如何在Python中垂直合并多个csv文件？

Question

我需要在Python中垂直合并来自几个CSV电子表格的数据。它们的结构是相同的，我只需要把一个表的数据放在下面的上面，因为它们是年度调查的月份。我尝试了几种在google上找到的方法，但是我找不到一种简单的方法，比如：

import csv

spreadsheets1 = open('0113_RE_fscom.csv','r')
spreadsheets2 = open('0213_RE_fscom.csv','r')
spreadsheets = spreadsheets1 + spreadsheets2

with spreadsheet as csvfile:
   sales = csv.reader(csvfile)
   for row in sales:
      print row

Answer 1

这个怎么样：

import csv
from itertools import izip

with open('0113_RE_fscom.csv', 'r') as f1, open('0113_RE_fscom.csv', 'r') as f2:
   csv1 = csv.reader(f1, delimiter=',')
   csv2 = csv.reader(f2, delimiter=',')
   for line1, line2 in izip(csv1, csv2):
      print line1 + line2

Answer 2

你好像忘了迭代文件。请尝试以下代码：

import csv

spreadsheet_filenames = [
    '0113_RE_fscom.csv',
    '0213_RE_fscom.csv',
]

for filename in spreadsheet_filenames:
    with open(filename, 'r') as csvfile:
        sales = csv.reader(csvfile)
        for row in sales:
            print row

Answer 3

这对熊猫来说很简单。在

import pandas as pd
f1 = pd.read_csv('0113_RE_fscom.csv', header=None)
f2 = pd.read_csv('0213_RE_fscom.csv', header=None)
merged = pd.concat(f1, f2)
merged.to_csv('merged.csv', index=None, header=None)

删除header=None如果文件确实有头。在