child_id = [10,10,10,10,20,20,20,20]
feature_1 = [1,0,0,0,0,1,0,0]
feature_2 = [0,0,1,0,0,0,1,0]
feature_3 = [0,1,0,0,0,0,1,1]
feature_4 = [0,0,0,1,0,0,0,0]
feature_5 = [0,0,0,0,1,0,0,0]
import pandas as pd
df = pd.DataFrame(zip(child_id,feature_1,feature_2,feature_3,feature_4,feature_5),columns=['A','B','C','D','E','F'])
df
df.groupby('A').max()
#10 1 1 1 1 0
#20 1 1 1 0 1