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# 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]