pandas.io.gbq.to_gbq

pandas.io.gbq.to_gbq(dataframe, destination_table, schema=None, col_order=None, if_exists='fail', **kwargs)

Write a DataFrame to a Google BigQuery table.

THIS IS AN EXPERIMENTAL LIBRARY

If the table exists, the DataFrame will be appended. If not, a new table will be created, in which case the schema will have to be specified. By default, rows will be written in the order they appear in the DataFrame, though the user may specify an alternative order.

Parameters :

dataframe : DataFrame

DataFrame to be written

destination_table : string

name of table to be written, in the form ‘dataset.tablename’

schema : sequence (optional)

list of column types in order for data to be inserted, e.g. [‘INTEGER’, ‘TIMESTAMP’, ‘BOOLEAN’]

col_order : sequence (optional)

order which columns are to be inserted, e.g. [‘primary_key’, ‘birthday’, ‘username’]

if_exists : {‘fail’, ‘replace’, ‘append’} (optional)

• fail: If table exists, do nothing.
• replace: If table exists, drop it, recreate it, and insert data.
• append: If table exists, insert data. Create if does not exist.

kwargs are passed to the Client constructor

Raises :

SchemaMissing :

Raised if the ‘if_exists’ parameter is set to ‘replace’, but no schema is specified

TableExists :

Raised if the specified ‘destination_table’ exists but the ‘if_exists’ parameter is set to ‘fail’ (the default)

InvalidSchema :

Raised if the ‘schema’ parameter does not match the provided DataFrame