specify geographical location of table in pandas read_gbq

I am having trouble setting the geographical location in pandas.read_gbq.

In google.cloud.bigquery I can set the location to asia-northeast1 the following:

from google.cloud import bigquery
bigquery_client = bigquery.Client(project_name)    
query_job = bigquery_client.query(query, location='asia-northeast1')

However, I fail to do this in read_gbq. The following seems not to work:

from pandas_gbq import gbq    
dat = gbq.read_gbq(query, project_id=project_name, jobReference={'location':'asia-northeast1'}, dialect='standard')

[tswast]

I think the proper fix here is to add a location parameter to read_gbq and to_gbq so that we can pass it on to the google-cloud-bigquery library when we run the query or load job.

Aside: I’d like to make this less verbose once there is a way to set a default location in the BigQuery client object. https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5148

[tswast]

Version 0.5.0 is now released to PyPI with this fix. Next steps are to add the location parameters to Pandas.