Run queries using the BigQuery DataFrames bigframes.pandas APIs
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Use the BigQuery DataFrames bigframes.pandas APIs to perform data analysis via the BigQuery Query engine.
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For detailed documentation that includes this code sample, see the following:
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\u003eUtilize the \u003ccode\u003ebigframes.pandas\u003c/code\u003e APIs to analyze data through the BigQuery Query engine.\u003c/p\u003e\n"],["\u003cp\u003eLoad data from BigQuery using \u003ccode\u003ebpd.read_gbq\u003c/code\u003e with a specified query or table.\u003c/p\u003e\n"],["\u003cp\u003eCompute aggregate statistics, such as the mean, on data in BigQuery DataFrames.\u003c/p\u003e\n"],["\u003cp\u003eUse groupby operations to find the mean of a certain variable based on a certain criteria.\u003c/p\u003e\n"]]],[],null,["# Run queries using the BigQuery DataFrames bigframes.pandas APIs\n\nUse the BigQuery DataFrames bigframes.pandas APIs to perform data analysis via the BigQuery Query engine.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Use BigQuery DataFrames](/bigquery/docs/use-bigquery-dataframes)\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 # Load data from BigQuery\n query_or_table = \"bigquery-public-data.ml_datasets.penguins\"\n bq_df = bpd.read_gbq(query_or_table)\n\n # Inspect one of the columns (or series) of the DataFrame:\n bq_df[\"body_mass_g\"]\n\n # Compute the mean of this series:\n average_body_mass = bq_df[\"body_mass_g\"].mean()\n print(f\"average_body_mass: {average_body_mass}\")\n\n # Find the heaviest species using the groupby operation to calculate the\n # mean body_mass_g:\n (\n bq_df[\"body_mass_g\"]\n .groupby(by=bq_df[\"species\"])\n .mean()\n .sort_values(ascending=False)\n .head(10)\n )\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)."]]
