conditions = [
(df["age"].lt(10)),
(df["age"].ge(10) & df["age"].lt(20)),
(df["age"].ge(20) & df["age"].lt(30)),
(df["age"].ge(30) & df["age"].lt(50)),
(df["age"].ge(50)),
]
choices = ["baby", "kid", "young", "mature", "grandpa"]
df["elderly"] = np.select(conditions, choices)
# Results in:
# name age preTestScore postTestScore elderly
# 0 Jason 42 4 25 mature
# 1 Molly 52 24 94 grandpa
# 2 Tina 36 31 57 mature
# 3 Jake 24 2 62 young
# 4 Amy 73 3 70 grandpa