pandas-gbq
==========
|preview| |pypi| |versions|
**pandas-gbq** is a package providing an interface to the Google BigQuery API from pandas.
- `Library Documentation`_
- `Product Documentation`_
.. |preview| image:: https://img.shields.io/badge/support-preview-orange.svg
:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#beta-support
.. |pypi| image:: https://img.shields.io/pypi/v/pandas-gbq.svg
:target: https://pypi.org/project/pandas-gbq/
.. |versions| image:: https://img.shields.io/pypi/pyversions/pandas-gbq.svg
:target: https://pypi.org/project/pandas-gbq/
.. _Library Documentation: https://googleapis.dev/python/pandas-gbq/latest/
.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
Installation
------------
Install latest release version via conda
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: shell
$ conda install pandas-gbq --channel conda-forge
Install latest release version via pip
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: shell
$ pip install pandas-gbq
Install latest development version
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: shell
$ pip install git+https://github.com/googleapis/python-bigquery-pandas.git
Usage
-----
Perform a query
~~~~~~~~~~~~~~~
.. code:: python
import pandas_gbq
result_dataframe = pandas_gbq.read_gbq("SELECT column FROM dataset.table WHERE value = 'something'")
Upload a dataframe
~~~~~~~~~~~~~~~~~~
.. code:: python
import pandas_gbq
pandas_gbq.to_gbq(dataframe, "dataset.table")
More samples
~~~~~~~~~~~~
See the `pandas-gbq documentation <https://googleapis.dev/python/pandas-gbq/latest/>`_ for more details.
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