v0.17.6

0.17.6 (2022-06-03)

Documentation

• fix changelog header to consistent size (#529) (218e06a)

v0.17.5

0.17.5 (2022-05-09)

Bug Fixes

• deps: allow pyarrow v8 (#525) (a4ee0df)

v0.17.4

0.17.4 (2022-03-14)

Bug Fixes

• avoid deprecated "out-of-band" authentication flow (#500) (4758e3a)
• correctly transform query job timeout configuration and exceptions (#492) (d8c3900)

v0.17.3

0.17.3 (2022-03-05)

Bug Fixes

• deps: require google-api-core>=1.31.5, >=2.3.2 (#493) (744a71c)
• deps: require google-auth>=1.25.0 (744a71c)
• deps: require proto-plus>=1.15.0 (744a71c)

v0.17.2

0.17.2 (2022-03-02)

Dependencies

• allow pyarrow 7.0 (#487) (39441b6)

v0.17.1

0.17.1 (2022-02-24)

Bug Fixes

• avoid TypeError when executing DML statements with read_gbq (#483) (e9f0e3f)

Documentation

• document additional breaking change in 0.17.0 (#477) (a858c80)

v0.17.0

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 as 0001-01-01 00:00:00 (#444) (d120f8f)
• to_gbq allows strings for DATE and floats for NUMERIC with api_method="load_parquet" (#423) (2180836)
• allow extreme DATE values such as datetime.date(1, 1, 1) in load_gbq (#442) (e13abaf)
• avoid iteritems deprecation in pandas prerelease (#469) (7379cdc)
• use data project for destination in to_gbq (#455) (891a00c)

Miscellaneous Chores

• release 0.17.0 (#470) (29ac8c3)

v0.16.0

Features

• to_gbq uses Parquet by default, use api_method="load_csv" for old behavior (#413) (9a65383)
• allow Python 3.10 (#417) (faba940)

Miscellaneous Chores

• release 0.16.0 (#415) (ea0f4e9)

Documentation

• clarify table_schema (#383) (326e674)

Version 0.15.0

Features

• Load DataFrame with to_gbq to a table in a project different from
  the API client project. Specify the target table ID as
  project.dataset.table to use this feature. (#321, #347)
• Allow billing project to be separate from destination table project
  in to_gbq. (#321)

Bug fixes

• Avoid 403 error from to_gbq when table has policyTags. (#354)
• Avoid client.dataset deprecation warnings. (#312)

Dependencies

• Drop support for Python 3.5 and 3.6. (#337)
• Drop support for google-cloud-bigquery==2.4.* due to query
  hanging bug. (#343)

Version 0.14.1

• Use object dtype for TIME columns. (#328)
• Encode floating point values with greater precision. (#326)
• Support INT64 and other standard SQL aliases in
  pandas_gbq.to_gbq table_schema argument. (#322)

https://pypi.org/project/pandas-gbq/0.14.1/