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Issue with compression in to_csv method #21241
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you would have to show a reproducible example |
My apologies if I'm missing something, but shouldn't the compression value for GNU zip be, 'gzip', rather than 'gz'? https://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.DataFrame.to_csv.html |
Thank you for the responses. Well, I can't reproduce the issue with pandas 0.23.0 on my home machine, but it appears on two of my windows servers at work. I will try to make a clean install of anaconda on one of them and see what happens. yeah, @CamWhitelaw, you're absolutely right. I've actually tried to change my code before pasted it here, in original version of my code it uses gzip. |
Please let us know if re-install anaconda solved the issue. |
did some digging, it might be different default encoding which |
Hi there, Sorry for being slow. I did a clean installation of anaconda and still I get the same error. It works fine on my home machine, but fails on both servers. |
@nvm1 this should be fixed on master via the referenced PR |
Problem description
Hi there,
after upgrading to the lastest version of pandas I have an issue with the code, that worked fine on the previous version (0.22.0):
With pandas 0.23.0 I get:
If I comment compression='gz' the code works fine.
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 2012ServerR2
machine: AMD64
processor: Intel64 Family 6 Model 63 Stepping 2, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None
pandas: 0.23.0
pytest: 3.5.1
pip: 10.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: 2.7.4 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
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