Fazer o download dos dados da tabela no DataFrame
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Faça o download dos dados da tabela em um DataFrame do Pandas.
Exemplo de código
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[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis content guides you on how to download table data into a Pandas DataFrame using the BigQuery Python client library.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to BigQuery is required and can be done by setting up Application Default Credentials.\u003c/p\u003e\n"],["\u003cp\u003eThe provided code sample demonstrates how to retrieve a specific table from a public dataset and convert it into a DataFrame.\u003c/p\u003e\n"],["\u003cp\u003eYou can find more code samples for Google Cloud products in the Google Cloud sample browser.\u003c/p\u003e\n"]]],[],null,["# Download table data to DataFrame\n\nDownload table data to a Pandas 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 # from google.cloud import bigquery\n # client = bigquery.Client()\n project = \"bigquery-public-data\"\n dataset_id = \"samples\"\n\n dataset_ref = bigquery.DatasetReference(project, dataset_id)\n table_ref = dataset_ref.table(\"shakespeare\")\n table = client.get_table(table_ref)\n\n df = client.list_rows(table).to_dataframe()\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)."]]
