我正在尝试合并具有公共ID列的两个csv文件，并将合并写入新文件。我已经尝试了以下方法，但它给了我一个错误-
import csv
from collections import OrderedDict
filenames = "stops.csv", "stops2.csv"
data = OrderedDict()
fieldnames = []
for filename in filenames:
with open(filename, "rb") as fp: # python 2
reader = csv.DictReader(fp)
fieldnames.extend(reader.fieldnames)
for row in reader:
data.setdefault(row["stop_id"], {}).update(row)
fieldnames = list(OrderedDict.fromkeys(fieldnames))
with open("merged.csv", "wb") as fp:
writer = csv.writer(fp)
writer.writerow(fieldnames)
for row in data.itervalues():
writer.writerow([row.get(field, '') for field in fieldnames])
两个文件都有“ stop_id”列，但我又收到此错误-KeyError：“ stop_id”
任何帮助将非常感激。
谢谢
谢谢四丈
这是对我有用的-由每个csv中的第一列合并。
import csv
from collections import OrderedDict
with open('stops.csv', 'rb') as f:
r = csv.reader(f)
dict2 = {row[0]: row[1:] for row in r}
with open('stops2.csv', 'rb') as f:
r = csv.reader(f)
dict1 = OrderedDict((row[0], row[1:]) for row in r)
result = OrderedDict()
for d in (dict1, dict2):
for key, value in d.iteritems():
result.setdefault(key, []).extend(value)
with open('ab_combined.csv', 'wb') as f:
w = csv.writer(f)
for key, value in result.iteritems():
w.writerow([key] + value)
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