df0 = pdDataFrameE 20 34 30 1 B a c a c num 1 2 1 1 D b b b b Acc 200 100 30 50 AccD -5 105 -30 50df1 = pdDat

df1_grouped = df1.groupby(['B']) result = pd.DataFrame() for name, group in df1_grouped: df_filtered = df[(df['B'] == name) & (df['Acc'] < group['accessMin'])] if not df_filtered.empty: result = pd.concat([result, df_filtered], ignore_index=True)