Pandas CSV Issues

[rmfooty]

Hi all, and thank you for your help in advance.

I am experiencing a strange issue with Pandas. I have a program that reads an entire CSV into a dataframe, changes the contents of the dataframe and writes the whole CSV back to disk. Unfortunately when the CSV or dataframe reaches 365 records, it either reads the first 365 records or write the first 365 records.

Has anyone else had an issue with this?

INSTALLED VERSIONS
------------------
commit : None
python : 3.8.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.13.0-1022-aws
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8



pandas : 0.25.3
numpy : 1.17.4
pytz : 2021.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 52.0.0
Cython : None
pytest : 4.6.9
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.0.2
lxml.etree : 4.5.0
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.3
IPython : None
pandas_datareader: None
bs4 : 4.9.3
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : 4.5.0
matplotlib : 3.1.2
numexpr : 2.7.1
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.3.3
sqlalchemy : None
tables : 3.6.1
xarray : None
xlrd : 2.0.1
xlwt : 1.3.0
xlsxwriter : 3.0.2