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

43 votes210 views5 answers
Import sklearn
Python
1 vote144 views1 answer
Remove nas from dataframe in python
Python
0 vote185 views1 answer
Tkinter convert Entry to string
Python
0 vote183 views1 answer
Label with list comprehension python
Python
1 vote202 views2 answers
Load data python
Python
1 vote205 views1 answer
Python count variable and put the count in a column of data frame
Python
7 votes193 views1 answer
Python html to pdf
Python
3 votes187 views3 answers
Python post request
Python
0 vote219 views2 answers
Python seperate int into digit array
Python
14 votes225 views3 answers
Hello world flask python
Python