Vasudha Grover
Reputation: 1
Cleaning Data using pandas
I am having values like \xc2\xa0Bluestone \xc2\xa0CloudCherry \xc2\xa0Footprints Education in my dataset and i have been trying to remove these using some methods but unable to do so. PLease help out. Till now i have tried: 1.df=df[df['Startup_Name']!='\xc2\xa0Ameyo'] 2.Droping the rows having these values
Upvotes: 0
Views: 50
Answers (1)
Frank Wilson
Reputation: 3260
The C2AO is utf8 for nonbreaking space. Have you tried setting encoding=“utf_8” parameter for read_csv()?
Upvotes: 1