from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
# TODO(developer): Set table_id to the fully-qualified table ID in standard
# SQL format, including the project ID and dataset ID.
table_id = "bigquery-public-data.usa_names.usa_1910_current"
# Use the BigQuery Storage API to speed-up downloads of large tables.
dataframe = client.list_rows(table_id).to_dataframe(create_bqstorage_client=True)
print(dataframe.info())