列中具有重复值的熊猫数据框

Question

这只是我拥有的某些csv的示例。

s.no  names   company_position
 1    A       Technical Recruiter
 2    B       Human Resource
 3    B       Corporate Trainer
 4    C       Recruiter
 5    C       English Teacher

我要输出

s.no   names   company_position     company_position_1
 1     A       Technical Recruiter   NAN
 2     B       Human Resource        Corporate Trainer
 3     C       Recruiter             English Teacher 

我在name列中具有相同的值，但在company_position列中具有不同的值。我想在另一列中将=重复的name列的值放入另一个描述为company_position_1的列中

Answer 1

import pandas as pd
data = [['A','Technical Recruiter'], ['B', 'HR Consultant','NAFTA'], \
    ['C', 'Executive Search Consultant Senior Technology Recruiter'], \
   ['D', 'Recruiter / HR Coordinator']]
df = pd.DataFrame(data, columns = ['Name', 'Current_position', 'Region'], index = 
[1,2,3,4])
print(df)

输出将为

名称当前位置区域

1名技术招聘人员没有

2 B人力资源顾问NAFTA

3 C高级猎头顾问高级技术...无

4D招聘人员/人力资源协调员无

Answer 2

导入熊猫库

import pandas as pd

创建列表

data = [['A','Technical Recruiter'], ['B', 'HR Consultant','corporate Trainer'], \
    ['C', 'Recruiter','English Teacher']]

通过添加列名和索引从列表创建数据框

df = pd.DataFrame(data, columns = ['Name', 'Company_position','company_position1'],\ 
    index = [1,2,3])
print(df)