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Showing content from http://pandas.pydata.org/pandas-docs/version/0.20/generated/pandas.DataFrame.to_gbq.html below:

pandas.DataFrame.to_gbq — pandas 0.20.3 documentation

dataframe : DataFrame

DataFrame to be written

destination_table : string

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

project_id : str

Google BigQuery Account project ID.

chunksize : int (default 10000)

Number of rows to be inserted in each chunk from the dataframe.

verbose : boolean (default True)

Show percentage complete

reauth : boolean (default False)

Force Google BigQuery to reauthenticate the user. This is useful if multiple accounts are used.

if_exists : {‘fail’, ‘replace’, ‘append’}, default ‘fail’

‘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.

private_key : str (optional)

Service account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host)


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