to_gbq . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994 25.10.3 Authentication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 995 25.10 for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore Documentation is available at https://developers. google.com/api-client-library/python/apis/bigquery/v2 Authentication to the Google BigQuery service is via OAuth 2.0. •If “private_key” is not provided: By default

to_gbq . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 996 25.10.3 Authentication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997 25.10 for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore Documentation is available at https://developers. google.com/api-client-library/python/apis/bigquery/v2 Authentication to the Google BigQuery service is via OAuth 2.0. •If “private_key” is not provided: By default

for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore Google BigQuery API Client Library v2 for Python is used. Documentation is available here Authentication to the Google BigQuery service is via OAuth 2.0. • If “private_key” is not provided: By default 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) dialect : {‘legacy’, ‘standard’}, default ‘legacy’

for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore Google BigQuery API Client Library v2 for Python is used. Documentation is available here Authentication to the Google BigQuery service is via OAuth 2.0. • If “private_key” is not provided: By default 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) dialect : {‘legacy’, ‘standard’}, default ‘legacy’

for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore BigQuery and read results into a pandas DataFrame. This function requires the pandas-gbq package. Authentication to the Google BigQuery service is via OAuth 2.0. • If “private_key” is not provided: By default 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) dialect : {‘legacy’, ‘standard’}, default ‘legacy’

requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str 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 requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters destination_table [str] Name of table to be written, in the form dataset

requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str 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 requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters destination_table [str] Name of table to be written, in the form dataset

requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. 6.1. Input/Output 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 requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. 6.4. DataFrame 1601 pandas: powerful Python data analysis toolkit, Release 0

Documentation for the API is available at https://developers.google.com/api-client-library/python/. Authentication to the Google BigQuery service is via OAuth 2.0 using the product name ‘pandas GBQ’. Parameters launch, a code will be provided to complete the process manually. Additional information on the authentication mechanism can be found here. You can define which column from BigQuery to use as an index in Documentation for the API is available at https://developers.google.com/api-client-library/python/. Authentication to the Google BigQuery service is via OAuth 2.0 using the product name ‘pandas GBQ’. Parameters

requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters destination_table [str] Name of table to be written, in the form dataset for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore