Use the BigQuery DataFrames API to explore the results of a query job that may have been started elsewhere, such as from the BigQuery Console or bq CLI.

## 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 https://docs.cloud.google.com/python/docs/reference/bigquery/latest

    import bigframes.pandas as bpd

    # Project ID inserted based on the query results selected to explore
    project = your_project_id
    # Location inserted based on the query results selected to explore
    location = "us"
    client = https://docs.cloud.google.com/python/docs/reference/bigquery/latest.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html(project=project, location=location)

    # Job ID inserted based on the query results selcted to explore
    job_id = JOB_ID
    job = client.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html#google_cloud_bigquery_client_Client_get_job(job_id)
    destination = str(https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.html.destination)

    # Load data from a BigQuery table using BigFrames DataFrames:
    bq_df = bpd.read_gbq_table(destination)

## 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).