Python 在pandas中使用read_csv时忽略双引号(";)

Python 在pandas中使用read_csv时忽略双引号(";),python,pandas,dataframe,read.csv,Python,Pandas,Dataframe,Read.csv,这是我的文本文件,我已将其转换为CSV 我面临的唯一问题是文件中有双引号(“)时(例如,在条目号1的文件中) 如何在读取CSV文件时忽略双引号? 读取文件时使用的分隔符为\n ================================================== ==== Title: Whole case Location: oyuri From: Aki Date: 2018/11/30 (Friday) 11:55:29 ==========================

这是我的文本文件,我已将其转换为CSV 我面临的唯一问题是文件中有双引号(“)时(例如,在条目号1的文件中) 如何在读取CSV文件时忽略双引号? 读取文件时使用的分隔符为\n

================================================== ====
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.
-------------------------------------------------- ------------------

尝试传递
quoting=csv.QUOTE_NONE
或(如果不起作用)玩
quotechar

df = pd.read_csv(filename ,sep='\n', header=None)

尝试传递
quoting=csv.QUOTE_NONE
或(如果不起作用)玩
quotechar

df = pd.read_csv(filename ,sep='\n', header=None)
这是:

import csv

df = pd.read_csv(filename, sep='\n', header=None, quoting=csv.QUOTE_NONE)
这是:

import csv

df = pd.read_csv(filename, sep='\n', header=None, quoting=csv.QUOTE_NONE)

它工作得很好。谢谢@pakpe它工作得很好。谢谢@pakpe