Pandas.errors.parsererror: ',' Expected After '"'

I am trying to read this dataset from Kaggle: Amazon sales rank data for print and kindle books The file amazon_com_extras.csv has a column named 'Title' that sometimes contains a

Solution 1:

This is happening to you because there are fields inside the document that contain unescaped quotes inside the quoted text.

I am not aware of a way to instruct the csv parser to handle that without preprocessing.

If you don't care about those columns, you can use

pd.read_csv("amazon_com_extras.csv", engine="python", sep=',', quotechar='"', error_bad_lines=False)

That will disable the Exception from being raised, but it will remove the affected lines (you will see that in the console).

An example of such a line:

"1405246510","book","hardcover",""Hannah Montana" Annual 2010","Unknown","Egmont Books Ltd"

Notice the quotes.

Instead, a more standard dialect of csv would have rendered:

1405246510,"book","hardcover","""Hannah Montana"" Annual 2010","Unknown","Egmont Books Ltd"

You can, for example, load the file with Libreoffice and re-save it as CSV again to get a working CSV dialect or use other preprocessing techniques.

Solution 2:

The problem is that pandas treats the char " for queting, and expects " after every " in a cell, which doesn't happen in this csv.

To make pandas not treat it as a quoting mark, pass the parameter quoting=3 inside the pd.read_csv function.

Solution 3:

This works for me Sniffer:

import requests
import csv
withopen('spotify_dataset.csv') as csvfile:
    dialect = csv.Sniffer().sniff(csvfile.read(14734))


df = pd.read_csv('spotify_dataset.csv', engine='python', dialect=dialect, error_bad_lines=False)