v1.33.0

1.33.0 (2025-01-22)

Features

• Add bigframes.bigquery.sql_scalar() to apply SQL syntax on Series objects (#1293) (aa2f73a)
• Add unix_seconds, unix_millis and unix_micros for timestamp series. (#1297) (e4b0c8d)
• DataFrame.join supports Series other (#1303) (ee37a0a)
• Support array output in remote_function (#1057) (bdee173)

Bug Fixes

• Dataframe sort_values Series input keyerror. (#1285) (5a2731b)
• Fix read_gbq_function issue in dataframe apply method (#1174) (0318764)
• Series sort_index and sort_values now raises when axis!=0 (#1294) (94bc2f2)

Documentation

• Add snippet to forecast future time series in the Forecast a single time series with a univariate model tutorial (#1271) (a687050)
• Update bigframes.pandas.Series docs (#1273) (0cac64f)

v1.32.0

1.32.0 (2025-01-13)

Features

• Add max_retries to TextEmbeddingGenerator and Claude3TextGenerator (#1259) (8077ff4)
• Bigframes.bigquery.parse_json (#1265) (27bbd80)
• Support DataFrame.astype(dict) (#1262) (5934f8e)

Bug Fixes

• Avoid global mutation in BigQueryOptions.client_endpoints_override (#1280) (788f6e9)
• Fix erroneous window bounds removal during compilation (#1163) (f91756a)

Dependencies

• Relax sqlglot upper bound (#1278) (c71ec09)

Documentation

• Add bq studio links that allows users to generate Jupiter notebooks in bq studio with github contents (#1266) (58f13cb)
• Add snippet to evaluate ARIMA plus model in the Forecast a single time series with a univariate model tutorial (#1267) (3dcae2d)
• Add snippet to see the ARIMA coefficients in the Forecast a single time series with a univariate model tutorial (#1268) (059a564)
• Update bigframes.pandas.pandas docstrings (#1247) (c4bffc3)
• Use 002 model for better scalability in text generation (#1270) (bb7a850)

v1.31.0

1.31.0 (2025-01-05)

Features

• Implement confirmation threshold for semantic operators (#1251) (5ba4511)

Bug Fixes

• Raise if trying to change ordering_mode after session has started (#1252) (8cfaae8)
• Reduce the number of labels added to query jobs (#1245) (fdcdc18)

Documentation

• Remove bq studio link (#1258) (dd4fd2e)
• Update bigframes.pandas.DatetimeMethods docstrings (#1246) (10f08da)
• Update semantic_operators.ipynb (#1260) (a2ed989)

v1.30.0

1.30.0 (2024-12-30)

Features

• Add GeoSeries.x and GeoSeries.y (#1126) (4c3548f)
• Add LinearRegression.predict_explain() to generate ML.EXPLAIN_PREDICT columns (#1190) (e13eca2)
• Add LogisticRegression.predict_explain() to generate ML.EXPLAIN_PREDICT columns (#1222) (bcbc732)
• Add write_engine parameter to read_FORMATNAME methods to control how data is written to BigQuery (#371) (ed47ef1)
• Add client side retry to GeminiTextGenerator (#1242) (8193abe)
• Add Gemini-pro-1.5 to GeminiTextGenerator Tuning and Support score() method in Gemini-pro-1.5 (#1208) (298fc73)
• Add support for LinearRegression.predict_explain and LogisticRegression.predict_explain parameter, top_k_features (#1228) (3068e19)
• Support dataframe where method (#1166) (71b4053)

Bug Fixes

• Arima model series input. (#1237) (f7d52d9)
• Json in struct destination type (#1187) (200c9bb)
• Throw an error message when setting is_row_processor=True to read a multi param function (#1160) (b2816a5)

Documentation

• Add an "open in BQ Studio" link to all BigFrames sample notebooks (#1223) (e0a8288)
• Add bq studio link for a new ipynb file called "bq_dataframes_template.ipynb" (#1239) (840aaff)
• Add example for logistic regression (#1240) (4d854fd)
• Add examples for ml PCA and SimpleImputer (#1236) (0d84459)
• Add KMeans example (#1234) (d87ab97)
• Add linear model example (#1235) (2c3e1fd)
• Add ml.model_selection examples (#1238) (50648e4)
• Add python snippet for "Create the time series model" section of the Forecast a single time series with a univariate model tutorial (#1227) (20f3190)

v1.29.0

1.29.0 (2024-12-12)

Features

• Add Gemini 2.0 preview text model support (#1209) (1021d57)

Documentation

• Add Gemini 2.0 text gen sample notebook (#1211) (9596b66)
• Update bigframes.pandas.index docs return types (#1191) (c63e7da)

v1.28.0

1.28.0 (2024-12-11)

Features

• (Series | DataFrame).plot.bar (#1152) (0fae2e0)
• bigframes.bigquery.vector_search supports use_brute_force and fraction_lists_to_search parameters (#1158) (131edc3)
• Add ARIMAPlus.predict_explain() to generate forecasts with explanation columns (#1177) (05f8b4d)
• Add client_endpoints_override to bq options (#1167) (be74b99)
• Add support for temporal types in dataframe's describe() method (#1189) (2d564a6)
• Allow join-free alignment of analytic expressions (#1168) (daef4f0)
• Series.isin supports bigframes.Series arg (#1195) (0d8a16b)
• Update llm.TextEmbeddingGenerator to 005 (#1186) (3072d38)

Bug Fixes

• Fix error loading local dataframes into bigquery (#1165) (5b355ef)
• Fix null index join with 'on' arg (#1153) (9015c33)
• Fix series.isin using local path always (#1202) (a44eafd)

Performance Improvements

• Update df.corr, df.cov to be used with more than 30 columns case. (#1161) (9dcf1aa)

Documentation

• Add a code sample using bpd.options.bigquery.ordering_mode = "partial" (#909) (f80d705)
• Add snippet for creating boosted tree model (#1142) (a972668)
• Add snippet for evaluating a boosted tree model (#1154) (9d8970a)
• Add snippet for predicting classifications using a boosted tree model (#1156) (e7b83f1)
• Add third party pandas.Index methods and docstrings (#1171) (a970294)
• Fix Bigframes.Pandas.General_Function missing docs (#1164) (de923d0)
• Update bigframes.pandas.Index docstrings (#1144) (557ab8d)

v1.27.0

1.27.0 (2024-11-16)

Features

• Add astype(type, errors='null') to cast safely (#1122) (b4d17ff)

Bug Fixes

• Dataframe fillna with scalar. (#1132) (37f8c32)
• Exclude index columns from model fitting processes. (#1138) (8d4da15)
• Unordered mode too many labels issue. (#1148) (7216b21)

Documentation

• Document groupby.head and groupby.size methods (#1111) (a61eb4d)

v1.26.0

1.26.0 (2024-11-12)

Features

• Add basic geopandas functionality (#962) (3759c63)
• Support json_extract_string_array in the bigquery module (#1131) (4ef8bac)

Bug Fixes

• Fix Series.to_frame generating string label instead of int where name is None (#1118) (14e32b5)
• Update the API documentation with newly added rep (#1120) (72c228b)

Performance Improvements

• Reduce CURRENT_TIMESTAMP queries (#1114) (32274b1)
• Reduce dry runs from read_gbq with table (#1129) (f7e4354)

Documentation

• Add file for Classification with a Boosted Treed Model and snippet for preparing sample data (#1135) (7ac6639)
• Add snippet for Linear Regression tutorial Predict Outcomes section (#1101) (108f4a9)
• Update DataFrame docstrings to include the errors section (#1127) (a38d4c4)
• Update GroupBy docstrings (#1103) (9867a78)
• Update Session doctrings to include exceptions (#1130) (a870421)

v1.25.0

1.25.0 (2024-10-29)

Features

• Add the ground_with_google_search option for GeminiTextGenerator predict (#1119) (ca02cd4)
• Add warning when user tries to access struct series fields with __getitem__ (#1082) (20e5c58)
• Allow fit to take additional eval data in linear and ensemble models (#1096) (254875c)
• Support context manager for bigframes session (#1107) (5f7b8b1)

Performance Improvements

• Improve series.unique performance and replace drop_duplicates i… (#1108) (499f24a)

v1.24.0

1.24.0 (2024-10-24)

Features

• Support series items method (#1089) (245a89c)

Documentation

• Update docstrings of DataFrame and related files (#1092) (15e9fd5)