CSV文件包含意外的双空格Python

使用Python2.7打开一个文件，将其转换为一个字典，其中第0行作为键，第3行作为值。然后打开文件b，为第0行中的匹配ID号追加匹配的其他列。然后转换回列表并合并两个CSV

最后添加标题并另存为“output.csv”

以及我所期望的例子：

文件a：

1234, 14/12/2,123.4,
5618, 13/1/12,23.4,
9143, 15/2/14,222.4,

文件b：

1234,abc,cda
9143,nda, bad 
5618, ede, fpc

（d）产出：

（实际）产出：

守则：

import csv

#create a dict from first csv, with clearing solution id as key
with open("DDS.csv", "rb") as f:
    first = {rows[0]: rows[3:] for rows in list(csv.reader(f))}

# compare second csv, append rank, add received recurring columns
with open("report.csv", "rb") as f:
    for row in csv.reader(f):
        if row and row[0] in first:  # row[0] = clearing solution id
            first[row[0]].append(row[1])  # row[1] = rank
            first[row[0]].append(row[2])
            first[row[0]].append('Received')
            first[row[0]].append('Recurring')


# convert dict back to list
merged = [(k,) + tuple(v) for k, v in first.items()]

# write list to output csv
with open('output.csv', "w") as f:
    writer = csv.DictWriter(f, fieldnames =['ID', 'Payment Date', 'Payment Amount', 'Other ID','other other ID', 'Payment Status', 'Payment Type'])
    writer.writeheader()
    csv.writer(f).writerows(merged)

奖励积分： 如何从输出CSV中删除第一列

---

谢谢

您可以去掉第一个，只需不将

（k，）

添加到元组并删除即可 “ID”来自您的字段名。您不需要创建另一个writer来写入行

csv.writer（f）.writerows（merged）

？：

---

我建议使用经典的python字符串操作，而不是csv模块

---

例如，使用

行.replace（“”，）.split（，）[0]

而不是

行[0]

应该可以解决空间问题。

您看到的额外空行的直接问题应该通过在

csv.DictWriter（）

中添加

lineterminator='\n'

参数来解决，在Windows上，csv模块默认使用

\r\n

的行终止符，请参阅类似问题，例如“谢谢，这很有效：）

ID, payment date, payment amount, other id, other other id, payment status, payment type
1234, 14/12/2,123.4,1234,abc,cda, Received, Recurring

 5618, 13/1/12,23.4,9143,nda, bad, Received, Recurring 

 9143, 15/2/14,222.4,5618, ede, fpc,Received, Recurring

import csv

#create a dict from first csv, with clearing solution id as key
with open("DDS.csv", "rb") as f:
    first = {rows[0]: rows[3:] for rows in list(csv.reader(f))}

# compare second csv, append rank, add received recurring columns
with open("report.csv", "rb") as f:
    for row in csv.reader(f):
        if row and row[0] in first:  # row[0] = clearing solution id
            first[row[0]].append(row[1])  # row[1] = rank
            first[row[0]].append(row[2])
            first[row[0]].append('Received')
            first[row[0]].append('Recurring')


# convert dict back to list
merged = [(k,) + tuple(v) for k, v in first.items()]

# write list to output csv
with open('output.csv', "w") as f:
    writer = csv.DictWriter(f, fieldnames =['ID', 'Payment Date', 'Payment Amount', 'Other ID','other other ID', 'Payment Status', 'Payment Type'])
    writer.writeheader()
    csv.writer(f).writerows(merged)

merged = [tuple(v) for k, v in first.items()]
with open('output.csv', "w") as f:
    writer = csv.DictWriter(f, fieldnames =['Payment Date', 'Payment Amount', 'Other ID','other other ID', 'Payment Status', 'Payment Type'])
    writer.writeheader()
    writer.writerows(merged)