_sorted[[
     24     "Datum",
     25     "Konversation_ID",
   (...)     29     "Co_Abhaengigkeit_Score"
     30 ]]

File /opt/pyvenv/lib/python3.11/site-packages/pandas/core/frame.py:4102, in DataFrame.__getitem__(self, key)
   4100 if self.columns.nlevels > 1:
   4...