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B �5�g� � @ s� d Z ddlmZ ddlmZmZ ddlmZ er<ddlm Z dd� Z d d d d d d d d d dddd dd� dd�Z d dd d dd d d dd d dd� dd�Z dS ) z Google BigQuery support � )� annotations)� TYPE_CHECKING�Any)�import_optional_dependency)� DataFramec C s d} t d| d�}|S )Nzjpandas-gbq is required to load data from Google BigQuery. See the docs: https://pandas-gbq.readthedocs.io.� pandas_gbq)�extra)r )�msgr � r �C/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/io/gbq.py� _try_import s r NF�strz str | Nonezlist[str] | None�boolzdict[str, Any] | Nonez bool | Nonez int | Noner ) �query� project_id� index_col� col_order�reauth�auth_local_webserver�dialect�location� configuration�use_bqstorage_api� max_results�progress_bar_type�returnc C sX t � } i }| dk r| |d< | dk r*| |d< | |d< | j| f||||||||| d� |��S )al 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 : bool, default False Force Google BigQuery to re-authenticate the user. This is useful if multiple accounts are used. auth_local_webserver : bool, default False Use the `local webserver flow`_ instead of the `console flow`_ when getting user credentials. .. _local webserver flow: https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server .. _console flow: https://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 version. 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/>`__. 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*. 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 max_results : int, optional If set, limit the maximum number of rows to fetch from the query results. *New in version 0.12.0 of pandas-gbq*. .. versionadded:: 1.1.0 progress_bar_type : Optional, str If set, use the `tqdm <https://tqdm.github.io/>`__ library to display a progress bar while the data downloads. Install the ``tqdm`` package to use this feature. Possible values of ``progress_bar_type`` include: ``None`` No progress bar. ``'tqdm'`` Use the :func:`tqdm.tqdm` function to print a progress bar to :data:`sys.stderr`. ``'tqdm_notebook'`` Use the :func:`tqdm.tqdm_notebook` function to display a progress bar as a Jupyter notebook widget. ``'tqdm_gui'`` Use the :func:`tqdm.tqdm_gui` function to display a progress bar as a graphical dialog box. Note that this feature requires version 0.12.0 or later of the ``pandas-gbq`` package. And it requires the ``tqdm`` package. Slightly different than ``pandas-gbq``, here the default is ``None``. .. versionadded:: 1.0.0 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. Nr r r ) r r r r r r r r � credentials)r �read_gbq)r r r r r r r r r r r r r r �kwargsr r r r s( r �failTzlist[dict[str, str]] | None�None) � dataframe�destination_tabler � chunksizer � if_existsr � table_schemar � progress_barr c C s* t � } | j| ||||||||| | d� d S )N) r r# r r$ r r% r r& r )r �to_gbq) r! r" r r# r r$ r r% r r& r r r r r r' � s r' ) NNNFFNNNNNNN) NNFr FNNTN) �__doc__� __future__r �typingr r Zpandas.compat._optionalr Zpandasr r r r' r r r r �<module> s8 ( #
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