Changelog
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
withindex_col
set to cluster byindex_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 forconsole.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.