pandas 简单的旋转
示例
首先尝试使用pivot：
import pandas as pd
import numpy as np
df = pd.DataFrame({'Name':['Mary', 'Josh','Jon','Lucy', 'Jane', 'Sue'],
'Age':[34, 37, 29, 40, 29, 31],
'City':['Boston','New York', 'Chicago', 'Los Angeles', 'Chicago', 'Boston'],
'Position':['Manager','Programmer','Manager','Manager','Programmer', 'Programmer']},
columns=['Name','Position','City','Age'])
print (df)
Name Position City Age
0 Mary Manager Boston 34
1 Josh Programmer New York 37
2 Jon Manager Chicago 29
3 Lucy Manager Los Angeles 40
4 Jane Programmer Chicago 29
5 Sue Programmer Boston 31
print (df.pivot(index='Position', columns='City', values='Age'))
City Boston Chicago Los Angeles New York
Position
Manager 34.0 29.0 40.0 NaN
Programmer 31.0 29.0 NaN 37.0如果需要重置索引，请删除列名称并填写NaN值：
#pivoting by numbers - column Age
print (df.pivot(index='Position', columns='City', values='Age')
.reset_index()
.rename_axis(None, axis=1)
.fillna(0))
Position Boston Chicago Los Angeles New York
0 Manager 34.0 29.0 40.0 0.0
1 Programmer 31.0 29.0 0.0 37.0
#pivoting by strings - column Name
print (df.pivot(index='Position', columns='City', values='Name'))
City Boston Chicago Los Angeles New York
Position
Manager Mary Jon Lucy None
Programmer Sue Jane None Josh
热门推荐
10 对患者生日祝福语简短
11 结婚祝福语简短装备
12 周岁祝福语学生文案简短
13 订婚领证祝福语简短精辟
14 导师获奖祝福语大全简短
15 新婚购房祝福语简短精辟
16 牛年祝福语简短的爱人
17 送芒果的祝福语简短
18 送给学长毕业祝福语简短