how to use boolean indexing to find value on same row but different column

Question

I have a df with 2 columns and 3 rows

   is_active         group_name
0       True         group_one
1       True         specific_string
2       True         group_one

first I checked with if the df contains a specific value in a columns

df['group_name'].str.contains("specific_string").any()

now I wanto to check if the value on the same row but on the other column is == is_active I want to get boolean as return, the second line doesnt work

if df['group_name'].str.contains("specific_string").any():
    df.loc[df['group_name'].str.contains('specific_string').any(), 'is_active']
    return True

Answer 1

In second row is used boolean indexing , so any is removed:

out = df.loc[df['group_name'].str.contains('specific_string'), 'is_active']

Then select first matched value by indexing:

return out.iat[0]