因此，我会将第一个 Dataframe 合并到特殊 Dataframe 上，然后添加一个具有特殊条件的列

df_person = pd.DataFrame({'SECT': [1, 1, 1, 2, 2], 
                         'PAD': ['A', 'A', 'B', 'A', 'C'],
                         'ROOM': [101, 102, 101, 103, 102],
                         'PERSON': ['PERSON1', 'PERSON2', 'PERSON3', 'PERSON4', 'PERSON5']})
df_special = pd.DataFrame({'SECT':[1, 1, 1],
                          'PAD':['A', 'A', 'C'],
                          'ROOM':[101, 102, 101],
                          'START_ROOM': [100, '', 105],
                          'END_ROOM': [104, '', 500]})

df_merged = df_person.merge(df_special, on=['SECT', 'PAD', 'ROOM'], how='left')
rows_to_update1 = df_merged[(df_merged['START_ROOM']=='')&
                           (df_merged['END_ROOM']=='')].index
rows_to_update2 = df_merged[((df_merged['ROOM'].astype('int32')>=pd.to_numeric(df_merged['START_ROOM'], errors='coerce'))&
                           (df_merged['ROOM'].astype('int32')<=pd.to_numeric(df_merged['END_ROOM'], errors='coerce')))].index
df_merged['IS_SPECIAL'] = False
df_merged.loc[rows_to_update1.union(rows_to_update2), 'IS_SPECIAL'] = True

这是一个棘手的问题，因为您的开始和结束空间是字符串和整数的混合体。我建议不要将这两列作为空字符串来表示所有房间都很特别。