Download table data to a Pandas DataFrame.

## Code sample

### Python


Before trying this sample, follow the Python setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Python API
reference documentation](https://docs.cloud.google.com/python/docs/reference/bigquery/latest).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication#client-libs).

    # from google.cloud import bigquery
    # client = bigquery.Client()
    project = "bigquery-public-data"
    dataset_id = "samples"

    dataset_ref = bigquery.DatasetReference(project, dataset_id)
    table_ref = dataset_ref.table("shakespeare")
    table = client.get_table(table_ref)

    df = client.list_rows(table).to_dataframe()

## What's next


To search and filter code samples for other Google Cloud products, see the
[Google Cloud sample browser](https://docs.cloud.google.com/docs/samples?product=bigquery).