bin data according to distribution pandas code example

Example 1: difference between cut and qcut pandas

df['ext price'].value_counts(bins=4, sort=False)

#res
(55603.988000000005, 87998.212]     5
(87998.212, 120263.375]            12
(120263.375, 152528.538]            2
(152528.538, 184793.7]              1
Name: ext price, dtype: int64

Example 2: difference between cut and qcut pandas

pd.interval_range(start=0, freq=10000, end=200000, closed='left')

#res
IntervalIndex([[0, 10000), [10000, 20000), [20000, 30000), [30000, 40000), [40000, 50000) ... [150000, 160000),
[160000, 170000), [170000, 180000), [180000, 190000), [190000, 200000)],
              closed='left',
              dtype='interval[int64]')