hexpop.py
def bq_load_table(df, table_id, schema=None, write='WRITE_APPEND'):
    """Load Pandas dataframe into BigQuery table."""
    client = bq_client()
    job_config = bigquery.LoadJobConfig(
        schema=schema,
        write_disposition=write  # default append existing
    )
    job = client.load_table_from_dataframe(df, table_id, job_config=job_config)
    result = job.result()  # wait for job to complete
    return result
Load Pandas dataframe into BigQuery table.
Load Pandas dataframe into BigQuery table.
Load Pandas dataframe into BigQuery table .
def bq_load_table(df, table_id, schema=None, write='WRITE_APPEND'):
    client = bq_client()
    job_config = bigquery.LoadJobConfig(
        schema=schema,
        write_disposition=write  
    )
    job = client.load_table_from_dataframe(df, table_id, job_config=job_config)
    result = job.result()  
    return result
def bq_load_table ( df , table_id , schema = None , write = 'WRITE_APPEND' ) : client = bq_client ( ) job_config = bigquery . LoadJobConfig ( schema = schema , write_disposition = write ) job = client . load_table_from_dataframe ( df , table_id , job_config = job_config ) result = job . result ( ) return result
Load Pandas dataframe into BigQuery table.
Load Pandas dataframe into BigQuery table .
"""Load Pandas dataframe into BigQuery table.""" # default append existing # wait for job to complete
df
table_id
schema
write