Metadata-Version: 2.4
Name: plotly-ml
Version: 0.1.19
Summary: Interactive ML Visualizations with Plotly
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: anywidget>=0.9.21
Requires-Dist: ipykernel>=6.30.1
Requires-Dist: ipywidgets>=8.1.7
Requires-Dist: nbformat>=5.10.4
Requires-Dist: pandas>=2.3.2
Requires-Dist: plotly>=6.3.0
Requires-Dist: polars>=1.33.1
Requires-Dist: statsmodels>=0.14.6
Provides-Extra: docs
Requires-Dist: mkdocs>=1.6.1; extra == "docs"
Requires-Dist: mkdocs-material>=9.6.20; extra == "docs"
Requires-Dist: mkdocstrings[python]>=0.30.1; extra == "docs"
Requires-Dist: mkdocs-autorefs>=1.4.3; extra == "docs"

This project creates plots for machine learning similar to yellowbricks https://www.scikit-yb.org/en/latest/.

It uses plotly to generate interactive visualizations and employs a dataframe interface using polars. Just pass you dataframe and specify the columns:
we use the following libraries: plotly, polars

![Example](image.png)

## Notebook widgets (AnyWidget)

Some plots (e.g. the crossfiltering pairplot) are implemented as an **AnyWidget** and require frontend `ipywidgets` support.

If you only see plain text like `PairplotWidget(...)` instead of an interactive plot:

- In VS Code, make sure the workspace is **trusted** and the extensions `ms-toolsai.jupyter` + `ms-toolsai.jupyter-renderers` are enabled.
- Check `Jupyter: Widget Script Sources` (overly strict settings can prevent widget JS from loading).
