| # Copyright 2019 Google LLC | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # https://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| def download_public_data() -> None: | |
| # [START bigquery_pandas_public_data] | |
| 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()) | |
| # [END bigquery_pandas_public_data] | |