python中DataFrame、Series数据类型 sort 排序

1、DataFrame类型排序

import pandas as pd
import numpy as np
### 随机生成 DataFrame类型数据
frame = pd.DataFrame(np.random.randn(5,4),index=list('34125'),columns=list('BACD'))
frame

	B	A	C	D
3	0.923768	-1.046159	0.360164	-0.169505
4	-1.347206	2.449790	-0.111024	-0.027890
1	0.426441	-1.068556	0.831686	1.141934
2	-0.889661	0.637654	1.612614	-0.917645
5	-0.487280	-0.228530	-1.454767	-1.843402

### 对frame行索引（index）排序 ,axis默认为0，默认升序，即ascending=True
### frame.sort_index(ascending=False)   对行索引降序排列
frame.sort_index()

	B	A	C	D
1	0.426441	-1.068556	0.831686	1.141934
2	-0.889661	0.637654	1.612614	-0.917645
3	0.923768	-1.046159	0.360164	-0.169505
4	-1.347206	2.449790	-0.111024	-0.027890
5	-0.487280	-0.228530	-1.454767	-1.843402

### 对frame列索引（columns）排序 ,默认升序，即ascending=True
### 对frame列索引（columns）降序排列，即ascending=False
frame.sort_index(axis=1,ascending=False)  

	D	C	B	A
3	-0.169505	0.360164	0.923768	-1.046159
4	-0.027890	-0.111024	-1.347206	2.449790
1	1.141934	0.831686	0.426441	-1.068556
2	-0.917645	1.612614	-0.889661	0.637654
5	-1.843402	-1.454767	-0.487280	-0.228530

### 对指定列的值对frame排序，默认升序
frame.sort_index(by = 'A')

	B	A	C	D
1	0.426441	-1.068556	0.831686	1.141934
3	0.923768	-1.046159	0.360164	-0.169505
5	-0.487280	-0.228530	-1.454767	-1.843402
2	-0.889661	0.637654	1.612614	-0.917645
4	-1.347206	2.449790	-0.111024	-0.027890

### 行索引和列索引都按升序排列
s = frame.sort_index()
s.sort_index(axis=1)

	A	B	C	D
1	-1.068556	0.426441	0.831686	1.141934
2	0.637654	-0.889661	1.612614	-0.917645
3	-1.046159	0.923768	0.360164	-0.169505
4	2.449790	-1.347206	-0.111024	-0.027890
5	-0.228530	-0.487280	-1.454767	-1.843402

2、Series类型排序

### 生成Series类型数据
s = pd.Series(['15','10','18','16'],index=list('acbd'))
s

a    15
c    10
b    18
d    16
dtype: object

### 按索引排列
s.sort_index()

a    15
b    18
c    10
d    16
dtype: object

### 按值排列，默认升序，ascending=True
s.sort_values()

c    10
a    15
d    16
b    18
dtype: object