|Build Status| |Gitential Active Contributors| |Gitential Coding Hours| |Gitential Efficiency|
.. |Gitential Active Contributors| image:: https://api.gitential.com/accounts/6/projects/121/badges/active-contributors.svg :alt: Gitential Efficiency :target: https://gitential.com/accounts/6/projects/121/share?uuid=4fc48389-c5e6-48c5-91d8-d11adcdd9405&utm_source=shield&utm_medium=shield&utm_campaign=121
.. |Gitential Coding Hours| image:: https://api.gitential.com/accounts/6/projects/121/badges/coding-hours.svg :alt: Gitential Efficiency :target: https://gitential.com/accounts/6/projects/121/share?uuid=4fc48389-c5e6-48c5-91d8-d11adcdd9405&utm_source=shield&utm_medium=shield&utm_campaign=121
.. |Gitential Efficiency| image:: https://api.gitential.com/accounts/6/projects/121/badges/efficiency.svg :alt: Gitential Efficiency :target: https://gitential.com/accounts/6/projects/121/share?uuid=4fc48389-c5e6-48c5-91d8-d11adcdd9405&utm_source=shield&utm_medium=shield&utm_campaign=121
Pandas interface for Clickhouse HTTP API
.. code:: bash
pip install pandahouse
Writing dataframe to clickhouse
.. code:: python
connection = {'host': 'http://clickhouse-host:8123',
'database': 'test'
affected_rows = to_clickhouse(df, table='name', connection=connection)
Reading arbitrary clickhouse query to pandas
.. code:: python
df = read_clickhouse('SELECT * FROM {db}.table', index_col='id',
connection=connection)
.. |Build Status| image:: http://drone.lensa.com:8000/api/badges/kszucs/pandahouse/status.svg :target: http://drone.lensa.com:8000/kszucs/pandahouse
Version | Tag | Published |
---|---|---|
0.2.7 | 5yrs ago | |
0.2.6 | 5yrs ago | |
0.2.5 | 5yrs ago | |
0.2.4 | 5yrs ago |