反向填充条件

Question

我想在具有以下条件的数据帧的特定列上应用反向填充：我认为“colum_A”只能假设四个值，称为 A、B、C、D，并且反向填充应该工作如下：

if the first not NaN is A, then backward_filling with A;

if the first not NaN is B, then backward_filling with B;

if the first not NaN is C, then backward_filling with B;

if the first not NaN is D, then backward_filling with C;

if the column_A only contains NaN, then backward_filling with D

例如：

输入 DF：

colum_A
 NaN
 NaN
 B
 B
 C
 C

输出DF：

colum_A
 B
 B
 C
 C
 D
 D

请，任何帮助将不胜感激。 此致， 卡罗

Answer 1

我认为你需要 map 和 bfill 条件：

#get mask for back filling NaNs
m = df['colum_A'].isnull()
d = {'A':'A','B':'B','C':'B','D':'C'}
#D if all values NaN
df['colum_B'] = 'D' if m.all() else np.where(m, df['colum_A'].map(d).bfill(),df['colum_A'])
#alternative
#df['colum_B'] = 'D' if m.all() else df['colum_A'].mask(m, df['colum_A'].map(d).bfill())
print (df)
   colum_A colum_B
0      NaN       B
1      NaN       B
2        B       B
3        A       A
4      NaN       B
5        C       C
6        C       C
7      NaN       C
8      NaN       C
9      NaN       C
10       D       D
11       D       D
12       A       A
13       C       C
14     NaN       A
15       A       A
16     NaN     NaN