Question

我的分析中有多个数据框。例如数据框1，其中这是中国活动的人数

Activity            No of people
Activity 1              100
Activity 2              200 
Activity 3              300

和数据框2，其中这是Amercia中按活动划分的人数

Activity            No of people
Activity 1              400
Activity 2              500 
Activity 3              500

我想要实现的目标是：

              ------China Analysis------America Analysis
Activity            No of people           No of people  
Activity 1              100                      400
Activity 2              200                      500
Activity 3              300                      500

我想在这两个数据框上做一个合并但是我怎么做头？有什么建议吗？

Answer 1

使用concat。

如果Activity是两个数据帧中的索引，请使用：

df = pd.concat([df1, df2], axis=1, keys=('China Analysis','America Analysis'))

如果没有，请先set_index：

df = pd.concat([df1.set_index('Activity'), 
                df2.set_index('Activity')], 
                axis=1, 
                keys=('China Analysis','America Analysis'))
print (df)
           China Analysis America Analysis
             No of people     No of people
Activity                                  
Activity 1            100              400
Activity 2            200              500
Activity 3            300              500

Answer 2

一种方法：

table1 = pd.DataFrame({'Activity':['Activity 1', 'Activity 2', 'Activity 3'], 'No of people':[100,200,300]}).rename(columns={'No of people':('No of people', 'France')})
table2 = pd.DataFrame({'Activity':['Activity 1', 'Activity 2', 'Activity 3'], 'No of people':[101,201,500]}).rename(columns={'No of people':('No of people', 'America')})
table3 = pd.DataFrame({'Activity':['Activity 1', 'Activity 2', 'Activity 3'], 'No of people':[566,22,38]}).rename(columns={'No of people':('No of people', 'Espana')})

merged = table1.merge(table2, on='Activity').merge(table3, on='Activity')
merged = merged.set_index('Activity')

merged.columns = pd.MultiIndex.from_tuples(merged.columns)

print(merged)

输出：

           No of people               
                 France America Espana
Activity                              
Activity 1          100     101    566
Activity 2          200     201     22
Activity 3          300     500     38

并排组合多个数据帧并重命名

2 个答案: