在pandas read_csv中转义引号

Question

使用read_csv时，我无法创建已转义引号的数据read_csv 。
（注意：R的read.csv按预期工作。）

我的代码：

import pandas as pd
pd.read_csv('data.csv')
#error!
CParserError: Error tokenizing data. C error: Expected 2 fields in line 4, saw 3

data.csv

SEARCH_TERM,ACTUAL_URL
"bra tv bord","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
"tv på hjul","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
"SLAGBORD, \"Bergslagen\", IKEA:s 1700-tals serie","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"

如何阅读此csv并避免此错误？

我的猜测是，大熊猫正在使用一些正则表达式，这些表达式无法处理第三行的歧义和行程，或者更具体地说： \\"Bergslagen\\" 。

Answer 1

它确实有效，但你必须指出嵌入式引号的转义字符：

In [1]: data = '''SEARCH_TERM,ACTUAL_URL
"bra tv bord","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
"tv p\xc3\xa5 hjul","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"
"SLAGBORD, \\"Bergslagen\\", IKEA:s 1700-tals serie","http://www.ikea.com/se/sv/catalog/categories/departments/living_room/10475/?se%7cps%7cnonbranded%7cvardagsrum%7cgoogle%7ctv_bord"'''

In [2]: df = read_csv(StringIO(data), escapechar='\\', encoding='utf-8')

In [3]: df
Out[3]: 
                                      SEARCH_TERM                                         ACTUAL_URL
0                                     bra tv bord  http://www.ikea.com/se/sv/catalog/categories/d...
1                                      tv på hjul  http://www.ikea.com/se/sv/catalog/categories/d...
2  SLAGBORD, "Bergslagen", IKEA:s 1700-tals serie  http://www.ikea.com/se/sv/catalog/categories/d...

看到这个要点 。