2.0.0 (2025-04-17)

⚠ BREAKING CHANGES

• make dataset and name params mandatory in udf (#1619)
• Locational endpoints support is not available in BigFrames 2.0.
• change default LLM model to gemini-2.0-flash-001, drop PaLM2TextGenerator and PaLM2TextEmbeddingGenerator (#1558)
• change default ingress setting for remote_function to internal-only (#1544)
• make remote_function params keyword only (#1537)
• make remote_function default service account explicit (#1537)
• set allow_large_results=False by default (#1541)

Features

• Add on parameter in dataframe.rolling() and dataframe.groupby.rolling() (#1556) (45c9d9f)
• Add component to manage temporary tables (#1559) (0a4e245)
• Add Series.to_pandas_batches() method (#1592) (09ce979)
• Add support for creating a Matrix Factorization model (#1330) (b5297f9)
• Allow input_types, output_type, and dataset to be used positionally in remote_function (#1560) (bcac8c6)
• Allow pandas.cut 'labels' parameter to accept a list of string (#1549) (af842b1)
• Change default ingress setting for remote_function to internal-only (#1544) (c848a80)
• Detect duplicate column/index names in read_gbq before send query. (#1615) (40d6960)
• Drop support for locational endpoints (#1542) (4bf2e43)
• Enable time range rolling for DataFrame, DataFrameGroupBy and SeriesGroupBy (#1605) (b4b7073)
• Improve local data validation (#1598) (815e471)
• Make remote_function default service account explicit (#1537) (9eb9089)
• Set allow_large_results=False by default (#1541) (e9fb712)
• Support bigquery connection in managed function (#1554) (f6f697a)
• Support bq connection path format (#1550) (e7eb918)
• Support gemini-2.0-X models (#1558) (3104fab)
• Support inlining small list, struct, json data (#1589) (2ce891f)
• Support time range rolling on Series. (#1590) (6e98a2c)
• Use session temp tables for all ephemeral storage (#1569) (9711b83)
• Use validated local storage for data uploads (#1612) (aee4159)
• Warn the deprecated max_download_size, random_state and sampling_method parameters in (DataFrame|Series).to_pandas() (#1573) (b9623da)

Bug Fixes

• to_pandas_batches() respects page_size and max_results again (#1572) (27c5905)
• Ensure page_size works correctly in to_pandas_batches when max_results is not set (#1588) (570cff3)
• Include role and service account in IAM exception (#1564) (8c50755)
• Make dataset and name params mandatory in udf (#1619) (637e860)
• Pandas.cut returns labels index for numeric breaks when labels=False (#1548) (b2375de)
• Prevent KeyError in bpd.concat with empty DF and struct/array types DF (#1568) (b4da1cf)
• Read_csv supports for tilde local paths and includes index for bigquery_stream write engine (#1580) (352e8e4)
• Use dictionaries to avoid problematic google.iam namespace (#1611) (b03e44f)

Performance Improvements

• Directly read gbq table for simple plans (#1607) (6ad38e8)

Dependencies

• Remove jellyfish dependency (#1604) (1ac0e1e)
• Remove parsy dependency (#1610) (293f676)
• Remove test dependency on pytest-mock package (#1622) (1ba72ea)
• Support a shapely versions 1.8.5+ (#1621) (e39ee3b)

Documentation

• Add details for bigquery_connection in [@bpd](https://github.com/bpd).udf docstring ([#1609](https://github.com/googleapis/python-bigq...

2.0.0.dev0 (2025-03-31)

⚠ BREAKING CHANGES

• Locational endpoints support is not available in BigFrames 2.0.
• change default LLM model to gemini-2.0-flash-001, drop PaLM2TextGenerator and PaLM2TextEmbeddingGenerator (#1558)
• change default ingress setting for remote_function to internal-only (#1544)
• make remote_function params keyword only (#1537)
• make remote_function default service account explicit (#1537)
• set allow_large_results=False by default (#1541)

Features

• Add component to manage temporary tables (#1559) (0a4e245)
• Allow input_types, output_type, and dataset to be used positionally in remote_function (#1560) (bcac8c6)
• Allow pandas.cut 'labels' parameter to accept a list of string (#1549) (af842b1)
• Change default ingress setting for remote_function to internal-only (#1544) (c848a80)
• Drop support for locational endpoints (#1542) (4bf2e43)
• Make remote_function default service account explicit (#1537) (9eb9089)
• Set allow_large_results=False by default (#1541) (e9fb712)
• Support bigquery connection in managed function (#1554) (f6f697a)
• Support bq connection path format (#1550) (e7eb918)
• Support gemini-2.0-X models (#1558) (3104fab)

Bug Fixes

• Include role and service account in IAM exception (#1564) (8c50755)
• Pandas.cut returns labels index for numeric breaks when labels=False (#1548) (b2375de)
• Prevent KeyError in bpd.concat with empty DF and struct/array types DF (#1568) (b4da1cf)

Documentation

• Add message to remove default model for version 3.0 (#1563) (910be2b)
• Add warning for bigframes 2.0 (#1557) (3f0eaa1)
• Remove gemini-1.5 deprecation warning for GeminiTextGenerator (#1562) (0cc6784)
• Use restructured text to allow publishing to PyPI (#1565) (d1e9ec2)

Miscellaneous Chores

• Make remote_function params keyword only (#1537) (9eb9089)

1.42.0 (2025-03-27)

Features

• Add closed parameter in rolling() (#1539) (8bcc89b)
• Add GeoSeries.difference() and bigframes.bigquery.st_difference() (#1471) (e9fe815)
• Add GeoSeries.intersection() and bigframes.bigquery.st_intersection() (#1529) (8542bd4)
• Add df.take and series.take (#1509) (7d00be6)
• Add Linear_Regression.global_explain() (#1446) (7e5b6a8)
• Allow iloc to support lists of negative indices (#1497) (a9cf215)
• Support dry_run in to_pandas() (#1436) (75fc7e0)
• Support window partition by geo column (#1512) (bdcb1e7)
• Upgrade BQ managed udf to preview (#1536) (4a7fe4d)

Bug Fixes

• Add deprecation warning to TextEmbeddingGenerator model, espeically gemini-1.0-X and gemini-1.5-X (#1534) (c93e720)
• Change the default value for pdf extract/chunk (#1517) (a70a607)
• Local data always has sequential index (#1514) (014bd33)
• Read_pandas inline returns None when exceeds limit (#1525) (578081e)
• Temporary fix for StreamingDataFrame not working backend bug (#1533) (6ab4ffd)
• Tolerate BQ connection service account propagation delay (#1505) (6681f1f)

Performance Improvements

• Update shape to use quer_and_wait (#1519) (34ab9b8)

Documentation

• Update GeoSeries.difference() and bigframes.bigquery.st_difference() docs (#1526) (d553fa2)

1.41.0 (2025-03-19)

Features

• Add support for the 'right' parameter in 'pandas.cut' (#1496) (8aff128)
• Support BQ managed functions through read_gbq_function (#1476) (802183d)
• Warn when the BigFrames version is more than a year old (#1455) (00e0750)

Bug Fixes

• Fix pandas.cut errors with empty bins (#1499) (434fb5d)
• Fix read_gbq with ORDER BY query and index_col set (#963) (de46d2f)

Performance Improvements

• Eliminate count queries in llm retry (#1489) (1c934c2)

Documentation

• Add a sample notebook for vector search (#1500) (f3bf139)

1.40.0 (2025-03-11)

⚠ BREAKING CHANGES

• reading JSON data as a custom arrow extension type (#1458)

Features

• Reading JSON data as a custom arrow extension type (#1458) (e720f41)
• Support list output for managed function (#1457) (461e9e0)

Bug Fixes

• Fix list-like indexers in partial ordering mode (#1456) (fe72ada)
• Fix the merge issue between 1424 and 1373 (#1461) (7b6e361)
• Use == instead of is for timedelta type equality checks (#1480) (0db248b)

Performance Improvements

• Compilation no longer bounded by recursion (#1464) (27ab028)

1.39.0 (2025-03-05)

Features

• (Preview) Support diff() for date series (#1423) (521e987)
• (Preview) Support aggregations over timedeltas (#1418) (1251ded)
• (Preview) Support arithmetics between dates and timedeltas (#1413) (962b152)
• (Preview) Support automatic load of timedelta from BQ tables. (#1429) (b2917bb)
• Add allow_large_results option to many I/O methods. Set to False to reduce latency (#1428) (dd2f488)
• Add GeoSeries.boundary() (#1435) (32cddfe)
• Add allow_large_results to peek (#1448) (67487b9)
• Add groupby.rank() (#1433) (3a633d5)
• Iloc multiple columns selection. (#1437) (ddfd02a)
• Support interface for BigQuery managed functions (#1373) (2bbf53f)
• Warn if default ingress_settings is used in remote_functions (#1419) (dfd891a)

Bug Fixes

• Do not compare schema description during schema validation (#1452) (03a3a56)
• Remove warnings for null index and partial ordering mode in prep for GA (#1431) (6785aee)
• Warn if default cloud_function_service_account is used in remote_function (#1424) (fe7463a)
• Window operations over JSON columns (#1451) (0070e77)
• Write chunked text instead of dummy text for pdf chunk (#1444) (96b0e8a)

Performance Improvements

• Speed up DataFrame corr, cov (#1309) (c598c0a)

Documentation

• Add snippet for explaining the linear regression model prediction (#1427) (7c37c7d)

1.38.0 (2025-02-24)

Features

• (Preview) Support diff aggregation for timestamp series. (#1405) (abe48d6)
• Add GeoSeries.from_wkt() and GeoSeries.to_wkt() (#1401) (2993b28)
• Support DF.array(copy=True) (#1403) (693ed8c)
• Support routines with ARRAY return type in read_gbq_function (#1412) (4b60049)

Bug Fixes

• Calling to_timdelta() over timedeltas no longer changes their values (#1411) (650a190)
• Replace empty dict with None to avoid mutable default arguments (#1416) (fa4e3ad)

Performance Improvements

• Avoid redundant SQL casts (#1399) (6ee48d5)

Dependencies

• Remove scikit-learn and sqlalchemy as required dependencies (#1296) (fd8bc89)

Documentation

• Add samples using SQL methods via the bigframes.bigquery module (#1358) (f54e768)
• Add snippets for visualizing a time series and creating a time series model for the Limit forecasted values in time series model tutorial (#1310) (c6c9120)

1.37.0 (2025-02-19)

Features

• JSON dtype support for read_pandas and Series constructor (#1391) (44f4137)
• Support add, sub, mult, div, and more between timedeltas (#1396) (ffa63d4)
• Support comparison, ordering, and filtering for timedeltas (#1387) (34d01b2)
• Support subtraction in DATETIME/TIMESTAMP columns with timedelta columns (#1390) (50ad3a5)

Bug Fixes

• Ensure binops with pandas objects returns bigquery dataframes (#1404) (3cee24b)

Performance Improvements

• Prune projections more aggressively (#1398) (7990262)
• Simplify sum aggregate SQL text (#1395) (0145656)
• Use simple null constraints to simplify queries (#1381) (00611d4)

Documentation

• Add DataFrame.struct docs (#1348) (7e9e93a)

1.36.0 (2025-02-11)

Features

• Add bigframes.bigquery.st_area and suggest it from GeoSeries.area (#1318) (8b5ffa8)
• Add GeoSeries.from_xy() (#1364) (3c3e14c)

Bug Fixes

• Dtype parameter ineffective in Series/DataFrame construction (#1354) (b9bdca8)
• Translate labels to col ids when copying dataframes (#1372) (0c55b07)
• Fixed an AttributeError related to sqlglot that occurred when using bigframes (#1379)(24962cd)

Performance Improvements

• Prune unused operations from sql (#1365) (923da03)
• Simplify merge join key coalescing (#1361) (7ae565d)

1.35.0 (2025-02-04)

Features

• Add Series.keys() (#1342) (deb015d)
• Allow case_when to change dtypes if case list contains the condition (True, some_default_value) (#1311) (5c2a2c6)
• Support python type as astype arg (#1316) (b26e135)
• Support time_series_id_col in ARIMAPlus (#1282) (97532c9)

Bug Fixes

• Exclude DataFrame and Series __call__ from unimplemented API metrics (#1351) (f2d5264)
• Make DataFrame __getattr__ and __setattr__ more robust to subclassing (#1352) (417de3a)

Performance Improvements

• Fall back to ordering by bq pk when possible (#1350) (3c4abf2)
• Improve isin performance (#1203) (db087b0)
• Prevent inlining of remote ops (#1347) (012081a)

Dependencies

• Add support for Python 3.13 for everything but remote functions (#1307) (533db96)

Documentation

• Add GeoSeries docs (#1327) (05f83d1)
• Add link to DataFrames intro to improve SEO (#1176) (aafb5be)
• Add snippet to explain the univariate model's forecast result in the Forecast a single time series with a univariate model tutorial (#1272) (c22126b)