Fill in missing row values in pandas dataframe

Question

I have the following dataframe and would like to fill in missing values.

mukey   hzdept_r    hzdepb_r    sandtotal_r silttotal_r
425897      0         61                 


        

Answer 1

Using what I just learned a couple questions below....

FYI, this solution will still leave NaN's for any 'Mukey's that don't have any 'sandtotal_r's or 'silttotal_r's.

import pandas as pd

df = pd.read_clipboard()

df1 = df.set_index('mukey')

df1.fillna(df.groupby('mukey').mean(),inplace=True)

df1.reset_index()

    mukey  hzdept_r  hzdepb_r  sandtotal_r  silttotal_r
0  425897         0        61          5.3        44.70
1  425897        61       152          5.3        44.70
2  425911         0        30         30.1        54.90
3  425911        30        74         17.7        49.80
4  425911        74        84         23.9        52.35