'''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PM4Py is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with PM4Py. If not, see <https://www.gnu.org/licenses/>.
'''
import shutil
from enum import Enum
from typing import Optional, Dict, Any
from pm4py.util import exec_utils, vis_utils
from pm4py.visualization.performance_spectrum.variants import neato
[docs]class Variants(Enum):
NEATO = neato
[docs]def apply(perf_spectrum: Dict[str, Any], variant=Variants.NEATO, parameters: Optional[Dict[Any, Any]] = None) -> str:
"""
Construct the performance spectrum visualization
Parameters
----------------
perf_spectrum
Performance spectrum
variant
Variant of the visualization to use:
- NEATO: using the Graphviz Neato layouter
parameters
Variant-specific parameters
Returns
---------------
file_path
Path containing the visualization
"""
return exec_utils.get_variant(variant).apply(perf_spectrum, parameters=parameters)
[docs]def view(figure: str):
"""
Views the performance spectrum
Parameters
---------------
figure
Path containing the visualization
"""
if vis_utils.check_visualization_inside_jupyter():
vis_utils.view_image_in_jupyter(figure)
else:
vis_utils.open_opsystem_image_viewer(figure)
[docs]def save(figure: str, output_file_path: str):
"""
Saves the performance spectrum at the specified path
Parameters
---------------
figure
Path containing the visualization
output_file_path
Path into which the image should be saved
"""
shutil.copyfile(figure, output_file_path)
[docs]def serialize(figure: str):
"""
Serializes the performance spectrum visualization
Parameters
---------------
figure
Path containing the visualization
"""
with open(figure, "rb") as f:
return f.read()
[docs]def matplotlib_view(figure: str):
"""
Views the performance spectrum using Matplotlib
Parameters
---------------
figure
Path containing the visualization
"""
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread(figure)
plt.imshow(img)
plt.show()