比较两个csv并合并它们

Question

我需要使用 Python 和 Angular JS 将 CSV 文件从 python 发送到网页并相应地显示。

我有 2 个 CSV 文件，其字段为

CSV1

Country code,Telecom,Latency

919618, India Private Mobile,0.008800

919619, India Private Mobile,0.008800

919620, India Private Mobile,0.008800

CSV2

Country code,Telecom,Latency

919802, India Private Mobile,0.008400

919803, India Private Mobile,0.008400

919620, India Private Mobile,0.008400

网页应显示为

Country code,Telecom,Latency

919618, India Private Mobile,0.008800

919619, India Private Mobile,0.008800

919802, India Private Mobile,0.008400

919803, India Private Mobile,0.008400

919620,India Private Mobile,0.008400,0.008800

（最后一行包含两个值，因为 CSV 文件都包含 919620 个公共值）

所以现在我是 Angular JS 和 Flask 的新手， 请指导我如何开始？

从这个开始

import pandas as pd
import numpy as np


dfa = pd.read_csv('rate4.csv', names=['Country Code', 'SP', 'Rate']);
dfb = pd.read_csv('rate3.csv', names=['Country Code', 'SP', 'Rate']);

Answer 1

您可以将DataFrame 用于输出concat 和groupby 列Country code 和Telecom 与join 列Latency：

df = pd.concat([df1, df2]) \
       .groupby(['Country code','Telecom'])['Latency'] \
       .apply(lambda x: ','.join(x.astype(str))) \
       .reset_index()
print (df)
   Country code               Telecom        Latency
0        919618  India Private Mobile         0.0088
1        919619  India Private Mobile         0.0088
2        919620  India Private Mobile  0.0088,0.0084
3        919802  India Private Mobile         0.0084
4        919803  India Private Mobile         0.0084