binning data python code example
Example 1: difference between cut and qcut pandas
df['ext price'].value_counts(bins=4, sort=False)
(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
interval_range = pd.interval_range(start=0, freq=10000, end=200000)
df['cut_ex2'] = pd.cut(df['ext price'], bins=interval_range, labels=[1,2,3])
df.head()
Example 3: difference between cut and qcut pandas
pd.cut(df['ext price'], bins=4)
0 (55603.989, 87998.212]
1 (87998.212, 120263.375]
2 (55603.989, 87998.212]
3 (120263.375, 152528.538]
4 (87998.212, 120263.375]
....
14 (87998.212, 120263.375]
15 (120263.375, 152528.538]
16 (87998.212, 120263.375]
17 (87998.212, 120263.375]
18 (87998.212, 120263.375]
19 (87998.212, 120263.375]
Name: ext price, dtype: category
Categories (4, interval[float64]): [(55603.989, 87998.212] < (87998.212, 120263.375] < (120263.375, 152528.538] < (152528.538, 184793.7]]