Turning the True into a count of a columns

Question

I Have column "Counts" that has a true false count and I want to get just the counts of the True values

SubmitDate_NoTime ResolvedDate_NoTime         Count
0   2021-01-01  2021-01-03           0 True 1 True 2 True 3 Fals... 
1   2021-01-01  2021-01-02           0 True 1 True 2 True 3 Fals... 
2   2021-01-01  2021-01-06           0 True 1 True 2 True 3 Fals..

This is an example of one row list each row has a list similar to this.

 0      True
 1      True
 2      True
 3     False
 4     False
 5     False
 6     False
 7     False
 8     False
 9     False
 10    False
 11    False
 12    False
 13    False
 14    False
 15    False
 16    False
 17    False
 18    False
 19    False
 20    False

I have tried

 df['Counts'] = tickets['Counts'].sum()
 df['Counts'] = df[df['Counts']==True].count().sum()

Neither have worked

I want the df to look like df['Counts'][1] = 3 in this case.