BUG: still getting UnicodeDecodeError with encoding_errors="ignore"

[dadrake3]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd
import gzip
from io import BytesIO

file_path = ...

with gzip.open(file_path, "rb") as gz:
    data = gz.read()
encoding = "ascii"
bytes_io = BytesIO(data)
df = pd.read_csv(
    bytes_io,
    encoding=encoding,
    encoding_errors="ignore",
    delimiter="|",
    dtype=str,
    on_bad_lines=lambda x: "skip",
    engine="pyarrow",
    keep_default_na=False,
)

Issue Description

I am trying to use pandas internals to decode my file rather than calling data.decode(encoding...) and passing in a stringIO object, to save on ram.

However when I do this I am getting this error

  File "/root/conda/envs/main/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1024, in read_csv
    return _read(filepath_or_buffer, kwds)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/conda/envs/main/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 624, in _read
    return parser.read(nrows)
           ^^^^^^^^^^^^^^^^^^
  File "/root/conda/envs/main/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1909, in read
    df = self._engine.read()  # type: ignore[attr-defined]
         ^^^^^^^^^^^^^^^^^^^
  File "/root/conda/envs/main/lib/python3.11/site-packages/pandas/io/parsers/arrow_parser_wrapper.py", line 266, in read
    table = pyarrow_csv.read_csv(
            ^^^^^^^^^^^^^^^^^^^^^
  File "pyarrow/_csv.pyx", line 1261, in pyarrow._csv.read_csv
  File "pyarrow/_csv.pyx", line 1270, in pyarrow._csv.read_csv
  File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/types.pxi", line 88, in pyarrow.lib._datatype_to_pep3118
  File "pyarrow/io.pxi", line 1843, in pyarrow.lib._cb_transform
  File "pyarrow/io.pxi", line 1884, in pyarrow.lib.Transcoder.__call__
  File "/root/conda/envs/main/lib/python3.11/encodings/ascii.py", line 26, in decode
    return codecs.ascii_decode(input, self.errors)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 10356: ordinal not in range(128)

this happens when I use encoding_errors='ignore' or encoding_errors='replace'

Expected Behavior

This should behave the same way as if I were doing this

string_io = StringIO(data.decode(encoding, errors="replace"))
df = pd.read_csv(string_io, ...)

and ignore the unicode errors in my file

Installed Versions

INSTALLED VERSIONS

commit : f538741
python : 3.11.8.final.0
python-bits : 64
OS : Linux
OS-release : 6.5.0-17-generic
Version : #17-Ubuntu SMP PREEMPT_DYNAMIC Thu Jan 11 14:20:13 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8

pandas : 2.2.0
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.8.2
setuptools : 69.1.0
pip : 24.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 15.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 2.0.27
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None

[eshaready]

take

[regieleki]

take

[eshaready]

hello! @dadrake3 could you provide us with the file or the snippet of the file that you used? we can't reproduce the bug right now with our own file with a unicode decode error, it's following the expected encoding errors = ignore behavior.