Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the master branch of pandas.
Reproducible Example
import pandas as pd
data = pd.read_sas('testdata4_nocompress.sas7bdat', format='sas7bdat', encoding='big5', chunksize=5000)
for d in data:
print(d)Issue Description
Hi teams, when I use read_sas to read my SAS dataset, it always occur segmentation fault in for loop
Expected Behavior
It should print every chunksize with 5,000 rows in for loop.
Installed Versions
INSTALLED VERSIONS
commit : 945c9ed
python : 3.9.1.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.17763
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : zh_TW.UTF-8
LOCALE : Chinese (Traditional)_Taiwan.950
pandas : 1.3.4
numpy : 1.21.0
pytz : 2021.1
dateutil : 2.8.1
pip : 20.2.3
setuptools : 49.2.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None