0.17.0 (2022-01-19)
⚠ BREAKING CHANGES
- use nullable Int64 and boolean dtypes if available (#445)
Features
- accepts a table ID, which downloads the table without a query (#443) (bf0e863)
- use nullable Int64 and boolean dtypes if available (#445) (89078f8)
Bug Fixes
read_gbq
supports extreme DATETIME values such as0001-01-01 00:00:00
(#444) (d120f8f)to_gbq
allows strings for DATE and floats for NUMERIC withapi_method="load_parquet"
(#423) (2180836)- allow extreme DATE values such as
datetime.date(1, 1, 1)
inload_gbq
(#442) (e13abaf) - avoid iteritems deprecation in pandas prerelease (#469) (7379cdc)
- use data project for destination in
to_gbq
(#455) (891a00c)