Supported Data Types¶
Pandas supports all these BigQuery data types:
FLOAT (64 bit),
TIMESTAMP (microsecond precision). Data types
are not supported.
Because some requests take some time, this library will log its progress of longer queries. IPython & Jupyter by default attach a handler to the logger. If you’re running in another process and want to see logs, or you want to see more verbose logs, you can do something like:
import logging import sys logger = logging.getLogger('pandas_gbq') logger.setLevel(logging.DEBUG) logger.addHandler(logging.StreamHandler(stream=sys.stdout))