这是我的数据集的摘录: Dataset
这是一个数据集的例子
df = pd.DataFrame(
{'vals': np.where(np.arange(35) < 30,np.arange(35),np.nan)},index=pd.date_range('2021-01-01',freq='12H',periods=35))
vals
2021-01-01 00:00:00 0.0
2021-01-01 12:00:00 1.0
2021-01-02 00:00:00 2.0
2021-01-02 12:00:00 3.0
2021-01-03 00:00:00 4.0
2021-01-03 12:00:00 5.0
2021-01-04 00:00:00 6.0
2021-01-04 12:00:00 7.0
2021-01-05 00:00:00 8.0
2021-01-05 12:00:00 9.0
2021-01-06 00:00:00 10.0
2021-01-06 12:00:00 11.0
2021-01-07 00:00:00 12.0
2021-01-07 12:00:00 13.0
2021-01-08 00:00:00 14.0
2021-01-08 12:00:00 15.0
2021-01-09 00:00:00 16.0
2021-01-09 12:00:00 17.0
2021-01-10 00:00:00 18.0
2021-01-10 12:00:00 19.0
2021-01-11 00:00:00 20.0
2021-01-11 12:00:00 21.0
2021-01-12 00:00:00 22.0
2021-01-12 12:00:00 23.0
2021-01-13 00:00:00 24.0
2021-01-13 12:00:00 25.0
2021-01-14 00:00:00 26.0
2021-01-14 12:00:00 27.0
2021-01-15 00:00:00 28.0
2021-01-15 12:00:00 29.0
2021-01-16 00:00:00 NaN
2021-01-16 12:00:00 NaN
2021-01-17 00:00:00 NaN
2021-01-17 12:00:00 NaN
2021-01-18 00:00:00 NaN
对于我想要的结果:
vals
2021-01-01 00:00:00 0.0
2021-01-01 12:00:00 1.0
2021-01-02 00:00:00 2.0
2021-01-02 12:00:00 3.0
2021-01-03 00:00:00 4.0
2021-01-03 12:00:00 5.0
2021-01-04 00:00:00 6.0
2021-01-04 12:00:00 7.0
2021-01-05 00:00:00 8.0
2021-01-05 12:00:00 9.0
2021-01-06 00:00:00 10.0
2021-01-06 12:00:00 11.0
2021-01-07 00:00:00 12.0
2021-01-07 12:00:00 13.0
2021-01-08 00:00:00 14.0
2021-01-08 12:00:00 15.0
2021-01-09 00:00:00 16.0
2021-01-09 12:00:00 17.0
2021-01-10 00:00:00 18.0
2021-01-10 12:00:00 19.0
2021-01-11 00:00:00 20.0
2021-01-11 12:00:00 21.0
2021-01-12 00:00:00 22.0
2021-01-12 12:00:00 23.0
2021-01-13 00:00:00 24.0
2021-01-13 12:00:00 25.0
2021-01-14 00:00:00 26.0
2021-01-14 12:00:00 27.0
2021-01-15 00:00:00 28.0
2021-01-15 12:00:00 29.0
2021-01-16 00:00:00 16.0
2021-01-16 12:00:00 17.0
2021-01-17 00:00:00 18.0
2021-01-17 12:00:00 19.0
2021-01-18 00:00:00 20.0
我的问题:
我想用一周前观察到的同一列中的值填充 NaN 值。
df.fillna(method='ffill') 没有帮助,因为它根据最后一个值进行填充。有什么想法吗?