您可以使用apply
lambda函数:
df['date1'] = pd.to_datetime(df['date1'])
df['date2'] = pd.to_datetime(df['date2'])
df1 = pd.DataFrame(index=pd.date_range(df.date1.min(), df.date2.max()), columns = ['score1sum', 'score2sum'])
df1[['score1sum','score2sum']] = df1.apply(lambda x: df.loc[(df.date1 <= x.name) &
(x.name <= df.date2),
['score1','score2']].sum(), axis=1)
df1.rename_axis('usedate').reset_index()
输出:
usedate score1sum score2sum
0 2016-01-01 8 8
1 2016-01-02 21 6
2 2016-01-03 32 13
3 2016-01-04 30 35
4 2016-01-05 13 26