升级日期时间日期以使日期列表连续

Question

我有以下数据框

df = pd.DataFrame(data=[np.nan,1.34,np.nan,1,3,np.nan,np.nan,4,5,2,3,4],
           index=[datetime.date(2015, 3, 31),
                  datetime.date(2015, 3, 31),
                  datetime.date(2015, 3, 31),
                  datetime.date(2015, 3, 31),
                  datetime.date(2015, 4, 1),
                  datetime.date(2015, 4, 1),
                  datetime.date(2015, 4, 1),
                  datetime.date(2015, 4, 3),
                  datetime.date(2015, 4, 3),
                  datetime.date(2015, 4, 5),
                  datetime.date(2015, 4, 5),
                  datetime.date(2015, 4, 5)])

运行

np.unique(df.index) 

我得到了

array([datetime.date(2015, 3, 31), datetime.date(2015, 4, 1),
   datetime.date(2015, 4, 3), datetime.date(2015, 4, 5)], dtype=object)

即。缺少日期datetime.date(2015, 4, 2) datetime.date(2015, 4, 4)

如何更改日期以保持连续日期？

我想：

DF

df
Out[28]: 
               0
2015-03-31   NaN
2015-03-31  1.34
2015-03-31   NaN
2015-03-31  1.00
2015-04-01  3.00
2015-04-01   NaN
2015-04-01   NaN
2015-04-02  4.00
2015-04-02  5.00
2015-04-03  2.00
2015-04-03  3.00
2015-04-03  4.00

2015-04-03成为2015-04-02等等......