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Clients"],"sub_categories":[],"readme":"pandas-gbq\n==========\n\n|preview| |pypi| |versions|\n\n**pandas-gbq** is a package providing an interface to the Google BigQuery API from pandas.\n\n-  `Library Documentation`_\n-  `Product Documentation`_\n\n.. |preview| image:: https://img.shields.io/badge/support-preview-orange.svg\n   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#beta-support\n.. |pypi| image:: https://img.shields.io/pypi/v/pandas-gbq.svg\n   :target: https://pypi.org/project/pandas-gbq/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/pandas-gbq.svg\n   :target: https://pypi.org/project/pandas-gbq/\n.. _Library Documentation: https://googleapis.dev/python/pandas-gbq/latest/\n.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/\n\nInstallation\n------------\n\nInstall latest release version via pip\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: shell\n\n   $ pip install pandas-gbq\n\nInstall latest development version\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: shell\n\n    $ pip install git+https://github.com/googleapis/python-bigquery-pandas.git\n\n\nUsage\n-----\n\nPerform a query\n~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    import pandas_gbq\n\n    result_dataframe = pandas_gbq.read_gbq(\"SELECT column FROM dataset.table WHERE value = 'something'\")\n\nUpload a dataframe\n~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    import pandas_gbq\n\n    pandas_gbq.to_gbq(dataframe, \"dataset.table\")\n\nMore samples\n~~~~~~~~~~~~\n\nSee the `pandas-gbq documentation \u003chttps://googleapis.dev/python/pandas-gbq/latest/\u003e`_ for more 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