import pandas as pd
data = {
"age": [50, 40, 30, 40, 20, 10, 30],
"qualified": [True, False, False, False, False, True, True]
}
df = pd.DataFrame(data)
newdf = df.add_suffix("_data")
print(newdf)
age_data qualified_data 0 50 True 1 40 False 2 30 False 3 40 False 4 20 False 5 10 True 6 30 True