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 财运虎年祝福语简短语
11 单亲爸爸春节祝福语简短
12 狗狗上厕所训练
13 植物种植祝福语简短
14 翻译考试祝福语朋友简短
15 个人周年庆简短祝福语
16 狗狗怎么训练
17 分别祝福语简短搞笑英文
18 生日广州男生祝福语简短