Python 如何在填充单元格前后填充空格？
我正在尝试按部门属性对数据进行分组，然后将其分组后，在数据集中间填充的两个字段（评级和编号）的上方和下方填充空间 我试过让groupby工作，但没有用。我的计划是让groupby工作，然后应用下面的代码，看看是否可以让填充正确工作Python 如何在填充单元格前后填充空格？,python,pandas,dataframe,fillna,Python,Pandas,Dataframe,Fillna,我正在尝试按部门属性对数据进行分组，然后将其分组后，在数据集中间填充的两个字段（评级和编号）的上方和下方填充空间 我试过让groupby工作，但没有用。我的计划是让groupby工作，然后应用下面的代码，看看是否可以让填充正确工作 # This won't work on its own because I need to group the data first. df = df.mask(df == 0).ffill() 这就是我的出发点： | Department | Ran
# This won't work on its own because I need to group the data first.
df = df.mask(df == 0).ffill()
有什么动态的方法可以做到这一点吗 您可以将
pd.concatgroupby# convert to numeric
df['Number'] = pd.to_numeric(df['Number'])
# assign values by index
def filler(x):
idx = np.where(x['Number'].notnull())[0]
x.iloc[:idx[0], -2:] = ['1. Too Low', 1]
x.iloc[idx[-1]+1:, -2:] = ['3. Too High', 3]
return x
# concatenate transformed dataframe slices
res = pd.concat(df_slice.pipe(filler) for _, df_slice in df.groupby('Department'))
print(res)
Department Range Rating Number
0 Admin 0 (None) 1. Too Low 1.0
1 Admin 01 to 3 1. Too Low 1.0
2 Admin 01 to 3 1. Too Low 1.0
3 Admin 01 to 3 1. Too Low 1.0
4 Admin 04 to 6 2. On Target 2.0
5 Admin 04 to 6 2. On Target 2.0
6 Admin 04 to 6 2. On Target 2.0
7 Admin 07 to 10 3. Too High 3.0
8 Admin 07 to 10 3. Too High 3.0
9 Admin 07 to 10 3. Too High 3.0
10 Admin 07 to 10 3. Too High 3.0
11 Distribution 0 (None) 1. Too Low 1.0
12 Distribution 01 to 3 1. Too Low 1.0
13 Distribution 01 to 3 1. Too Low 1.0
14 Distribution 01 to 3 1. Too Low 1.0
15 Distribution 04 to 6 2. On Target 2.0
16 Distribution 04 to 6 2. On Target 2.0
17 Distribution 04 to 6 2. On Target 2.0
18 Distribution 07 to 10 3. Too High 3.0
19 Distribution 07 to 10 3. Too High 3.0
20 Distribution 07 to 10 3. Too High 3.0
21 Distribution 07 to 10 3. Too High 3.0
谢谢@jpp的快速回复。这将返回以下错误：
试图在数据帧的切片副本上设置值。尝试使用.loc[row\u indexer，col\u indexer]=value，请参见文档中的注意事项：http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-查看与复制self.obj[item]=s