我需要垂直合并Python中几个CSV电子表格中的数据。他们的结构是相同的,我只需要将一个表的数据放在下面,因为它们是年度调查的月份。我尝试了几种方法,我发现谷歌搜索,但我找不到办法做一些简单的事情:
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
提前致谢。 R上。
答案 0 :(得分:2)
看起来你只是忘了迭代文件。试试这段代码:
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
答案 1 :(得分:0)
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
答案 2 :(得分:0)
大熊猫很简单。
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)
如果您的文件确实有标题,请删除header=None
。