Source code for pm4py.visualization.dfg.visualizer
from pm4py.visualization.common import gview
from pm4py.visualization.common import save as gsave
from pm4py.visualization.dfg.variants import frequency, performance, cost
from enum import Enum
from pm4py.util import exec_utils
from copy import deepcopy
from pm4py.visualization.common.gview import serialize, serialize_dot
from typing import Optional, Dict, Any, Tuple
import graphviz
from pm4py.objects.log.obj import EventLog
[docs]
class Variants(Enum):
FREQUENCY = frequency
PERFORMANCE = performance
COST = cost
DEFAULT_VARIANT = Variants.FREQUENCY
[docs]
def apply(
dfg0: Dict[Tuple[str, str], float],
log: EventLog = None,
activities_count: Dict[str, int] = None,
serv_time: Dict[str, float] = None,
parameters: Optional[Dict[Any, Any]] = None,
variant=DEFAULT_VARIANT,
) -> graphviz.Digraph:
"""
Visualize a frequency/performance directly-follows graph
Parameters
-----------------
dfg0
Directly-follows graph
log
(if provided) Event log for the calculation of statistics
activities_count
(if provided) Dictionary associating to each activity the number of occurrences in the log.
serv_time
(if provided) Dictionary associating to each activity the average service time
parameters
Variant-specific parameters
variant
Variant:
- Frequency DFG representation
- Performance DFG representation
Returns
-----------------
gviz
Graphviz digraph
"""
dfg = deepcopy(dfg0)
return exec_utils.get_variant(variant).apply(
dfg,
log=log,
activities_count=activities_count,
serv_time=serv_time,
parameters=parameters,
)
[docs]
def save(gviz, output_file_path, parameters=None):
"""
Save the diagram
Parameters
-----------
gviz
GraphViz diagram
output_file_path
Path where the GraphViz output should be saved
"""
gsave.save(gviz, output_file_path, parameters=parameters)
return ""
[docs]
def view(gviz, parameters=None):
"""
View the diagram
Parameters
-----------
gviz
GraphViz diagram
"""
return gview.view(gviz, parameters=parameters)
[docs]
def matplotlib_view(gviz, parameters=None):
"""
Views the diagram using Matplotlib
Parameters
---------------
gviz
Graphviz
"""
return gview.matplotlib_view(gviz, parameters=parameters)