Home/ Questions/Utf 8 Codec Can't Decode Bytes In Position 15 16 Invalid Continuation Byte
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Noelle Singh
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Asked: 2022-04-22T02:32:46+00:00 In:

Utf 8 Codec Can’t Decode Bytes In Position 15 16 Invalid Continuation Byte

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What are the best answers for ‘utf-8’ codec can’t decode bytes in position 15-16: invalid continuation byte

♦ Suggestions of ITtutoria Team
Ideas for ‘utf-8’ codec can’t decode bytes in position 15-16: invalid continuation byte: UTF-8 is a Unicode encoding standard for writing most of the alphabets of the world. It has many advantages over other encoding standards, like Windows-1252. However, in order to do so, it requires bytes to be placed within its range of 0-255 at a specific location. An invalid continuation byte is when this happens and causes problems with how the UTF-8 codec decodes text.

Here is a suggestion for you

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

  1. pd.read_csv('ml-100k/u.item', sep='|', names=m_cols , encoding='latin-1')
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  2. # Use 'ISO-8859-1' instead of "utf-8" for decoding
text = open(fn, 'rb').read().decode('ISO-8859-1')
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  3. It seems this solution works, you may try it

    # Use the correct enconding of your file, for me it was ISO-8859-1
with open("file.txt", "r", encoding="ISO-8859-1") as txt_file:
    # Your Code
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  4. Hope that my example would help

    import pandas as pd
data = pd.read_csv(filename, encoding= 'unicode_escape')
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  5. In case you expect more than one maximum this will work

    #use rb over r
with open(path, 'rb') as f:
  text = f.read()
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