Python – How to replace missing years in a data frame using python

I

have another case where I replace the missing year and corresponding column with zeros.
My data frame looks like this

Year   Churn_Count  Churn_Rate  Customer_Count                                        
2008       1071.0    0.800149             4114
2012          0.0    0.000000                6
2013        233.0    0.174075              824
2014        101.0    0.075458              410

I need to fill in the missing years between 2008 and 2014

For example
2009,2010,2011 Missing how to fill these years with zeros in the middle and corresponding columns

Use set_index + reindex + reset_index:

df.set_index('Year').reindex(
   np.arange(df. Year.min(), df. Year.max() + 1), fill_value=0
).reset_index()

Year  Churn_Count  Churn_Rate  Customer_Count
0  2008       1071.0    0.800149            4114
1  2009          0.0    0.000000               0
2  2010          0.0    0.000000               0
3  2011          0.0    0.000000               0
4  2012          0.0    0.000000               6
5  2013        233.0    0.174075             824
6  2014        101.0    0.075458             410