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pandahouse

Pandas interface for Clickhouse HTTP API

  • 0.2.7
  • PyPI
  • Socket score

Maintainers
1

|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

Pandahouse

Pandas interface for Clickhouse HTTP API

Install

.. code:: bash

pip install pandahouse

Usage

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

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