how do i fix this error message???

[owolabiodufejo123]

UnicodeDecodeError Traceback (most recent call last)
in <cell line: 0>()
----> 1 df = pd.read_csv('/content/cleaned_test_booking_data.csv')

4 frames
/usr/local/lib/python3.11/dist-packages/pandas/io/parsers/c_parser_wrapper.py in init(self, src, **kwds)
91 # Fail here loudly instead of in cython after reading
92 import_optional_dependency("pyarrow")
---> 93 self._reader = parsers.TextReader(src, **kwds)
94
95 self.unnamed_cols = self._reader.unnamed_cols

parsers.pyx in pandas._libs.parsers.TextReader.cinit()

parsers.pyx in pandas._libs.parsers.TextReader._get_header()

parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()

parsers.pyx in pandas._libs.parsers.TextReader._check_tokenize_status()

parsers.pyx in pandas._libs.parsers.raise_parser_error()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte

[ZEROTRACEPENTEST]

This error often arises when you're trying to read a file that isn't encoded in UTF-8, which is pandas' default assumption. The error suggests that the file might have a different encoding or isn't a plain text CSV file but rather a binary format like a compressed file.

Here are steps to address it:

1. Check the File Format: Ensure the file is not compressed (e.g., .gzip or .zip). If it is, you can use:

   df = pd.read_csv('/content/cleaned_test_booking_data.csv', compression='gzip')

   Replace 'gzip' with the appropriate compression type if necessary.

2. Specify the Encoding: If the file isn't compressed but uses a different text encoding, try specifying the correct encoding:

   df = pd.read_csv('/content/cleaned_test_booking_data.csv', encoding='latin1')

   Replace 'latin1' with the known encoding if you can identify it.

3. Inspect the File: Open the file in a text editor or use a tool to determine its encoding. This can help you pinpoint the issue.

If you're still facing issues, let me know what you're observing, and we can troubleshoot further together!