def read_gbq(query, project_id=None, index_col=None, col_order=None,<EOL>reauth=False, auth_local_webserver=False, dialect=None,<EOL>location=None, configuration=None, credentials=None,<EOL>use_bqstorage_api=None, private_key=None, verbose=None):
pandas_gbq = _try_import()<EOL>kwargs = {}<EOL>if use_bqstorage_api is not None:<EOL><INDENT>kwargs["<STR_LIT>"] = use_bqstorage_api<EOL><DEDENT>if verbose is not None:<EOL><INDENT>kwargs["<STR_LIT>"] = verbose<EOL><DEDENT>if private_key is not None:<EOL><INDENT>kwargs["<STR_LIT>"] = private_key<EOL><DEDENT>return pandas_gbq.read_gbq(<EOL>query, project_id=project_id, index_col=index_col,<EOL>col_order=col_order, reauth=reauth,<EOL>auth_local_webserver=auth_local_webserver, dialect=dialect,<EOL>location=location, configuration=configuration,<EOL>credentials=credentials, **kwargs)<EOL>
Load data from Google BigQuery.

This function requires the `pandas-gbq package
<https://pandas-gbq.readthedocs.io>`__.

See the `How to authenticate with Google BigQuery
<https://pandas-gbq.readthedocs.io/en/latest/howto/authentication.html>`__
guide for authentication instructions.

Parameters
----------
query : str
    SQL-Like Query to return data values.
project_id : str, optional
    Google BigQuery Account project ID. Optional when available from
    the environment.
index_col : str, optional
    Name of result column to use for index in results DataFrame.
col_order : list(str), optional
    List of BigQuery column names in the desired order for results
    DataFrame.
reauth : boolean, default False
    Force Google BigQuery to re-authenticate the user. This is useful
    if multiple accounts are used.
auth_local_webserver : boolean, default False
    Use the `local webserver flow`_ instead of the `console flow`_
    when getting user credentials.

    .. _local webserver flow:
        http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
    .. _console flow:
        http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console

    *New in version 0.2.0 of pandas-gbq*.
dialect : str, default 'legacy'
    Note: The default value is changing to 'standard' in a future verion.

    SQL syntax dialect to use. Value can be one of:

    ``'legacy'``
        Use BigQuery's legacy SQL dialect. For more information see
        `BigQuery Legacy SQL Reference
        <https://cloud.google.com/bigquery/docs/reference/legacy-sql>`__.
    ``'standard'``
        Use BigQuery's standard SQL, which is
        compliant with the SQL 2011 standard. For more information
        see `BigQuery Standard SQL Reference
        <https://cloud.google.com/bigquery/docs/reference/standard-sql/>`__.

    .. versionchanged:: 0.24.0
location : str, optional
    Location where the query job should run. See the `BigQuery locations
    documentation
    <https://cloud.google.com/bigquery/docs/dataset-locations>`__ for a
    list of available locations. The location must match that of any
    datasets used in the query.

    *New in version 0.5.0 of pandas-gbq*.
configuration : dict, optional
    Query config parameters for job processing.
    For example:

        configuration = {'query': {'useQueryCache': False}}

    For more information see `BigQuery REST API Reference
    <https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query>`__.
credentials : google.auth.credentials.Credentials, optional
    Credentials for accessing Google APIs. Use this parameter to override
    default credentials, such as to use Compute Engine
    :class:`google.auth.compute_engine.Credentials` or Service Account
    :class:`google.oauth2.service_account.Credentials` directly.

    *New in version 0.8.0 of pandas-gbq*.

    .. versionadded:: 0.24.0
use_bqstorage_api : bool, default False
    Use the `BigQuery Storage API
    <https://cloud.google.com/bigquery/docs/reference/storage/>`__ to
    download query results quickly, but at an increased cost. To use this
    API, first `enable it in the Cloud Console
    <https://console.cloud.google.com/apis/library/bigquerystorage.googleapis.com>`__.
    You must also have the `bigquery.readsessions.create
    <https://cloud.google.com/bigquery/docs/access-control#roles>`__
    permission on the project you are billing queries to.

    This feature requires version 0.10.0 or later of the ``pandas-gbq``
    package. It also requires the ``google-cloud-bigquery-storage`` and
    ``fastavro`` packages.

    .. versionadded:: 0.25.0
private_key : str, deprecated
    Deprecated in pandas-gbq version 0.8.0. Use the ``credentials``
    parameter and
    :func:`google.oauth2.service_account.Credentials.from_service_account_info`
    or
    :func:`google.oauth2.service_account.Credentials.from_service_account_file`
    instead.

    Service account private key in JSON format. Can be file path
    or string contents. This is useful for remote server
    authentication (eg. Jupyter/IPython notebook on remote host).
verbose : None, deprecated
    Deprecated in pandas-gbq version 0.4.0. Use the `logging module to
    adjust verbosity instead
    <https://pandas-gbq.readthedocs.io/en/latest/intro.html#logging>`__.

Returns
-------
df: DataFrame
    DataFrame representing results of query.

See Also
--------
pandas_gbq.read_gbq : This function in the pandas-gbq library.
DataFrame.to_gbq : Write a DataFrame to Google BigQuery.