python cut and qcut function 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.cut(df['ext price'], bins=4).value_counts() #bin range size afre equal

#res
(87998.212, 120263.375]     12 #different no. of observation
(55603.989, 87998.212]       5
(120263.375, 152528.538]     2
(152528.538, 184793.7]       1
Name: ext price, dtype: int64

#If you want equal distribution of the items in your bins, use qcut . If you want to define your own numeric bin ranges, then use cut .