Closed
Description
Pandas version checks
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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
import os
import subprocess
df1 = pd.DataFrame(data={'col': range(10000000)})
df2 = pd.DataFrame(data={'col': range(10000000)})
while True:
pd.concat([df1, df2], axis=0)
cmd = f'ps --no-headers -e -o rss -q {os.getpid()}'.split()
rss = int(subprocess.check_output(cmd))
print(f'{rss = }')Issue Description
The resident set size (rss) keeps growing with this example which uses pandas.concat even though memory should be constant.
Expected Behavior
The memory should be constant.
Installed Versions
$ python3.10 -c 'import pandas; pandas.show_versions()'
INSTALLED VERSIONS
------------------
commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d
python : 3.10.0.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.6-arch2-1
Version : #1 SMP PREEMPT Thu, 02 Dec 2021 15:47:09 +0000
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.5
numpy : 1.21.3
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 57.4.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.4.3
numexpr : 2.7.3
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None