pm4py.visualization.sna.variants package

Submodules

pm4py.visualization.sna.variants.networkx module

class pm4py.visualization.sna.variants.networkx.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

FORMAT = 'format'
WEIGHT_THRESHOLD = 'weight_threshold'
pm4py.visualization.sna.variants.networkx.apply(metric_values, parameters=None)[source]

Perform SNA visualization starting from the Matrix Container object and the Resource-Resource matrix

Parameters
  • metric_values – Value of the metrics

  • parameters

    Possible parameters of the algorithm, including:
    • Parameters.WEIGHT_THRESHOLD -> the weight threshold to use in displaying the graph

    • Parameters.FORMAT -> format of the output image (png, svg …)

Returns

Name of a temporary file where the visualization is placed

Return type

temp_file_name

pm4py.visualization.sna.variants.networkx.get_temp_file_name(format)[source]

Gets a temporary file name for the image

Parameters

format – Format of the target image

pm4py.visualization.sna.variants.networkx.save(temp_file_name, dest_file, parameters=None)[source]

Save the SNA visualization from a temporary file to a well-defined destination file

Parameters
  • temp_file_name – Temporary file name

  • dest_file – Destination file

  • parameters – Possible parameters of the algorithm

pm4py.visualization.sna.variants.networkx.view(temp_file_name, parameters=None)[source]

View the SNA visualization on the screen

Parameters
  • temp_file_name – Temporary file name

  • parameters – Possible parameters of the algorithm

pm4py.visualization.sna.variants.pyvis module

class pm4py.visualization.sna.variants.pyvis.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

WEIGHT_THRESHOLD = 'weight_threshold'
pm4py.visualization.sna.variants.pyvis.apply(metric_values, parameters=None)[source]

Perform SNA visualization starting from the Matrix Container object and the Resource-Resource matrix

Parameters
  • metric_values – Value of the metrics

  • parameters

    Possible parameters of the algorithm, including:
    • Parameters.WEIGHT_THRESHOLD -> the weight threshold to use in displaying the graph

Returns

Name of a temporary file where the visualization is placed

Return type

temp_file_name

pm4py.visualization.sna.variants.pyvis.get_temp_file_name(format)[source]

Gets a temporary file name for the image

Parameters

format – Format of the target image

pm4py.visualization.sna.variants.pyvis.save(temp_file_name, dest_file, parameters=None)[source]

Save the SNA visualization from a temporary file to a well-defined destination file

Parameters
  • temp_file_name – Temporary file name

  • dest_file – Destination file

  • parameters – Possible parameters of the algorithm

pm4py.visualization.sna.variants.pyvis.view(temp_file_name, parameters=None)[source]

View the SNA visualization on the screen

Parameters
  • temp_file_name – Temporary file name

  • parameters – Possible parameters of the algorithm

Module contents