Python-Can'；无法从CSV文件读取字典值

我有两种不同的CSV文件。其中一个使用双引号，另一个不使用

A: "shipment_id","status","to_name","to_address_1" etc

B: shipment_id,status,to_name,to_address_1 etc

无论提交哪种类型的CSV，如何读取CSV并打印

装运id

的值

当CSV不使用双引号时，我的代码似乎不起作用

with open(file_location) as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',')
    for line in reader:
         print(line['shipment_id'])

试试这个：

with open(file_location) as f_obj:
    f_obj = f_obj.read().replace('"','').splitlines()
    reader = csv.DictReader(f_obj, delimiter=',')
    for line in reader:
         print(line['shipment_id'])

.replace（“，”）

如果有双引号，它将工作，如果没有双引号，它将不起任何作用

让我知道它是否有效：）

基于我认为.csv文件应该是什么样子以及pandas read_csv的经验，我决定如下给出我的输入

test.csv文件的示例

test1.csv文件的示例

带有打印的test.csv指定字段名的代码（第['shipping\u id'行]）：

import csv
with open('test.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader_ddQ = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader_ddQ:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line)

输出：

1233
9999

321
980
1980

OrderedDict([('shipment_id', '321'), ('status', 'ok'), ('to_name', 'P'), ('to_address_1', 'A')])
OrderedDict([('shipment_id', '980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])
OrderedDict([('shipment_id', '1980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])

带打印的test1.csv的指定字段名代码（第['shipping\u id'行]）：

import csv
with open('test.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader_ddQ = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader_ddQ:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line)

输出：

1233
9999

321
980
1980

OrderedDict([('shipment_id', '321'), ('status', 'ok'), ('to_name', 'P'), ('to_address_1', 'A')])
OrderedDict([('shipment_id', '980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])
OrderedDict([('shipment_id', '1980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])

带有指定字段名的代码，用于带有打印（行）的test1.csv:

import csv
with open('test.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader_ddQ = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader_ddQ:
        print(line['shipment_id'])

with open('test1.csv') as f_obj:
    reader = csv.DictReader(f_obj, delimiter=',', fieldnames=['shipment_id','status','to_name','to_address_1'])
    for line in reader:
        print(line)

输出：

1233
9999

321
980
1980

OrderedDict([('shipment_id', '321'), ('status', 'ok'), ('to_name', 'P'), ('to_address_1', 'A')])
OrderedDict([('shipment_id', '980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])
OrderedDict([('shipment_id', '1980'), ('status', 'No'), ('to_name', 'A'), ('to_address_1', 'G')])

---

的源您应该能够使用

quotechar

作为参数：

reader = csv.DictReader(f_obj, delimiter=',', quotechar='"')

（或者可能是

“\”

——我不知道Python是如何处理这个问题的）

这应该适用于数据的两个版本

---

如果

DictReader

不支持

quotechar

参数，请尝试直接在

csv.reader

上使用它。

您列为数据的内容看起来不像DictReader。。。请提供一个更好的例子。@sb0709哈？OP解释说这是一个csv。为什么你认为它是一个

dict

？根据示例数据不太清楚：a:“发货id”、“状态”、“收件人姓名”、“收件人地址”等，因此产生了多个dict的csv印象…它在这里起作用。我想OP希望将“csv”中的数据转换成dict。。。因为这是DictReader进行一些测试的原因，代码可以工作，可能只是csv中的数据没有输出的问题，或者需要在读取时指定列名，或者格式化“csv”以包括每个列的名称。下面是我从正确格式的“csv”OrderedICT（[（“发货id”，“1233”），（“状态”，“否”），（“收件人名称”，“N”），（“收件人地址”，“C”））中看到的输出