Groupby fillna ffill

df['three'] = df.groupby(['one','two'], sort=False)['three']
                .apply(lambda x: x.ffill().bfill())
print (df)
   one  two  three
0    1    1   10.0
1    1    1   10.0
2    1    1   10.0
3    1    2   20.0
4    1    2   20.0
5    1    2   20.0
6    1    3    NaN
7    1    3    NaN

Source: stackoverflow.com

Groupby fillna ffill

print (df)
   one  two  three
0    1    1   10.0
1    1    1   40.0
2    1    1    NaN
3    1    2    NaN
4    1    2   20.0
5    1    2    NaN
6    1    3    NaN
7    1    3    NaN

df['three'] = df.groupby(['one','two'], sort=False)['three']
                .apply(lambda x: x.fillna(x.mean()))
print (df)
   one  two  three
0    1    1   10.0
1    1    1   40.0
2    1    1   25.0
3    1    2   20.0
4    1    2   20.0
5    1    2   20.0
6    1    3    NaN
7    1    3    NaN

Source: stackoverflow.com

Similar codes

0 vote196 views1 answer
Add colorbar to 2d hist
Python
32 votes190 views3 answers
Dotenv python
Python
0 vote213 views3 answers
How to improve accuracy of random forest classifier
Python
1 vote196 views2 answers
Change a decimal to time in datetime python
Python
0 vote189 views1 answer
Table pandas to postgresql
Python
4 votes194 views4 answers
Download pdf python
Python
1 vote160 views1 answer
Variance of array python
Python
3 votes203 views2 answers
Python 3 numbers of a range is even
Python
17 votes217 views6 answers
Input in python
Python
0 vote189 views1 answer
Start Openvino Python Application at Boot Time using System Service on ubunut
Python