Version 0.2.0

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.

Version 0.1.1

Documentation

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

Version 0.1.0

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.