Use the BigQuery DataFrames API to turn a CSV file in Google Cloud Storage into a BigQuery 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).

    import bigframes.pandas as bpd

    filepath_or_buffer = "gs://cloud-samples-data/bigquery/us-states/us-states.csv"
    df_from_gcs = bpd.read_csv(filepath_or_buffer)
    # Display the first few rows of the DataFrame:
    df_from_gcs.head()

## 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).