def test_performance_spectrum(self):
log = xes_importer.apply(os.path.join("input_data", "running-example.xes"))
from pm4py.algo.discovery.performance_spectrum import algorithm as pspectrum
ps = pspectrum.apply(log, ["register request", "decide"])
df = pd.read_csv(os.path.join("input_data", "running-example.csv"))
df = dataframe_utils.convert_timestamp_columns_in_df(df)
ps = pspectrum.apply(df, ["register request", "decide"])
def save_vis_performance_spectrum(log: Union[EventLog, pd.DataFrame],
activities: List[str], file_path: str):
"""
Saves the visualization of the performance spectrum to a file
Parameters
---------------
log
Event log
activities
List of activities (in order) that is used to build the performance spectrum
file_path
Destination path (including the extension)
"""
if type(log) not in [pd.DataFrame, EventLog, EventStream]:
raise Exception(
"the method can be applied only to a traditional event log!")
from pm4py.algo.discovery.performance_spectrum import algorithm as performance_spectrum
perf_spectrum = performance_spectrum.apply(log,
activities,
parameters=get_properties(log))
from pm4py.visualization.performance_spectrum import visualizer as perf_spectrum_visualizer
from pm4py.visualization.performance_spectrum.variants import neato
format = os.path.splitext(file_path)[1][1:]
gviz = perf_spectrum_visualizer.apply(
perf_spectrum, parameters={neato.Parameters.FORMAT.value: format})
perf_spectrum_visualizer.save(gviz, file_path)
def view_performance_spectrum(log: Union[EventLog, pd.DataFrame],
activities: List[str],
format: str = "png"):
"""
Displays the performance spectrum
Parameters
----------------
perf_spectrum
Performance spectrum
format
Format of the visualization (png, svg ...)
"""
if type(log) not in [pd.DataFrame, EventLog, EventStream]:
raise Exception(
"the method can be applied only to a traditional event log!")
from pm4py.algo.discovery.performance_spectrum import algorithm as performance_spectrum
perf_spectrum = performance_spectrum.apply(log,
activities,
parameters=get_properties(log))
from pm4py.visualization.performance_spectrum import visualizer as perf_spectrum_visualizer
from pm4py.visualization.performance_spectrum.variants import neato
gviz = perf_spectrum_visualizer.apply(
perf_spectrum, parameters={neato.Parameters.FORMAT.value: format})
perf_spectrum_visualizer.view(gviz)
def view_performance_spectrum(log: Union[EventLog, pd.DataFrame], activities: List[str], format: str = "png"):
"""
Displays the performance spectrum
Parameters
----------------
perf_spectrum
Performance spectrum
format
Format of the visualization (png, svg ...)
"""
from pm4py.algo.discovery.performance_spectrum import algorithm as performance_spectrum
perf_spectrum = performance_spectrum.apply(log, activities)
from pm4py.visualization.performance_spectrum import visualizer as perf_spectrum_visualizer
from pm4py.visualization.performance_spectrum.variants import neato
gviz = perf_spectrum_visualizer.apply(perf_spectrum, parameters={neato.Parameters.FORMAT.value: format})
perf_spectrum_visualizer.view(gviz)
def save_vis_performance_spectrum(log: Union[EventLog, pd.DataFrame], activities: List[str], file_path: str):
"""
Saves the visualization of the performance spectrum to a file
Parameters
---------------
log
Event log
activities
List of activities (in order) that is used to build the performance spectrum
file_path
Destination path (including the extension)
"""
from pm4py.algo.discovery.performance_spectrum import algorithm as performance_spectrum
perf_spectrum = performance_spectrum.apply(log, activities)
from pm4py.visualization.performance_spectrum import visualizer as perf_spectrum_visualizer
from pm4py.visualization.performance_spectrum.variants import neato
format = file_path[file_path.index(".") + 1:].lower()
gviz = perf_spectrum_visualizer.apply(perf_spectrum, parameters={neato.Parameters.FORMAT.value: format})
perf_spectrum_visualizer.save(gviz, file_path)