UnicodeDecodeError: 'utf8' codec can't decode byte 0xa5 in position 0: invalid start byte

I switched this simply by defining a different codec package in the read_csv() command:

encoding = 'unicode_escape'

Eg:

import pandas as pd
data = pd.read_csv(filename, encoding= 'unicode_escape')

Try the below code snippet:

with open(path, 'rb') as f:
  text = f.read()

The error is because there is some non-ascii character in the dictionary and it can't be encoded/decoded. One simple way to avoid this error is to encode such strings with encode() function as follows (if a is the string with non-ascii character):

a.encode('utf-8').strip()

Your string has a non ascii character encoded in it.

Not being able to decode with utf-8 may happen if you've needed to use other encodings in your code. For example:

>>> 'my weird character \x96'.decode('utf-8')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Python27\lib\encodings\utf_8.py", line 16, in decode
    return codecs.utf_8_decode(input, errors, True)
UnicodeDecodeError: 'utf8' codec can't decode byte 0x96 in position 19: invalid start byte

In this case, the encoding is windows-1252 so you have to do:

>>> 'my weird character \x96'.decode('windows-1252')
u'my weird character \u2013'

Now that you have Unicode, you can safely encode into utf-8.

On read csv, I added an encoding method:

import pandas as pd
dataset = pd.read_csv('sample_data.csv', header= 0,
                        encoding= 'unicode_escape')

This solution worked for me:

import pandas as pd
data = pd.read_csv("training.csv", encoding = 'unicode_escape')

Inspired by @aaronpenne and @Soumyaansh

f = open("file.txt", "rb")
text = f.read().decode(errors='replace')

As of 2018-05 this is handled directly with decode, at least for Python 3.

I'm using the below snippet for invalid start byte and invalid continuation byte type errors. Adding errors='ignore' fixed it for me.

with open(out_file, 'rb') as f:
    for line in f:
        print(line.decode(errors='ignore'))

Simple Solution:

import pandas as pd
df = pd.read_csv('file_name.csv', engine='python')

Set default encoder at the top of your code

import sys
reload(sys)
sys.setdefaultencoding("ISO-8859-1")

If the above methods are not working for you, you may want to look into changing the encoding of the csv file itself.

Using Excel:

Open csv file using Excel Navigate to File menu option and click Save As Click Browse to select a location to save the file Enter intended filename Select CSV (Comma delimited) (*.csv) option Click Tools drop-down box and click Web Options Under Encoding tab, select the option Unicode (UTF-8) from Save this document as drop-down list Save the file

Using Notepad:

Open csv file using notepad Navigate to File > Save As option Next, select the location to the file Select the Save as type option as All Files(.) Specify the file name with .csv extension From Encoding drop-down list, select UTF-8 option. Click Save to save the file

By doing this, you should be able to import csv files without encountering the UnicodeCodeError.

Following line is hurting JSON encoder,

now = datetime.datetime.now()
now = datetime.datetime.strftime(now, '%Y-%m-%dT%H:%M:%S.%fZ')
print json.dumps({'current_time': now}) // this is the culprit

I got a temporary fix for it

print json.dumps( {'old_time': now.encode('ISO-8859-1').strip() })

Marking this as correct as a temporary fix (Not sure so).

The following snippet worked for me.

import pandas as pd
df = pd.read_csv(filename, sep = ';', encoding = 'latin1', error_bad_lines=False) #error_bad_lines is avoid single line error

You may use any standard encoding of your specific usage and input.

utf-8 is the default.

iso8859-1 is also popular for Western Europe.

e.g: bytes_obj.decode('iso8859-1')

see: docs

After trying all the aforementioned workarounds, if it still throws the same error, you can try exporting the file as CSV (a second time if you already have). Especially if you're using scikit learn, it is best to import the dataset as a CSV file.

I spent hours together, whereas the solution was this simple. Export the file as a CSV to the directory where Anaconda or your classifier tools are installed and try.

Instead of looking for ways to decode a5 (Yen ¥) or 96 (en-dash –), tell MySQL that your client is encoded "latin1", but you want "utf8" in the database.

See details in Trouble with UTF-8 characters; what I see is not what I stored

I encountered the same error while trying to import to a pandas dataframe from an excel sheet on sharepoint. My solution was using engine='openpyxl'. I'm also using requests_negotiate_sspi to avoid storing passwords in plain text.

import requests
from io import BytesIO
from requests_negotiate_sspi import HttpNegotiateAuth
cert = r'c:\path_to\saved_certificate.cer'
target_file_url = r'https://share.companydomain.com/sites/Sitename/folder/excel_file.xlsx'
response = requests.get(target_file_url, auth=HttpNegotiateAuth(), verify=cert)
df = pd.read_excel(BytesIO(response.content), engine='openpyxl', sheet_name='Sheet1')

In my case, i had to save the file as UTF8 with BOM not just as UTF8 utf8 then this error was gone.

from io import BytesIO

df = pd.read_excel(BytesIO(bytes_content), engine='openpyxl')

worked for me

Simple solution:

import pandas as pd

df = pd.read_csv('file_name.csv', engine='python-fwf')

If it's not working try to change the engine to 'python' or 'c'.