cdlib.viz.plot_flow

cdlib.viz.plot_flow(lc: LifeCycle, node_focus: str | None = None, slice: tuple | None = None) → plotly.graph_objects.Figure

Plot the flow of a lifecycle

Parameters:

• lc – the lifecycle object

• node_focus – plot only the flows involving this group. Defaults to None.

• slice – plot only a slice of the lifecycle. Defaults to all.

Returns:

a plotly figure

Example:

>>> from cdlib import TemporalClustering, LifeCycle
>>> from cdlib import algorithms
>>> from cdlib.viz import plot_flow
>>> from networkx.generators.community import LFR_benchmark_graph
>>> tc = TemporalClustering()
>>> for t in range(0, 10):
>>>     g = LFR_benchmark_graph(
>>>         n=250,
>>>         tau1=3,
>>>         tau2=1.5,
>>>         mu=0.1,
>>>         average_degree=5,
>>>         min_community=20,
>>>         seed=10,
>>>     )
>>>     coms = algorithms.louvain(g)  # here any CDlib algorithm can be applied
>>>     tc.add_clustering(coms, t)
>>> events = LifeCycle(tc)
>>> events.compute_events("facets")
>>> fig = plot_flow(events)
>>> fig.show()