pandas read csv with extra commas in column

Each Answer to this Q is separated by one/two green lines.

I’m reading a basic csv file where the columns are separated by commas with these column names:

userid, username, body

However, the body column is a string which may contain commas. Obviously this causes a problem and pandas throws out an error:

CParserError: Error tokenizing data. C error: Expected 3 fields in line 3, saw 8

Is there a way to tell pandas to ignore commas in a specific column or a way to go around this problem?

Imagine we’re reading your dataframe called comma.csv:

userid, username, body
01, n1, 'string1, string2'

One thing you can do is to specify the delimiter of the strings in the column with:

df = pd.read_csv('comma.csv', quotechar="'")

In this case strings delimited by ' are considered as total, no matter commas inside them.

Add usecols and lineterminator to your read_csv() function, which, n is the len of your columns.

In my case:

n = 5 #define yours
df = pd.read_csv(file,

Does this help?

import csv
with open("csv_with_commas.csv", newline="", encoding = 'utf8') as f:
    csvread = csv.reader(f)
    batch_data = list(csvread)



[2] To combat “UnicodeDecodeError: ‘charmap’ codec can’t decode byte 0x8f in position 157: character maps to undefined”:

The answers/resolutions are collected from stackoverflow, are licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 .