Build df with pd.DataFrame(np.random.RandomState(8765).randint(1, 101, size=(100, 2)), columns=['A', 'B']). Bucket the rows by which range of 10 their 'A' value falls into, from (0,10], (10,20], …, up to (90,100], and return the sum of the corresponding 'B' values for each bucket, indexed by the bucket interval.

Output

A
(0, 10]      635
(10, 20]     360
(20, 30]     315
(30, 40]     306
(40, 50]     750
(50, 60]     284
(60, 70]     424
(70, 80]     526
(80, 90]     835
(90, 100]    852
Name: B, dtype: int64