Description
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 numpy as np
import pandas as pd
def func():
cols = ['A', 'B', 'C']
df = pd.DataFrame({c: np.random.randn(500000) for c in cols})
sec_lst = [60 * m for m in range(1, 10)]
sec_lst += [60 * m for m in range(10, 30, 5)]
sec_lst += [60 * m for m in range(30, 60, 10)]
sec_lst += [60 * m for m in range(60, 120, 15)]
sec_lst += [60 * m for m in range(120, 180, 20)]
sec_lst += [60 * m for m in range(180, 600, 30)]
sec_lst += [3600 * h for h in range(10, 24)]
df_sum_dict = {}
for sec in sec_lst:
for c in cols:
try:
df_sum_dict[f'{c}{sec}'] = df[c].rolling(sec).sum()
except Exception as e:
print(f"Error processing column {c} with window {sec}: {e}")
continue
func()Issue Description
running with this loop results in the following output (Terminated is the output when I kill it because the script hangs, should run few seconds at most)
$ for i in $(seq 1 100); do python test.py $i; if [ $? -ne 0 ]; then echo $i; fi; done
Segmentation fault (core dumped)
6
Terminated
24
Terminated
41
Segmentation fault (core dumped)
42
Segmentation fault (core dumped)
43
Terminated
44
Segmentation fault (core dumped)
45
Terminated
64
Terminated
65
Segmentation fault (core dumped)
74
Segmentation fault (core dumped)
95
Expected Behavior
it should not crash or hang
Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.12.3.final.0
python-bits : 64
OS : Linux
OS-release : 6.8.0-35-generic
Version : #35-Ubuntu SMP PREEMPT_DYNAMIC Mon May 20 15:51:52 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 70.0.0
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 : 3.1.4
IPython : 8.25.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.4.0
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.6.0
gcsfs : 2024.6.0
matplotlib : 3.9.0
numba : 0.59.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 16.1.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.1
sqlalchemy : 2.0.30
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None