Source code for pm4py.visualization.graphs.variants.barplot
'''
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.
This program 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from copy import copy
from enum import Enum
import matplotlib
from pm4py.util import exec_utils, constants
from pm4py.visualization.graphs.util import common
from typing import Optional, Dict, Any, Union, List
[docs]
class Parameters(Enum):
TITLE = "title"
FORMAT = "format"
X_AXIS = "x_axis"
Y_AXIS = "y_axis"
PYPLOT_FIGURE_KWARGS = "pylot_figure_kwargs"
TRANSPARENT = "transparent"
[docs]
def apply_plot(
x: List[float],
y: List[float],
parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> str:
"""
Visualizes a barchar provided its x-axis and y-axis points
Parameters
-----------------
x
X-axis points
y
Y-axis points
parameters
Parameters
Returns
-----------------
tmp_file_name
Temporary file name
"""
if parameters is None:
parameters = {}
title = exec_utils.get_param_value(Parameters.TITLE, parameters, "")
format = exec_utils.get_param_value(Parameters.FORMAT, parameters, "png")
x_axis = exec_utils.get_param_value(Parameters.X_AXIS, parameters, "")
y_axis = exec_utils.get_param_value(Parameters.Y_AXIS, parameters, "")
pyplot_figure_kwargs = exec_utils.get_param_value(
Parameters.PYPLOT_FIGURE_KWARGS, parameters, {}
)
is_transp = exec_utils.get_param_value(
Parameters.TRANSPARENT,
parameters,
True if constants.DEFAULT_BGCOLOR == "transparent" else False,
)
filename = common.get_temp_file_name(format)
current_backend = copy(matplotlib.get_backend())
matplotlib.use("Agg")
from matplotlib import pyplot
pyplot.clf()
fig = pyplot.figure(**pyplot_figure_kwargs)
ax = fig.add_axes([0, 0, 1, 1])
ax.bar(x, y)
pyplot.xlabel(x_axis)
pyplot.xticks(rotation=90, fontsize=8)
pyplot.ylabel(y_axis)
pyplot.title(title)
pyplot.savefig(filename, bbox_inches="tight", transparent=is_transp)
pyplot.clf()
matplotlib.use(current_backend)
return filename