实例如下所示：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
|
>>> import pandas as pd>>> import numpy as np>>> ts1 = [0, 1, np.nan, np.nan, np.nan, np.nan]>>> ts2 = [0, 2, np.nan, 3, np.nan, np.nan]>>> d = {'X': ts1, 'Y': ts2, 'Z': ts2}>>> df = pd.DataFrame(data=d)>>> df X Y Z0 0.0 0.0 0.01 1.0 2.0 2.02 NaN NaN NaN3 NaN 3.0 3.04 NaN NaN NaN5 NaN NaN NaN>>> col =['X','Y']>>> df[col] = df[col].ffill()>>> df X Y Z0 0.0 0.0 0.01 1.0 2.0 2.02 1.0 2.0 NaN3 1.0 3.0 3.04 1.0 3.0 NaN5 1.0 3.0 NaN>>> |
以上这篇pandas对指定列进行填充的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/GeekLeee/article/details/75271233
