code: def read_gbq(
      query,
      project_id=None,
      index_col=None,
      col_order=None,
      reauth=False,
      auth_local_webserver=False,
      dialect=None,
      location=None,
      configuration=None,
      credentials=None,
      private_key=None,
      verbose=None,
  ):
      """
      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
      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.
      pandas.DataFrame.to_gbq : Write a DataFrame to Google BigQuery.
      """
      pandas_gbq = _try_import()
  
      if dialect is None:
          dialect = "legacy"
          warnings.warn(
              'The default value for dialect is changing to "standard" in a '
              'future version of pandas-gbq. Pass in dialect="legacy" to '
              "disable this warning.",
              FutureWarning,
              stacklevel=2,
          )
  
      return pandas_gbq.read_gbq(
          query,
          project_id=project_id,
          index_col=index_col,
          col_order=col_order,
          reauth=reauth,
          auth_local_webserver=auth_local_webserver,
          dialect=dialect,
          location=location,
          configuration=configuration,
          credentials=credentials,
          verbose=verbose,
          private_key=private_key,
      )
  
imports: import warnings
label_desc: Use image node_id 2 for calling a global function with example usage: read_gbq(query, project_id, index_col, col_order, reauth, auth_local_webserver, dialect, location, configuration, credentials, private_key, verbose) and returns: pandas_gbq