DataFrame 간의 차이점을 쉽게 식별하고 표시하는 방법

"StudentRoster Jan-1":
id    Name   score                    isEnrolled           Comment
111   Jack   2.17                     True                 He was late to class
112   Nick   1.11                     False                Graduated
113   Zoe    4.12                     True

"StudentRoster Jan-2":
id    Name   score                    isEnrolled           Comment
111   Jack   2.17                     True                 He was late to class
112   Nick   1.21                     False                Graduated
113   Zoe    4.12                     False                On vacation

ne = (df1 != df2).any(1)

ne_stacked = (df1 != df2).stack()
changed = ne_stacked[ne_stacked]
changed.index.names = ['id', 'col']

difference_locations = np.where(df1 != df2)
changed_from = df1.values[difference_locations]
changed_to = df2.values[difference_locations]

pd.DataFrame({'from': changed_from, 'to': changed_to}, index=changed.index)