Minor change to grade table formula (round up for the lower bounds instead of down).

streamlit_app.py

@@ -104,7 +104,7 @@ with st.expander('Notenberechnung'):
         grade_intervals = [grade_1_0 - i * grade_interval for i in range(10)]
         grade_intervals.append(0)
         lower = np.array([i * st.session_state.session.max_points for i in grade_intervals])
-        lower = np.floor(lower * 2) / 2
+        lower = np.ceil(lower * 2) / 2
         upper = np.roll(lower, 1)-0.5
         upper[0] = st.session_state.session.max_points
         return pd.DataFrame({'Note': grades, 'Prozent': grade_intervals, 'Untergrenze': lower, 'Obergrenze': upper})