pandas csv UnicodeDecodeError: 'utf-8' codec can't decode byte 0x81 in position 162: invalid start byte

Question

I'm trying to read one column from a csv (with header 'Peptide Sequence'). However, this gives me the error as in the title. I know this probably has something to do with the encoding, which I know very little about. Is there a quick workaround for this?

import pandas as pd
file = r'C:\...\thpdb.csv'
df = pd.read_csv(file, usecols=['Peptide Sequence'])
print(df)

try this: df = pd.read_csv(file, usecols=['Peptide Sequence'], encoding = "ISO-8859-1") — Beatdown
– Beatdown, Commented Jun 26, 2022 at 12:03
you're welcome! I posted the solution as an answer, if you could accept it that would be great! Good luck with the project. — Beatdown
– Beatdown, Commented Jun 26, 2022 at 12:29

Beatdown · Accepted Answer · 2022-06-26 12:28:48Z

2

read_csv takes an encoding argument to deal with files in different formats, "ISO-8859-1" should work for you. See here:

import pandas as pd
file = r'C:\...\thpdb.csv'
df = pd.read_csv(file, usecols=['Peptide Sequence'], encoding = "ISO-8859-1")
print(df)

answered Jun 26, 2022 at 12:28

Beatdown

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