Additional features

The main purpose of this package is to provide an extensive set of graph drawing metrics. In addition, we provide some additional functionality that might be useful for someone using the package.

Importing datasets

Feature	Description	Implementation
Load datasets	Load a dataset from the Graph Layout Benchmark Datasets project from the Northeastern University Visualization Lab and parse it for easy usage.	datasets.iterate_dataset()

Embeddings

Feature	Description	Implementation
Planarization	A list of all crossings with new nodes incident to all involved edges.	crossings.planarize()
Normalize position	Rescale the graph to fit within a specified bounding box.	boundary.normalize_positions()
Combinatorial embedding	Obtains the combinatorial embedding from a given embedded graph, i.e. the clockwise neighborhood for each node.	edge_directions.combinatorial_embedding()
Ordered neighborhood	Obtains the clockwise neighborhood of a node.	edge_directions.ordered_neighborhood()

Statistical evaluation

Feature	Description	Implementation
Heatmap	Generates a 2D grid of the average value for a given parameter in each grid cell. Useful for creating heatmaps for local metrics or graph features.	distribution.heatmap()