decode ( 'ISO-8859-1' ) Example 4: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte with open ( file, newline = '', encoding = "utf16" ) as MyFile : Example 5: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb0 in position 1968: invalid start byte pd. The second solution is just decode(utf-16) will solve your issue. read_csv (filename, encoding = 'unicode_escape' ) Example 3: UnicodeDecodeError: 'utf-8' codec can't decode byte invalid start byte # Use 'ISO-8859-1' instead of "utf-8" for decoding Answer: To Solve UnicodeDecodeError: ‘utf-8’ codec can’t decode byte 0xff in position 0: invalid start byte just Use encoding format ISO-8859-1 to solve the issue. Let’s look at the most common occurrences, and the solution to each of these use cases.
#Unicodedecodeerror: 'utf 8' codec can't decode byte 0xff in position 0: invalid start byte how to#
Please see my screenshot here: I dont know either how to save the original data without losing those Laint/Spanish words within English sentences or how to read Unicode data file. read_csv ( 'file1.csv', error_bad_lines = False ) Example 2: 'utf-8' codec can't decode byte 0x85 in position 715: invalid start byte import pandas as pdĭata = pd. Traceback (most recent call last): UnicodeDecodeError: 'utf-8' codec can't decode byte 0x96 in position 2: invalid start byte There are multiple solutions to resolve this issue, and it depends on the different use cases. UnicodeDecodeError: ‘utf-8’ codec can’t decode byte 0xff in position 0: invalid start byte. UnicodeDecodeError: utf-8 codec cant decode byte 0xff in position 0: invalid start byte. C error: Expected 1 fields in line 87, saw 2 data = pd. Example 1: ParserError: Error tokenizing data.
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