Creare un DataFrame BigQuery da un file CSV in GCS
Mantieni tutto organizzato con le raccolte
Salva e classifica i contenuti in base alle tue preferenze.
Utilizza l'API BigQuery DataFrames per trasformare un file CSV in Google Cloud Storage in un DataFrame BigQuery.
Esempio di codice
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],[],[[["\u003cp\u003eThe BigQuery DataFrames API can be used to transform a CSV file stored in Google Cloud Storage into a BigQuery DataFrame.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ebpd.read_csv()\u003c/code\u003e function is used to read the CSV file from Google Cloud Storage, with the file path specified as a parameter.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to BigQuery can be achieved by setting up Application Default Credentials, following the provided guide for client libraries.\u003c/p\u003e\n"],["\u003cp\u003eThe code example uses the \u003ccode\u003ebigframes.pandas\u003c/code\u003e library and displays the first few rows of the created DataFrame with \u003ccode\u003edf_from_gcs.head()\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,["# Create a BigQuery DataFrame from a CSV file in GCS\n\nUse the BigQuery DataFrames API to turn a CSV file in Google Cloud Storage into a BigQuery 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 import bigframes.pandas as bpd\n\n filepath_or_buffer = \"gs://cloud-samples-data/bigquery/us-states/us-states.csv\"\n df_from_gcs = bpd.read_csv(filepath_or_buffer)\n # Display the first few rows of the DataFrame:\n df_from_gcs.head()\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)."]]
