[英]Python parse CSV ignoring comma with double-quotes
I have a CSV file with lines like this:我有一个带有如下行的 CSV 文件:
"AAA", "BBB", "Test, Test", "CCC"
"111", "222, 333", "XXX", "YYY, ZZZ"
and so on ...等等 ...
I dont want to parse comma's under double-quotes.我不想在双引号下解析逗号。 ie.
IE。 My expected result should be
我的预期结果应该是
AAA
BBB
Test, Test
CCC
My code:我的代码:
import csv
with open('values.csv', 'rb') as f:
reader = csv.reader(f)
for row in reader:
print row
I tried using csv package under python but no luck.我尝试在 python 下使用 csv 包,但没有运气。 The parses explodes all comma's.
解析会分解所有逗号。
Please let me know if I'm missing something如果我遗漏了什么,请告诉我
This should do: 应该这样做:
lines = '''"AAA", "BBB", "Test, Test", "CCC"
"111", "222, 333", "XXX", "YYY, ZZZ"'''.splitlines()
for l in csv.reader(lines, quotechar='"', delimiter=',',
quoting=csv.QUOTE_ALL, skipinitialspace=True):
print l
>>> ['AAA', 'BBB', 'Test, Test', 'CCC']
>>> ['111', '222, 333', 'XXX', 'YYY, ZZZ']
You have spaces before the quote characters in your input. 输入中的引号字符前有空格。 Set
skipinitialspace
to True
to skip any whitespace following a delimiter: 将
skipinitialspace
设置为True
可以跳过定界符之后的任何空格:
When
True
, whitespace immediately following the delimiter is ignored.如果为
True
,则分隔符之后的空白将被忽略。 The default isFalse
.默认值为
False
。
>>> import csv
>>> lines = '''\
... "AAA", "BBB", "Test, Test", "CCC"
... "111", "222, 333", "XXX", "YYY, ZZZ"
... '''
>>> reader = csv.reader(lines.splitlines())
>>> next(reader)
['AAA', ' "BBB"', ' "Test', ' Test"', ' "CCC"']
>>> reader = csv.reader(lines.splitlines(), skipinitialspace=True)
>>> next(reader)
['AAA', 'BBB', 'Test, Test', 'CCC']
[Posted edited to be more clear.] If you dont want to parse comma's under double-quotes so your output will include the commas inside the columns, here is another way of doing this. [发布编辑更清晰。] 如果您不想在双引号下解析逗号,因此您的输出将包含列内的逗号,这是另一种方法。 It is elegant and allows you to use cloud buckets to store your CSV file.
它很优雅,并允许您使用云存储桶来存储您的 CSV 文件。 The key is to use [smart_open][1] as a drop-in replacement to the standard file open.
关键是使用 [smart_open][1] 作为标准文件打开的替代品。
Also, I am using [DictReader][2] instead of reader.另外,我使用 [DictReader][2] 而不是阅读器。
import csv
import json
from smart_open import open
with open('./temp.csv') as csvFileObj:
reader = csv.DictReader(csvFileObj, delimiter=',', quotechar='"')
# csv.reader requires bytestring input in python2, unicode input in python3
for record in reader:
# record is a dictionary of the csv record
print(f'Record as json shows proper reading of file:\n {json.dumps(record, indent=4)})')
print(f'You can reference an individual field too: {record["field3"]}')
print(f' {record["field4"]}')
Note that I added 2 parameters to DictReader.请注意,我向 DictReader 添加了 2 个参数。 delimiter=',', quotechar='"' Comma is the default delimiter but I added it in case someone needs to change it. Quotechar is necessary because it is not the default. Real output from code:
delimiter=',', quotechar='"' 逗号是默认分隔符,但我添加了它以防有人需要更改它。 Quotechar 是必要的,因为它不是默认值。代码的实际输出:
Record as json shows proper reading of file:
{
"field1": "AAA",
"field2": "BBB",
"field3": "Test, Test",
"field4": "CCC"
})
You can reference an individual field too: Test, Test
CCC
done
Record as json shows proper reading of file:
{
"field1": "111",
"field2": "222, 333",
"field3": "XXX",
"field4": "YYY, ZZZ"
})
You can reference an individual field too: XXX
YYY, ZZZInput file:
Input data file (I added a header record for clarity. If you don't have a header record the first record will get gobbled up but there is prob a parameter for that too.)输入数据文件(为了清楚起见,我添加了一个标题记录。如果您没有标题记录,第一条记录将被吞噬,但也有可能是一个参数。)
"field1","field2","field3","field4"
"AAA","BBB","Test, Test","CCC"
"111","222, 333","XXX","YYY, ZZZ"
I hope this helps someone.我希望这可以帮助别人。
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