pm4py.visualization.sna.variants.pyvis module#

class pm4py.visualization.sna.variants.pyvis.Parameters(*values)[source]#

Bases: Enum

WEIGHT_THRESHOLD = 'weight_threshold'#
IFRAME_WIDTH = 'iframe_width'#
IFRAME_HEIGHT = 'iframe_height'#
LOCAL_JUPYTER_FILE_NAME = 'local_jupyter_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.apply(sna: SNA, parameters=None)[source]#

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

Parameters:

  • sna – 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.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.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