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: int64difference 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]')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 .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()
#There is a downside to using interval_range . You can not define custom labels.difference between cut and qcut pandas
\
df['quantile_ex_4'] = pd.qcut(df['ext price'],
q=[0, .2, .4, .6, .8, 1], #quartiles bin range will vary
labels=False, #returns integers as categories
precision=0)
df.head()
#all bins will have roughly same no. of observationdifference between cut and qcut pandas
pd.cut(df['ext price'], bins=4)
#res
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]]Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
