.. pydruid documentation master file, created by
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Welcome to pydruid's documentation!
===================================
pydruid exposes a simple API to create, execute, and analyze `Druid `_ queries. pydruid can parse query results into `Pandas `_ DataFrame objects for subsequent data analysis, which offers a tight integration between `Druid `_, the `SciPy `_ stack (for scientific computing) and `scikit-learn `_ (for machine learning). Additionally, pydruid can export query results into TSV or JSON for further processing with your favorite tool, e.g., R, Julia, Matlab, or Excel.
Below is a reference for the PyDruid class, describing the functions to use for querying and exporting, complete with examples. For additional examples, see the `pydruid README `_.
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:maxdepth: 2
:caption: Contents:
pydruid.client module
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.. automodule:: pydruid.client
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pydruid.async_client module
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.. automodule:: pydruid.async_client
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pydruid.query module
--------------------
.. automodule:: pydruid.query
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pydruid.utils.aggregators module
--------------------------------
.. automodule:: pydruid.utils.aggregators
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pydruid.utils.dimensions module
-------------------------------
.. automodule:: pydruid.utils.dimensions
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pydruid.utils.filters module
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.. automodule:: pydruid.utils.filters
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pydruid.utils.having module
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.. automodule:: pydruid.utils.having
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pydruid.utils.postaggregator module
-----------------------------------
.. automodule:: pydruid.utils.postaggregator
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Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`