如何解决在 Pandas 中使用 read_csv 时忽略双引号 (")
================================================== ====
Title: Whole case
Location: oyuri
From: Aki
Date: 2018/11/30 (Friday) 11:55:29
================================================== =====
1: Aki
2018/12/05 (Wed) 17:33:17
"
An approval notice has been sent.
-------------------------------------------------- ------------------
2: Aki
2018/12/06 (Thursday) 17:14:30
I was notified by Mr. Id,the agent of the other party.
-------------------------------------------------- ------------------
3: kano,etc.
2018/12/07 (Friday) 11:44:45
Please call rito.
-------------------------------------------------- ------------------
这是我已转换为 CSV 的文本文件 我面临的唯一问题是文件中有双引号 (") 时（例如在此文件中的条目号 1 中） 如何在读取 CSV 文件时忽略双引号？ 我在读取文件时使用的分隔符是 \n
df = pd.read_csv(filename,sep='\n',header=None)
解决方法
尝试传递 quoting = csv.QUOTE_NONE 或（如果这不起作用）玩 quotechar？
import csv
df = pd.read_csv(filename,sep='\n',header=None,quoting=csv.QUOTE_NONE)
这是：
df = pd.read_csv('sample.csv',quotechar="'")
print(df)
#output:
0
0 ==============================================...
1 Title: Whole case
2 Location: oyuri
3 From: Aki
4 Date: 2018/11/30 (Friday) 11:55:29
5 ==============================================...
6 1: Aki
7 2018/12/05 (Wed) 17:33:17
8 "
9 An approval notice has been sent.
10 ----------------------------------------------...
11 2: Aki
12 2018/12/06 (Thursday) 17:14:30
13 I was notified by Mr. Id,the agent of the oth...
14 ----------------------------------------------...
15 3: kano,etc.
16 2018/12/07 (Friday) 11:44:45
17 Please call rito.
18 ----------------------------------------------...
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