v2.9.0

2.9.0 (2025-06-30)

Features

• Add bpd.read_arrow to convert an Arrow object into a bigframes DataFrame (#1855) (633bf98)
• Add experimental polars execution (#1747) (daf0c3b)
• Add size op support in local engine (#1865) (942e66c)
• Create deploy_remote_function and deploy_udf functions to immediately deploy functions to BigQuery (#1832) (c706759)
• Support index item assign in Series (#1868) (c5d251a)
• Support item assignment in series (#1859) (25684ff)
• Support local execution of comparison ops (#1849) (1c45ccb)

Bug Fixes

• Fix bug selecting column repeatedly (#1858) (cc339e9)
• Fix bug with DataFrame.agg for string values (#1870) (81e4d64)
• Generate GoogleSQL instead of legacy SQL data types for dry_run=True from bpd._read_gbq_colab with local pandas DataFrame (#1867) (fab3c38)
• Revert dict back to protobuf in the iam binding update (#1838) (9fb3cb4)

Documentation

• Add data visualization samples for public doc (#1847) (15e1277)
• Changed broken logo (#1866) (e3c06b4)
• Update ai.forecast notebook (#1844) (1863538)

v2.8.0

2.8.0 (2025-06-23)

⚠ BREAKING CHANGES

• add required param 'engine' to multimodal functions (#1834)

Features

• Add bpd.options.compute.maximum_result_rows option to limit client data download (#1829) (e22a3f6)
• Add bpd.options.display.repr_mode = "anywidget" to create an interactive display of the results (#1820) (be0a3cf)
• Add DataFrame.ai.forecast() support (#1828) (7bc7f36)
• Add describe() method to Series (#1827) (a4205f8)
• Add required param 'engine' to multimodal functions (#1834) (37666e4)

Performance Improvements

• Produce simpler sql (#1836) (cf9c22a)

Documentation

• Add ai.forecast notebook (#1840) (2430497)

v2.7.0

2.7.0 (2025-06-16)

Features

• Add bbq.json_query_array and warn bbq.json_extract_array deprecated (#1811) (dc9eb27)
• Add bbq.json_value_array and deprecate bbq.json_extract_string_array (#1818) (019051e)
• Add groupby cumcount (#1798) (18f43e8)
• Support custom build service account in remote_function (#1796) (e586151)

Bug Fixes

• Correct read_csv behaviours with use_cols, names, index_col (#1804) (855031a)
• Fix single row broadcast with null index (#1803) (080eb7b)

Documentation

• Document how to use ai.map() for information extraction (#1808) (b586746)
• Rearrange README.rst to include a short code sample (#1812) (f6265db)
• Use pandas API instead of pandas-like or pandas-compatible (#1825) (aa32369)

v2.6.0

2.6.0 (2025-06-09)

Features

• Add blob.transcribe function (#1773) (86159a7)
• Implement ai.classify() (#1781) (8af26d0)
• Implement item() for Series and Index (#1792) (d2154c8)
• Implement ST_ISCLOSED geography function (#1789) (36bc179)
• Implement ST_LENGTH geography function (#1791) (c5b7fda)
• Support isin with bigframes.pandas.Index arg (#1779) (e480d29)

Bug Fixes

• Address read_csv with both index_col and use_cols behavior inconsistency with pandas (#1785) (ba7c313)
• Allow KMeans model init parameter as k-means++ alias (#1790) (0b59cf1)
• Replace function now can handle bpd.NA value. (#1786) (7269512)

Documentation

• Adjust strip method examples to match latest pandas (#1797) (817b0c0)
• Fix docstrings to improve html rendering of code examples (#1788) (38d9b73)

v2.5.0

2.5.0 (2025-05-30)

⚠ BREAKING CHANGES

• the updated ai.map() parameter list is not backward-compatible

Features

• Add bpd.options.bigquery.requests_transport_adapters option (#1755) (bb45db8)
• Add bbq.json_query and warn bbq.json_extract deprecated (#1756) (ec81dd2)
• Add bpd.options.reset() method (#1743) (36c359d)
• Add DataFrame.round method (#1742) (3ea6043)
• Add deferred data uploading (#1720) (1f6442e)
• Add deprecation warning to Gemini-1.5-X, text-embedding-004, and remove remove legacy models in notebooks and docs (#1723) (80aad9a)
• Add structured output for ai map, ai filter and ai join (#1746) (133ac6b)
• Add support for df.loc[list, column(s)] (#1761) (768a757)
• Include bq schema and query string in dry run results (#1752) (bb51147)
• Support inplace=True in rename and rename_axis (#1744) (734cc65)
• Support unique() for Index (#1750) (27fac78)
• Support astype conversions to and from JSON dtypes (#1716) (8ef4de1)
• Support dict param for dataframe.agg() (#1772) (f9c29c8)
• Support dtype parameter in read_csv for bigquery engine (#1749) (50dca4c)
• Use read api for some peek ops (#1731) (108f4d2)

Bug Fixes

• Fix clip int series with float bounds (#1739) (d451aef)
• Fix error with self-merge operations (#1774) (e5fe143)
• Fix the default value for na_value for numpy conversions (#1766) (0629cac)
• Include location in Session-based temporary storage manager DDL queries (#1780) (acba032)
• Prevent creating unnecessary client objects in multithreaded environments (#1757) (1cf9f5e)
• Reduce bigquery table modification via DML for to_gbq (#1737) (545cdca)
• Stop ignoring arguments to MatrixFactorization.score(X, y) (#1726) (55c07e9)
• Support JSON and STRUCT for bbq.sql_scalar (#1754) (190390b)
• Support str.replace re.compile with flags (#1736) (f8d2cd2)

Performance Improvements

• Faster local data comparison using idenitity (#1738) (2858b1e)
• Optimize repr for unordered gbq table (#1778) (2bc4fbc)
• Use JOB_CREATION_OPTIONAL when allow_large_results=False (#1763) (15f3f2a)

Dependencies

• Avoid gcsfs==2025.5.0 (#1762) (68d5e2c)

Documentation

• Add llm output_schema notebook (#1732) (b2261cc)
• Add MatrixFactorization to the table of contents (#1725) (611e43b)
• Fix typo for "population" in the GeminiTextGenerator.predict(..., output_schema={...}) sample notebook (#1748) (bd07e05)
• Integrations notebook extracts token from bqclient._http.credentials instead of bqclient._credentials (#1784) (6e63eca)
• Updated multimodal notebook instructions (#1745) (1df8ca6)
• Use partial ordering mode in the quickstart sample (#1734) (476b7dd)

v2.4.0

2.4.0 (2025-05-12)

Features

• Add "dayofyear" property for dt accessors (#1692) (9d4a59d)
• Add .dt.days, .dt.seconds, dt.microseconds, and dt.total_seconds() for timedelta series. (#1713) (2b3a45f)
• Add DatetimeIndex class (#1719) (c3c830c)
• Add isocalendar() for dt accessor" (#1717) (0479763)
• Add bigframes.bigquery.json_value (#1697) (46a9c53)
• Add blob.exif function support (#1703) (3f79528)
• Add inplace arg support to sort methods (#1710) (d1ccb52)
• Improve error message in Series.apply for direct udfs (#1673) (1a658b2)
• Publish bigframes blob(Multimodal) to preview (#1693) (e4c85ba)
• Support () operator between timedeltas (#1702) (edaac89)
• Support forecast_limit_lower_bound and forecast_limit_upper_bound in ARIMA_PLUS (and ARIMA_PLUS_XREG) models (#1305) (b16740e)
• Support to_strip parameter for str.strip, str.lstrip and str.rstrip (#1705) (a84ee75)

Bug Fixes

• Fix dayofyear doc test (#1701) (9b777a0)
• Fix issues with chunked arrow data (#1700) (e3289b7)
• Rename columns with protected names such as _TABLE_SUFFIX in to_gbq() (#1691) (8ec6079)

Performance Improvements

• Defer query in read_gbq with wildcard tables (#1661) (5c125c9)
• Rechunk result pages client side (#1680) (67d8760)

Dependencies

• Move bigtable and pubsub to extras (#1696) (597d817)

Documentation

• Add snippets for Matrix Factorization tutorials (#1630) (24b37ae)
• Deprecate bpd.options.bigquery.allow_large_results in favor of bpd.options.compute.allow_large_results (#1597) (18780b4)
• Include import statement in the bigframes code snippet (#1699) (08d70b6)
• Include the clean-up step in the udf code snippet (#1698) (48992e2)
• Move multimodal notebook out of experimental folder (#1712) (68b6532)
• Update blob_display option in snippets (#1714) (8b30143)

v2.3.0

2.3.0 (2025-05-06)

Features

• Add dry_run parameter to read_gbq(), read_gbq_table() and read_gbq_query() (#1674) (4c5dee5)

Bug Fixes

• Guarantee guid thread safety across threads (#1684) (cb0267d)
• Support large lists of lists in bpd.Series() constructor (#1662) (0f4024c)
• Use value equality to check types for unix epoch functions and timestamp diff (#1690) (81e8fb8)

Performance Improvements

• to_datetime() now avoids caching inputs unless data is inspected to infer format (#1667) (dd08857)

Documentation

• Add a visualization notebook to BigFrame samples (#1675) (ee062bf)
• Fix spacing of k-means code snippet (#1687) (99f45dd)
• Update snippet for Create a k-means model tutorial (#1664) (761c364)

v2.2.0

2.2.0 (2025-04-30)

Features

• Add gemini-2.0-flash-001 and gemini-2.0-flash-lite-001 to fine tune score endponts and multimodal endpoints (#1650) (4fb54df)
• Add GeminiTextGenerator.predict structured output (#1653) (6199023)
• DataFrames.getitem support for slice input (#1668) (563f0cb)
• Print right origin of PreviewWarning for the bpd.udf (#1629) (48d10d1)
• Session.bytes_processed_sum will be updated when allow_large_re… (#1669) (ae312db)
• Short circuit query for local scan (#1618) (e84f232)
• Support names parameter in read_csv for bigquery engine (#1659) (3388191)
• Support passing list of values to bigframes.core.sql.simple_literal (#1641) (102d363)
• Support write api as loading option (#1617) (c46ad06)

Bug Fixes

• DataFrame accessors is not pupulated (#1639) (28afa2c)
• Prefer remote schema instead of throwing on materialize conflicts (#1644) (53fc25b)
• Remove itertools.pairwise usage (#1638) (9662745)
• Resolve issue where pre-release versions of google-auth are installed (#1491) (ebb7a5e)
• Resolve some of the typo errors (#1655) (cd7fbde)

Performance Improvements

• Fold row count ops when known (#1656) (c958dbe)
• Use flyweight for node fields (#1654) (8482bfc)

Dependencies

• Support shapely 1.8.5+ again (#1651) (ae83e61)

Documentation

• Add JSON data types notebook (#1647) (9128c4a)
• Add sample code snippets for udf (#1649) (53caa8d)
• Fix bq_dataframes_template notebook to work if partial ordering mode is enabled (#1665) (f442e7a)
• Note that udf is in preview and must be python 3.11 compatible (#1629) (48d10d1)

v2.1.0

2.1.0 (2025-04-22)

Features

• Add bigframes.bigquery.st_distance function (#1637) (bf1ae70)
• Enable local json string validations (#1614) (233347a)
• Enhance read_csv index_col parameter support (#1631) (f4e5b26)

Bug Fixes

• Add retry for test_clean_up_via_context_manager (#1627) (58e7cb0)
• Improve robustness of managed udf code extraction (#1634) (8cc56d5)

Documentation

• Add code samples in the udf API docstring (#1632) (f68b80c)

v2.0.0

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...