2.13.0 (2025-07-25)

Features

• _read_gbq_colab creates hybrid session (#1901) (31b17b0)
• Add CSS styling for TableWidget pagination interface (#1934) (5b232d7)
• Add row numbering local pushdown in hybrid execution (#1932) (92a2377)
• Implement Index.get_loc (#1921) (bbbcaf3)

Bug Fixes

• Add license header and correct issues in dbt sample (#1931) (ab01b0a)

Dependencies

• Replace google-cloud-iam with grpc-google-iam-v1 (#1864) (e5ff8f7)

2.12.0 (2025-07-23)

Features

• Add code samples for dbt bigframes integration (#1898) (7e03252)
• Add isin local execution to hybrid engine (#1915) (c0cefd3)
• Add ml.metrics.mean_absolute_error method (#1910) (15b8449)
• Allow local arithmetic execution in hybrid engine (#1906) (ebdcd02)
• Provide day_of_year and day_of_week for dt accessor (#1911) (40e7638)
• Support params max_batching_rows, container_cpu, and container_memory for udf (#1897) (8baa912)
• Support typed pyarrow.Scalar in assignment (#1930) (cd28e12)

Bug Fixes

• Correct min field from max() to min() in remote function tests (#1917) (d5c54fc)
• Resolve location reset issue in bigquery options (#1914) (c15cb8a)
• Series.str.isdigit in unicode superscripts and fractions (#1924) (8d46c36)

Documentation

• Add code snippets for session and IO public docs (#1919) (6e01cbe)
• Add snippets for performance optimization doc (#1923) (4da309e)

2.11.0 (2025-07-15)

Features

• Add __contains__ to Index, Series, DataFrame (#1899) (07222bf)
• Add thresh param for Dataframe.dropna (#1885) (1395a50)
• Add concat pushdown for hybrid engine (#1891) (813624d)
• Add pagination buttons (prev/next) to anywidget mode for DataFrames (#1841) (8eca767)
• Add total_rows property to pandas batches iterator (#1888) (e3f5e65)
• Hybrid engine local join support (#1900) (1aa7950)
• Support date data type for to_datetime() (#1902) (24050cb)
• Support bpd.Series(json_data, dtype="json") (#1882) (05cb7d0)

Bug Fixes

• Bpd.merge on common columns (#1905) (a1fa112)
• DataFrame string addition respects order (#1894) (52c8233)
• Show slot_millis_sum warning only when allow_large_results=False (#1892) (25efabc)
• Used query row count metadata instead of table metadata (#1893) (e1ebc53)

2.10.0 (2025-07-08)

Features

• df.to_pandas_batches() returns one empty DataFrame if df is empty (#1878) (e43d15d)
• Add filter pushdown to hybrid engine (#1871) (6454aff)
• Add simple stats support to hybrid local pushdown (#1873) (8715105)

Bug Fixes

• Fix issues where duration type returned as int (#1875) (f30f750)

Documentation

• Update gsutil commands to gcloud commands (#1876) (c289f70)

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)

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)

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)

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)

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)

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)