BUG: to_stata() creates corrupt output file when value_labels is specified and version is 118 or greater #46750
Closed
2 of 3 tasks
Labels
Bug
IO Stata
read_stata, to_stata
Needs Triage
Issue that has not been reviewed by a pandas team member
Milestone
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
Issue Description
When attempting to open the file created by the above code in Stata 17 MP the following error message is returned:
This also occurs if version is set to 119.
I believe that this is because the space allocated for the label name is 33 bytes instead of the required 129, as the encoding is set to latin-1 by default and has not been changed to utf-8 based on the specified version.
If I change the line:
to:
in the function
_prepare_non_cat_value_labels()
in /pandas/io/stata.pyand run the example again then the file created appears to open successfully with the value labels intact.
Expected Behavior
No error message is returned, the data is loaded into Stata and the value labels are correctly applied.
Installed Versions
INSTALLED VERSIONS
commit : 4bfe3d0
python : 3.10.4.final.0
python-bits : 64
OS : Windows
OS-release : 2012ServerR2
Version : 6.3.9600
machine : AMD64
processor : Intel64 Family 6 Model 63 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 1.4.2
numpy : 1.21.5
pytz : 2022.1
dateutil : 2.8.2
pip : 22.0.4
setuptools : 62.1.0
Cython : 0.29.28
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.8.0
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.1
IPython : 8.2.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.5.1
numba : 0.55.1
numexpr : 2.8.1
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.8.0
snappy : None
sqlalchemy : 1.4.35
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
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