Crea un BigQuery DataFrame desde un archivo CSV en GCS
Organiza tus páginas con colecciones
Guarda y categoriza el contenido según tus preferencias.
Usa la API de BigQuery DataFrame para convertir un archivo CSV de Google Cloud Storage en un BigQuery DataFrame.
Muestra de código
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","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)."]]