How To Fix The Error: UnicodedecodeError: ‘utf-8’ Codec Can’t Decode Byte 0xff In Position 0: Invalid Start Byte

How To Fix The Error: Unicodedecodeerror: ‘Utf-8’ Codec Can’t Decode Byte 0Xff In Position 0: Invalid Start Byte

No matter how cautious you might be in coding, it’s straightforward to by accident specify an incorrect encoding in a bytes object. For newbies and people studying little about Python, encoding is the conversion means of a string to a bytes object. On the opposite hand, decoding means the conversion course of vice versa.

The following article focuses on discussing one of the best technique to repair the error UnicodeDecodeError: ‘utf-8’ codec can’t decode byte 0xff in place 0: invalid begin byte error with Python.

How To Fix The Error: UnicodedecodeError: ‘utf-8’ Codec Can’t Decode Byte 0xff In Position 0: Invalid Start Byte

Before studying extra about totally different strategies to unravel the error, let’s make clear that it’ll doubtless occur in the course of the string decoding course of at a particular coding level.

The map of codings can take care of a small variety of Unicode characters and str strings. For this cause, an unlawful sequence of str characters or a non-ASCII sequence will result in a failure within the coding-specific decode().

Python converts a byte array to a Unicode string to import and course of a CSV file. This decoding course of complies with the UTF-8 guidelines. However, there’s each likelihood of a sequence of bytes that’s forbidden within the strings. Here is an instance:

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Code:

import pandas as pd

a = pd.read_csv("filename.csv")

Output:

Traceback (most up-to-date name final):

 UnicodeDecodeError: 'utf-8' codec cannot decode byte 0x96 in place 2: invalid begin byte

There are a variety options for this difficulty, relying on the use circumstances.

For Reading And Importing A CSV File Using Pandas

Pandas is likely one of the most generally used choices to import and skim a CSV file. If you run into the error when utilizing this one, it will be finest to make use of the precise encoding kind.

If you fail to discover a appropriate one, let’s set your present encoding to the unicode_escape:

import pandas as pd

knowledge=pd.read_csv("C:Employess.csv",encoding=''unicode_escape')

print(knowledge.head())

For JSON information

The error may occur if you learn and parse the content material of a JSON file. This is as a result of your JSON file shouldn’t be formatted in response to the UTF-8 guidelines.

When loading this ISO-8859-1 file, attempt the encoding as follows to unravel the problem:

json.masses(unicode(opener.open(...), "ISO-8859-1"))

For Other Formats

With different codecs, the one learn mode is commonly specified, thus, making the decoding course of improper. Such codecs like logs can take care of the error when you open the binary file and proceed studying the file.

with open(path, 'rb') as f:

  textual content = f.learn()

You may use the decode() technique to specify errors= ‘replace’:

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with open(path, ‘rb’) as f:

  textual content = f.learn().decode(errors="replace")

For The String Contents Decoding

For these encountering the error in the course of the string variable studying, let’s use the encoding and switch it to a utf-8 format.

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

Conclusion

There are numerous approaches to repair the error: UnicodeDecodeError: ‘utf-8’ codec can’t decode byte 0xff in place 0: invalid begin byte. Check the article above to get the easiest way on your case.

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