Replace zeros in the data frame with average values of adjacent rows in the same column

Question

I have imported data from excel file into a variable df using pandas. Some of the values are zeros. I need to replace this values with the average of the values in the upper row and lower row of the same column. Please suggest how I can iterate and calculate the average values.

Answer 1

use intrpolate after replacing 0s with NaNs

import numpy as np
df = pd.DataFrame({ 'A' : [2,3,0,1]})
df.replace(0,np.nan, inplace = True)
df.interpolate(inplace=True)
df

this returns

    A
0   2.0
1   3.0
2   2.0
3   1.0