face2face.visualization.plot_histogram_null_model.plot_null_model_subplots

face2face.visualization.plot_histogram_null_model.plot_null_model_subplots(Data, runs, label='type', shuffle_label=False, force_simple_graph=False, model='configuration_model')

Creates a figure for all attribute-value combinations

Creates and plots a figure with subplots for every attribute-value combination. Every subplot shows the frequency of the amount of edges for the given attribute-value combination and the average z-score.

Parameters

• Data (Data) – Data Object that contains Tij- and Metadata for a data set.

• runs (int) – The amount of times the function should be executed. It’s a heuristic approach, so the more the runs the better might be the result

• label (str) – A string that tells the function for which attribute the contact matrix should be made.

• shuffle_label (bool) – Gives the option to extend the null model by randomizing the node attributes.

• force_simple_graph (bool) – Deletes parallel- and selfedges that can occur by using the networkx “configuration_model”-function if True.

• model (str) – Defines which null model should be used. Possible Values: “configuration_model”, “random_identities”

Returns

Return type

None

See also

face2face.statistics.null_modell.configuration_model_label_z_score_mixing_matrix(), face2face.statistics.null_modell.shuffle_label_z_score_mixing_matrix(), face2face.visualization.plot_contact_matrix_heatmap.plot_cm_heatmap()