Create a BigQuery DataFrame from a table
Stay organized with collections
Save and categorize content based on your preferences.
Use the BigQuery DataFrames API to turn a table into a BigQuery DataFrame
Code sample
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License
, and code samples are licensed under the Apache 2.0 License
. For details, see the Google Developers Site Policies
. Java is a registered trademark of Oracle and/or its affiliates.
[[["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 DataFrames API facilitates the conversion of a table into a BigQuery DataFrame.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ebpd.read_gbq()\u003c/code\u003e method is used to create a DataFrame from a specified BigQuery table or query.\u003c/p\u003e\n"],["\u003cp\u003ePython setup instructions for BigQuery are detailed in the quickstart guide using client libraries.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication with BigQuery requires setting up Application Default Credentials, as outlined in the documentation.\u003c/p\u003e\n"]]],[],null,["# Create a BigQuery DataFrame from a table\n\nUse the BigQuery DataFrames API to turn a table 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 # Create a DataFrame from a BigQuery table:\n import bigframes.pandas as bpd\n\n query_or_table = \"bigquery-public-data.ml_datasets.penguins\"\n bq_df = bpd.read_gbq(query_or_table)\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)."]]
