使用pandas组合两个csv文件

Question

任何人都可以检查我的代码有什么问题.我希望它将两个csv文件合并到一个csv文件中.

我曾尝试谷歌,我仍然无法合并它,它将创建新文件,但不会显示任何内容. /sf/answers/1138630111/

a.csv

ID    User
A1    Fi
A2    Ki

b.csv

ID    User
A4    Fsdi
A5    Kisd

我想要的输出看起来像这样

combined.csv

ID    User
A1    Fi
A2    Ki
A4    Fsdi
A5    Kisd

test.py

import pandas, sys
import pandas as pd


a = pd.read_csv("C:/JIRA Excel File/a.csv")
b = pd.read_csv("C:/JIRA Excel File/b.csv")

merged = a.merge(b, on='ID')

merged.to_csv('C:/JIRA Excel File/result.csv', index=False)

Answer 1

使用df.append:

out = df1.append(df2)
print(out)

   ID  User
0  A1    Fi
1  A2    Ki
0  A4  Fsdi
1  A5  Kisd

with open('C:/JIRA Excel File/result.csv', 'w', encoding='utf-8') as f:
    out.to_csv(f, index=False)

Answer 2

最好在pd.concat这里使用它来组合这些帧,而不是merge:

merged = pd.concat([a,b])

您的数据的玩具示例:

a = pd.DataFrame([['Fi'],['Ki']],columns=['User'], index=['A1','A2'],) #'ID')
b = pd.DataFrame([['Fi'],['Ki']],columns=['User'], index=['A4','A5'],) #'ID')
pd.concat([a,b])

将输出:

    User
A1  Fi
A2  Ki
A4  Fi
A5  Ki