Mask and then fillnan#

a b c 
1 1 5.0
1 1 None
1 1 4.0
1 2 1.0
2 1 2.0
2 1 None

mask = (df['a']==1) & (df['b']==1)
mean = df.loc[mask, 'c'].mean()
df.loc[mask, 'c'] = df.loc[mask, 'c'].fillna(mean)

Source: stackoverflow.com

Similar codes

5 votes114 views2 answers
Python write a dictionary to file
Python
0 vote67 views1 answer
Get label text tkinter
Python
0 vote97 views1 answer
Fichier python pour brython
Python
0 vote120 views1 answer
Protected vs private python
Python
40 votes98 views6 answers
Send email python
Python
1 vote98 views1 answer
How to capture an image with web cam open cv
Python
1 vote95 views1 answer
Add seconds to datetime python
Python
0 vote104 views8 answers
Javascript loop Tool
Python
0 vote123 views1 answer
Mypy clear cache
Python
0 vote126 views1 answer
Instal django impoer expor
Python Django