Changelog

PyPI History

0.4.0 (2023-09-16)

Features

• Add axis parameter to droplevel and reorder_levels ( 7c6b0dd )

• Add bfill and ffill to DataFrame and Series ( 7c6b0dd )

• Add DataFrame.combine and DataFrame.combine_first ( #27 ) ( 7c6b0dd )

• Add DataFrame.nlargest , nsmallest ( 7c6b0dd )

• Add DataFrame.pct_change and Series.pct_change ( 7c6b0dd )

• Add DataFrame.skew and GroupBy.skew ( 7c6b0dd )

• Add DataFrame.to_dict , to_excel , to_latex , to_records , to_string , to_markdown , to_pickle , to_orc ( 7c6b0dd )

• Add diff method to DataFrame and GroupBy ( 7c6b0dd )

• Add filter and reindex to Series and DataFrame ( 7c6b0dd )

• Add reindex_like to DataFrame and Series ( 7c6b0dd )

• Add swaplevel to DataFrame and Series ( 7c6b0dd )

• Add partial support for Sereies.replace ( 7c6b0dd )

• Support DataFrame.loc[bool_series, column] = scalar ( 7c6b0dd )

• Support a persistent name in remote_function ( 7c6b0dd )

Bug Fixes

• remote_function uses same credentials as other APIs ( 7c6b0dd )

• Add type hints to models ( 7c6b0dd )

• Raise error when ARIMAPlus is used with Pipeline ( 7c6b0dd )

• Remove transforms parameter in model.fit ( breaking change) ( 7c6b0dd )

• Support column joins with “None indexer” ( 7c6b0dd )

• Use for literals Int64Dtype in cut ( 7c6b0dd )

• Use lowercase strings for parameter literals in bigframes.ml ( breaking change) ( 7c6b0dd )

Performance Improvements

• bigframes-api label to I/O query jobs ( 7c6b0dd )

Documentation

• Document possible parameter values for PaLM2TextGenerator ( 7c6b0dd )

• Document region logic in README ( 7c6b0dd )

• Fix OneHotEncoder sample ( 7c6b0dd )

0.3.2 (2023-09-06)

Bug Fixes

• Make release.sh script for PyPI upload executable ( #20 ) ( 9951610 )

0.3.1 (2023-09-05)

Bug Fixes

• release:Use correct directory name for release build config ( #17 ) ( 3dd25b3 )

0.3.0 (2023-09-02)

Features

• Add bigframes.get_global_session() and bigframes.reset_session() aliases ( a32b747 )

• Add bigframes.pandas.read_pickle function ( a32b747 )

• Add components_ , explained_variance_ , and explained_variance_ratio_ properties to bigframes.ml.decomposition.PCA ( 89b9503 )

• Add fit_transform to bigquery.ml transformers ( a32b747 )

• Add Series.dropna and DataFrame.fillna ( 8fab755 )

• Add Series.str methods isalpha , isdigit , isdecimal , isalnum , isspace , islower , isupper , zfill , center ( a32b747 )

• Support bigframes.pandas.merge() ( 8fab755 )

• Support DataFrame.isin with list and dict inputs ( 8fab755 )

• Support DataFrame.pivot ( a32b747 )

• Support DataFrame.stack ( 89b9503 )

• Support DataFrame - DataFrame binary operations ( 8fab755 )

• Support df[my_column] = [a python list] ( 89b9503 )

• Support Index.is_monotonic ( 8fab755 )

• Support np.arcsin , np.arccos , np.arctan , np.sinh , np.cosh , np.tanh , np.arcsinh , np.arccosh , np.arctanh , np.exp with Series argument ( 89b9503 )

• Support np.sin , np.cos , np.tan , np.log , np.log10 , np.sqrt , np.abs with Series argument ( 89b9503 )

• Support pow() and power operator in DataFrame and Series ( 8fab755 )

• Support read_json with engine=bigquery for newline-delimited JSON files ( 89b9503 )

• Support Series.corr ( 89b9503 )

• Support Series.map ( 8fab755 )

• Support for np.add , np.subtract , np.multiply , np.divide , np.power ( 8fab755 )

• Support MultiIndex for DataFrame columns ( a32b747 )

• Use pandas.Index for column labels ( a32b747 )

• Use default session and connection in ml.llm and ml.imported ( 8fab755 )

Bug Fixes

• Add error message to set_index ( a32b747 )

• Align column names with pandas in DataFrame.agg results ( 89b9503 )

• Allow (but still not recommended) ORDER BY in read_gbq input when an index_col is defined ( 89b9503 )

• Check for IAM role on the BigQuery connection when initializing a remote_function ( 89b9503 )

• Check that types are specified in read_gbq_function ( a32b747 )

• Don’t use query cache for Session construction ( a32b747 )

• Include survey link in abstract NotImplementedError exception messages ( 89b9503 )

• Label temp table creation jobs with source=bigquery-dataframes-temp label ( 89b9503 )

• Make X_train argument names consistent across methods ( 8fab755 )

• Raise AttributeError for unimplemented pandas methods ( 89b9503 )

• Raise exception for invalid function in read_gbq_function ( a32b747 )

• Support spaces in column names in DataFrame initializater ( 89b9503 )

Performance Improvements

• Add local cache for __repr_\*__ methods ( a32b747 )

• Lazily instantiate client library objects ( 89b9503 )

• Use row_number() filter for head / tail ( 8fab755 )

Documentation

• Add ML section under Overview ( a32b747 )

• Add release status to table of contents ( a32b747 )

• Add samples and best practices to read_gbq docs ( a32b747 )

• Correct the return types of Dataframe and Series ( a32b747 )

• Create subfolders for notebooks ( a32b747 )

• Fix link to GitHub ( 89b9503 )

• Highlight bigframes is open-source ( a32b747 )

• Sample ML Drug Name Generation notebook ( a32b747 )

• Set options.bigquery.project in sample code ( 89b9503 )

• Transform remote function user guide into sample code ( a32b747 )

• Update remote function notebook with read_gbq_function usage ( 8fab755 )

0.2.0 (2023-08-17)

Features

• Add KMeans.cluster_centers_.

• Allow column labels to be any type handled by bq df, column labels can be integers now.

• Add dataframegroupby.agg().

• Add Series Property is_monotonic_increasing and is_monotonic_decreasing.

• Add match, fullmatch, get, pad str methods.

• Add series isin function.

Bug Fixes

• Update ML package to use sessions for queries.

• Optimize read_gbq with index_col set to cluster by index_col .

• Raise ValueError if the location mismatched.

• read_gbq no longer uses ‘time travel’ with query inputs.

Documentation

• Add docstring to _uniform_sampling to avoid user using it.

0.1.1 (2023-08-14)

Documentation

• Correct link to code repository in setup.py and use correct terminology for console.cloud.google.com links.

0.1.0 (2023-08-11)

Features

• Add bigframes.pandas package with an API compatible with pandas . Supported data sources include: BigQuery SQL queries, BigQuery tables, CSV (local and GCS), Parquet (local and Cloud Storage), and more.

• Add bigframes.ml package with an API inspired by scikit-learn . Train machine learning models and run batch predicition, powered by BigQuery ML .

0.0.0 (2023-02-22)

• Empty package to reserve package name.