如何用Python解析某些.csv行？（包括示例文件）

我掌握了解析.csv文件和将某些行放入列表和/或字典的基本知识，但这一行我无法破解

共有9行包含一般信息，如

• 客户名称
• 发票号码
• 发票日期
• …等等

然后是产品和价格的详细清单。我想做的是：

从前9行中获取“发票”、“发货日期”、“到期日期”和“到期金额”

仅从其余行中获取“说明”和“金额”

查字典。然后我将把这些数据写入mySql数据库。有人能建议我如何在这个“标题”（第9行）之后开始向字典添加条目吗

谢谢

:

当我尝试此代码时：

import csv

with open('test.csv') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=",")
    for row in readCSV:
        print(row[0])

我在终点站得到这个：

向
账单ID
发票编号
发行日期
到期日
货币发票
小计
增值税（0%）
应付金额
回溯（最近一次调用上次）：文件 “xlu test.py”，第7行，in 打印（第[0]行）索引器：列表索引超出范围xlgit:master❯

---

我建议您单独阅读一般信息，然后使用模块作为字符串解析其余行。对于第一个目的，我将创建header_attributes字典，其余的将使用类实例读取

import csv
from StringIO import StringIO

CLIENT_PROPERTY_LINE_COUNT = 10

f = open("test.csv")

#When reading the file, headers are comma separated in the following format: Property, Value. 
#The if inside the forloop is used to ignore blank lines or lines with only one attribute.
for i in xrange(CLIENT_PROPERTY_LINE_COUNT):
    splitted_line = f.readline().rsplit(",", 2)

    if len(splitted_line) == 2:
        property_name, property_value = splitted_line
        stripped_property_name = property_name.strip()
        stripped_property_value = property_value.strip()
        header_attributes[stripped_property_name] = stripped_property_value

print(header_attributes)
account_data = f.read()

account_data_memory_file = StringIO()
account_data_memory_file.write(account_data)
account_data_memory_file.seek(0)

account_reader = csv.DictReader(account_data_memory_file)

for account in account_reader:
    print(account['Units'], account['Amount']

您可以使用模块和读卡器对象

import csv

dict1 = {}
dict2 = {}

with open("test.csv", "rb") as f:
    reader = csv.reader(f, delimiter="\t")
    for i, line in enumerate(reader):
        if i in [3, 4, 5, 9]:
            prop_name = line[0]
            prop_val = line[1]
            dict1[prop_name] = prop_value # Invoice number, Issue date, Due date or Amount date
        elif i > 11:
            # Fetch other information like 'description' and 'amount'
            print "Description: " + line[5]
            print "Amount: " + line[-1]
            dict2[line[5]] = line[-1]

print dict1
print dict2

---

最简单的解决方案是用逗号分割列表中的特定行，并从列表的末尾到开头读取数量和描述数据。您可能会出错，因为文件中有空行，不能拆分它们。以下是代码：

import csv

general_info=dict()
rest_of_file_list=[]

row_counter=0
with open('test.csv', 'rb') as file:
reader = csv.reader(file)
    for row in file:
        if row_counter==2:
            #invoice row
            general_info['Invoice number'] = row.split(',')[1].rstrip()
        elif row_counter==3:
            #issue date row
            general_info['Issue date'] = row.split(',')[1].rstrip()
        elif row_counter==4:
            #due date row
            general_info['Due date'] = row.split(',')[1].rstrip()
        elif row_counter==8:
            #amount due row
            general_info['Amount due'] = row.split(',')[1].rstrip()
        elif row_counter > 10:
            #last and 4th item from the end of the list are amount and description
            if row and not row.isspace():
                item=dict()
                lista=row.split(',')

                item['Description']=lista[len(lista)-4].rstrip()
                item['Amount']=lista[len(lista)-1].rstrip()
                rest_of_file_list.append(item)
        row_counter+=1

print(general_info)
print(rest_of_file_list)    

---

抱歉，忘了提一下-使用Python2.7。我想忽略前9行的一般信息，但我需要这9行中的4行。@Alex Starbuck我已经更新了我的答案，你可以检查一下。我如何将其存储到字典中？Dict1{key:value对形成第3、4、5、9行}，Dict2{key:value对从第11行到文件末尾，只有'Description'和'Amount'}@AlexStarbuck-我已经编辑了答案。请看一看。我仍然得到相同的错误：

Traceback（最近一次调用）：文件“xlwings\u test.py”，第11行，在dict1[line[0]]=line[1]#发票编号索引器：列表索引超出范围

import csv

general_info=dict()
rest_of_file_list=[]

row_counter=0
with open('test.csv', 'rb') as file:
reader = csv.reader(file)
    for row in file:
        if row_counter==2:
            #invoice row
            general_info['Invoice number'] = row.split(',')[1].rstrip()
        elif row_counter==3:
            #issue date row
            general_info['Issue date'] = row.split(',')[1].rstrip()
        elif row_counter==4:
            #due date row
            general_info['Due date'] = row.split(',')[1].rstrip()
        elif row_counter==8:
            #amount due row
            general_info['Amount due'] = row.split(',')[1].rstrip()
        elif row_counter > 10:
            #last and 4th item from the end of the list are amount and description
            if row and not row.isspace():
                item=dict()
                lista=row.split(',')

                item['Description']=lista[len(lista)-4].rstrip()
                item['Amount']=lista[len(lista)-1].rstrip()
                rest_of_file_list.append(item)
        row_counter+=1

print(general_info)
print(rest_of_file_list)