pandas filling nans by mean of before and after non-nan values

Question

I would like to fill df\'s nan with an average of adjacent elements.

Consider a dataframe:

df = pd.DataFrame({\'val\': [1,n         


        

Answer 1

Althogh in case of multiple nan's in a row it doesn't produce the exact output you specified, other users reaching this page may actually prefer the effect of the method interpolate():

df = df.interpolate()

print(df)
     val
0    1.0
1    2.5
2    4.0
3    5.0
4    7.5
5   10.0
6    1.0
7    2.0
8    5.0
9    6.3
10   7.7
11   9.0