def view_sna(sna_metric):
"""
Represents a SNA metric (.html)
Parameters
---------------
sna_metric
Values of the metric
"""
from pm4py.visualization.sna import visualizer as sna_visualizer
gviz = sna_visualizer.apply(sna_metric, variant=sna_visualizer.Variants.PYVIS)
sna_visualizer.view(gviz)
def execute_script():
log = xes_importer.apply(
os.path.join("..", "tests", "input_data", "running-example.xes"))
hw_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.HANDOVER_LOG)
wt_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.WORKING_TOGETHER_LOG)
sub_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.SUBCONTRACTING_LOG)
ja_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.JOINTACTIVITIES_LOG)
gviz_sub = pn_vis.apply(
sub_values,
variant=pn_vis.Variants.NETWORKX,
parameters={pn_vis.Variants.NETWORKX.value.Parameters.FORMAT: "svg"})
gviz_hw = pn_vis.apply(hw_values, variant=pn_vis.Variants.PYVIS)
gviz_wt = pn_vis.apply(
wt_values,
variant=pn_vis.Variants.NETWORKX,
parameters={pn_vis.Variants.NETWORKX.value.Parameters.FORMAT: "svg"})
gviz_ja = pn_vis.apply(ja_values, variant=pn_vis.Variants.PYVIS)
pn_vis.view(gviz_sub, variant=pn_vis.Variants.NETWORKX)
pn_vis.view(gviz_hw, variant=pn_vis.Variants.PYVIS)
pn_vis.view(gviz_wt, variant=pn_vis.Variants.NETWORKX)
pn_vis.view(gviz_ja, variant=pn_vis.Variants.PYVIS)
parameters={variants_filter.Parameters.POSITIVE: False})
# part of the analysis was to eliminate unwanted actions, the code below does just that.
# it is not needed to run the network however if you want to filter these activities out: uncomment it and then change
# the name in network algo sections from filtered_log1 to filtered_log2
# event_log1 = pm4py.convert_to_event_stream(filtered_log1)
# filtered_log2 = pm4py.filtering.filter_event_attribute_values(filtered_log1, 'concept:name',
# {"O_SELECTED", "O_CREATED", "O_ACCEPTED",
# "A_REGISTERED", "A_ACTIVATED",
# "O_CANCELLED", "O_DECLINED", 'A_PARTLYSUBMITTED'},
# level='event', retain=False)
# Network algorithm sections
# Handover of Work
hw_values = sna.apply(filtered_log1, variant=sna.Variants.HANDOVER_LOG)
gviz_hw_py = sna_visualizer.apply(hw_values,
variant=sna_visualizer.Variants.PYVIS)
sna_visualizer.view(gviz_hw_py, variant=sna_visualizer.Variants.PYVIS)
# Subcontracting
# sub_values = sna.apply(filtered_log2, variant=sna.Variants.SUBCONTRACTING_LOG)
# gviz_sub_py = sna_visualizer.apply(sub_values, variant=sna_visualizer.Variants.PYVIS)
# sna_visualizer.view(gviz_sub_py, variant=sna_visualizer.Variants.PYVIS)
# Working Together
# wt_values = sna.apply(filtered_log2, variant=sna.Variants.WORKING_TOGETHER_LOG)
# gviz_wt_py = sna_visualizer.apply(wt_values, variant=sna_visualizer.Variants.PYVIS)
# sna_visualizer.view(gviz_wt_py, variant=sna_visualizer.Variants.PYVIS)