API Reference

Kepler Mapper

The KeplerMapper class provides three main functions: fit_transform, map, and visualize. These provide the bulk of the functionality for constructing a Mapper graph. Cover schemes provide a customizable way of defining a cover for your lens. Nerves determine the method that constructs the nodes and edges (or higher order connections).

KeplerMapper

With this class you can build topological networks from (high-dimensional) data.

Cover

Helper class that defines the default covering scheme

GraphNerve

Creates the 1-skeleton of the Mapper complex.

Visuals

There are many ways to visualize your constructed Mapper. The original and most popular method is to use the KeplerMapper.visualize function to construct an .html file. You can then open this file in your browser and explore the result. If you use Jupyter Notebooks, you can visualize the .html file directly in a notebook using the kmapper.jupyter.display function. We also provide extensive functionality for constructing Plotly graphs and dashboards using the kmapper.plotlyviz module. To learn more about the Plotlyviz functionality, see the Jupyter demo or Plotly demo.

jupyter

plotlyviz.plotlyviz

Visualizations and dashboards for kmapper graphs using Plotly.

plotlyviz.mpl_to_plotly

draw_matplotlib

Draw the graph using NetworkX drawing functionality.

visuals.colorscale_from_matplotlib_cmap

Create a colorscale from a matplotlib colormap.

Adapters

We provide a basic adapter to convert a KeplerMapper graph to networkx.Graph format.

Note

If you would like adapters to other popular formats, please let us know.

kmapper.adapter

Adapt Mapper format into other common formats.