python与R中dataframe排序方法

import numpy as np
import pandas as pd

#按照index进行索引
obj=pd.Series(range(4),index=['d','a','b','c'])
obj.sort_index()

a    1
b    2
c    3
d    0
dtype: int64

frame=pd.DataFrame(np.random.randint(1,10,16).reshape((4,4)),index=['D','A','C','B'],columns=['d','a','b','c'])
frame

	d	a	b	c
D	7	6	9	2
A	5	7	8	5
C	9	4	9	9
B	6	7	9	6

frame.sort_index()

	d	a	b	c
A	5	7	8	5
B	6	7	9	6
C	9	4	9	9
D	7	6	9	2

frame.sort_index(axis=1)

	a	b	c	d
D	6	9	2	7
A	7	8	5	5
C	4	9	9	9
B	7	9	6	6

frame.sort_values(by='a')

	d	a	b	c
C	9	4	9	9
D	7	6	9	2
A	5	7	8	5
B	6	7	9	6

R语言

rownames<-c('r1','r2','r3','r4')
colnames<-c('c1','c2','c3','c4')
df<-data.frame(matrix(sample(1:10,16,replace=T),nrow=4,dimnames=list(rownames,colnames)))
df

newdf<-df[order(df$c1),]
newdf