cdlib.viz.plot_com_properties_relation

plot_com_properties_relation(com_clusters: object, com_fitness_x: Callable[[object, object, bool], object], com_fitness_y: Callable[[object, object, bool], object], **kwargs) → object

Plot the relation between two properties/fitness function of a clustering

Parameters:

• com_clusters – clustering(s) to analyze (cluster or cluster list)
• com_fitness_x – first fitness/community property
• com_fitness_y – first fitness/community property
• kwargs – parameters for the seaborn lmplot

Returns:

a seaborn lmplot

Example:

>>> from cdlib import algorithms, viz, evaluation
>>> import networkx as nx
>>> g = nx.karate_club_graph()
>>> coms = algorithms.louvain(g)
>>> coms2 = algorithms.walktrap(g)
>>> lmplot = viz.plot_com_properties_relation([coms,coms2],evaluation.size,evaluation.internal_edge_density)