Load a DataFrame to BigQuery with pandas-gbq

Use the pandas-gbq package to load a DataFrame to BigQuery.

Code sample


Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Python API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

import pandas
import pandas_gbq

# TODO: Set project_id to your Google Cloud Platform project ID.
# project_id = "my-project"

# TODO: Set table_id to the full destination table ID (including the
#       dataset ID).
# table_id = 'my_dataset.my_table'

df = pandas.DataFrame(
        "my_string": ["a", "b", "c"],
        "my_int64": [1, 2, 3],
        "my_float64": [4.0, 5.0, 6.0],
        "my_bool1": [True, False, True],
        "my_bool2": [False, True, False],
        "my_dates": pandas.date_range("now", periods=3),

pandas_gbq.to_gbq(df, table_id, project_id=project_id)

What's next

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