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BUG: The lines skipped by pd.read_csv(path, chunksize=n, on_bad_lines='skip') depends on n. #61973

@alexbra1

Description

@alexbra1

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

content = "a,b\n1,2\n3\n4,5,extra\n6,7"
with open("malformed.csv", "w", newline="") as f:
    f.write(content)
path = "malformed.csv"
print(f"Processing file: {path} with chunksize=3")
for chunk in pd.read_csv(path, chunksize=3, on_bad_lines="skip"):
    print(chunk)

# Output:
# Processing file: malformed.csv with chunksize=3
#   a    b
# 0  1  2.0
# 1  3  NaN
# 2  6  7.0

print(f"Processing file: {path} with chunksize=2")
for chunk in pd.read_csv(path, chunksize=2, on_bad_lines="skip"):
    print(chunk)

# Output:
# Processing file: malformed.csv with chunksize=2
#    a    b
# 0  1  2.0
# 1  3  NaN
#    a  b
# 2  4  5
# 3  6  7

Issue Description

Depending on the chunksize parameter, some rows are skipped or not.

Expected Behavior

The rows that are skipped should be independent of chunksize.

Installed Versions

INSTALLED VERSIONS

commit : c888af6
python : 3.12.3
python-bits : 64
OS : Linux
OS-release : 6.6.87.2-microsoft-standard-WSL2
Version : #1 SMP PREEMPT_DYNAMIC Thu Jun 5 18:30:46 UTC 2025
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : None
LOCALE : C.UTF-8

pandas : 2.3.1
numpy : 2.3.2
pytz : 2025.2
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None
None

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