在字段值熊猫中处理双引号

Question

I have a row like below in a csv file

"1"|"A "Great" Experience"|"T"

When I read this using below code

pandas.read_csv(file2Name,sep = '|',keep_default_na=False,quoting=csv.QUOTE_ALL)

it gives the output as: [1,A Great" Experience",T]

I need the output as : [1,A "Great" Experience,T]

Tried many ways using using various parameters to it. Can anyone help me. Thanks in advance

Answer 1

pd.read_csv function has parameter quotechar :

quotechar : str (length 1), optional

The character used to denote the start and end of a quoted item. Quoted items can include the delimiter and it will be ignored.

You can change the default value " by smth else, for example ~ , and after that remove " from field edges:

import pandas as pd

df = pd.read_csv(file2Name, sep="|", quotechar="~")
df.applymap(lambda x: x.strip("\""))

Answer 2

" is taken as quoting character. So try escaping it using / .

Make the following change:

"1"|"A "Great" Experience"|"T" changes to "1"|"A /"Great/" Experience"|"T"

Perform read_csv operation:

df = pandas.read_csv(file2Name, sep='|', quotechar='"',escapechar="/")