Download public table data to DataFrame
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Use the BigQuery Storage API to speed up downloads of large tables to DataFrame.
Code sample
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThe BigQuery Storage API can be used to accelerate the download of large tables into DataFrames.\u003c/p\u003e\n"],["\u003cp\u003eThe provided code sample demonstrates how to use the BigQuery Python client library to access and download a table.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to BigQuery is required, and Application Default Credentials can be set up for this purpose.\u003c/p\u003e\n"],["\u003cp\u003eThe code sample uses the \u003ccode\u003elist_rows().to_dataframe(create_bqstorage_client=True)\u003c/code\u003e to efficiently transfer the BigQuery data into a DataFrame.\u003c/p\u003e\n"]]],[],null,["# Download public table data to DataFrame\n\nUse the BigQuery Storage API to speed up downloads of large tables to DataFrame.\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[BigQuery quickstart using\nclient libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n\n\nFor more information, see the\n[BigQuery Python API\nreference documentation](/python/docs/reference/bigquery/latest).\n\n\nTo authenticate to BigQuery, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for client libraries](/bigquery/docs/authentication#client-libs).\n\n\n from google.cloud import https://cloud.google.com/python/docs/reference/bigquery/latest/\n\n # Construct a BigQuery client object.\n client = https://cloud.google.com/python/docs/reference/bigquery/latest/.https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html()\n\n # TODO(developer): Set table_id to the fully-qualified table ID in standard\n # SQL format, including the project ID and dataset ID.\n table_id = \"bigquery-public-data.usa_names.usa_1910_current\"\n\n # Use the BigQuery Storage API to speed-up downloads of large tables.\n dataframe = client.https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html#google_cloud_bigquery_client_Client_list_rows(table_id).to_dataframe(create_bqstorage_client=True)\n\n print(dataframe.info())\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=bigquery)."]]
