Write a Pandas DataFrame to Google Cloud Storage or BigQuery

Question

Hello and thanks for your time and consideration. I am developing a Jupyter Notebook in the Google Cloud Platform / Datalab. I have created a Pandas DataFrame and would like

Answer 1

Writing a Pandas DataFrame to BigQuery

Update on @Anthonios Partheniou's answer.
The code is a bit different now - as of Nov. 29 2017

To define a BigQuery dataset

Pass a tuple containing project_id and dataset_id to bq.Dataset.

# define a BigQuery dataset    
bigquery_dataset_name = ('project_id', 'dataset_id')
dataset = bq.Dataset(name = bigquery_dataset_name)

To define a BigQuery table

Pass a tuple containing project_id, dataset_id and the table name to bq.Table.

# define a BigQuery table    
bigquery_table_name = ('project_id', 'dataset_id', 'table_name')
table = bq.Table(bigquery_table_name)

Create the dataset/ table and write to table in BQ

# Create BigQuery dataset
if not dataset.exists():
    dataset.create()

# Create or overwrite the existing table if it exists
table_schema = bq.Schema.from_data(dataFrame_name)
table.create(schema = table_schema, overwrite = True)

# Write the DataFrame to a BigQuery table
table.insert(dataFrame_name)