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to_parquet method should accept index=False option #20768

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scottlittle opened this issue Apr 20, 2018 · 0 comments · Fixed by #22266
Closed

to_parquet method should accept index=False option #20768

scottlittle opened this issue Apr 20, 2018 · 0 comments · Fixed by #22266
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@scottlittle
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Code Sample, a copy-pastable example if possible

# for example, index should be accepted, like so:
df.to_parquet( 'my_parquet_file.parquet', compression='gzip', index=False )

Problem description

[this should explain why the current behaviour is a problem and why the expected output is a better solution.]

Note: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates!

Note: Many problems can be resolved by simply upgrading pandas to the latest version. Before submitting, please check if that solution works for you. If possible, you may want to check if master addresses this issue, but that is not necessary.

For documentation-related issues, you can check the latest versions of the docs on master here:

https://pandas-docs.github.io/pandas-docs-travis/

If the issue has not been resolved there, go ahead and file it in the issue tracker.

Expected Output

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-77-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.22.0
pytest: 3.2.5
pip: 9.0.1
setuptools: 39.0.1
Cython: 0.28.1
numpy: 1.14.2
scipy: 0.19.1
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.7.2
patsy: 0.5.0
dateutil: 2.7.2
pytz: 2018.3
blosc: None
bottleneck: None
tables: None
numexpr: 2.6.2
feather: None
matplotlib: 2.0.2
openpyxl: 2.5.1
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: 4.2.1
bs4: 4.6.0
html5lib: 0.999999999
sqlalchemy: 1.2.5
pymysql: None
psycopg2: 2.7.4 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: 0.1.4
pandas_gbq: None
pandas_datareader: None

@TomAugspurger TomAugspurger added this to the Next Major Release milestone Apr 20, 2018
@jreback jreback modified the milestones: Contributions Welcome, 0.24.0 Aug 20, 2018
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