pm4py.visualization.graphs.variants package#
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
Submodules#
pm4py.visualization.graphs.variants.attributes module#
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
- class pm4py.visualization.graphs.variants.attributes.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- TITLE = 'title'#
- FORMAT = 'format'#
- X_AXIS = 'x_axis'#
- Y_AXIS = 'y_axis'#
- PYPLOT_PLOT_KWARGS = 'pylot_plot_kwargs'#
- TRANSPARENT = 'transparent'#
- pm4py.visualization.graphs.variants.attributes.apply_plot(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (non-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name
- pm4py.visualization.graphs.variants.attributes.apply_semilogx(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (semi-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name
pm4py.visualization.graphs.variants.barplot module#
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
- class pm4py.visualization.graphs.variants.barplot.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- TITLE = 'title'#
- FORMAT = 'format'#
- X_AXIS = 'x_axis'#
- Y_AXIS = 'y_axis'#
- PYPLOT_FIGURE_KWARGS = 'pylot_figure_kwargs'#
- TRANSPARENT = 'transparent'#
- pm4py.visualization.graphs.variants.barplot.apply_plot(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
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
pm4py.visualization.graphs.variants.cases module#
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
- class pm4py.visualization.graphs.variants.cases.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- TITLE = 'title'#
- FORMAT = 'format'#
- X_AXIS = 'x_axis'#
- Y_AXIS = 'y_axis'#
- PYPLOT_PLOT_KWARGS = 'pylot_plot_kwargs'#
- TRANSPARENT = 'transparent'#
- pm4py.visualization.graphs.variants.cases.apply_plot(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (non-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name
- pm4py.visualization.graphs.variants.cases.apply_semilogx(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (semi-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name
pm4py.visualization.graphs.variants.dates module#
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
- class pm4py.visualization.graphs.variants.dates.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- TITLE = 'title'#
- FORMAT = 'format'#
- X_AXIS = 'x_axis'#
- Y_AXIS = 'y_axis'#
- PYPLOT_PLOT_KWARGS = 'pylot_plot_kwargs'#
- TRANSPARENT = 'transparent'#
- pm4py.visualization.graphs.variants.dates.apply_plot(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (non-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name
- pm4py.visualization.graphs.variants.dates.apply_semilogx(x: List[float], y: List[float], parameters: Dict[str | Parameters, Any] | None = None) str[source]#
Plot (semi-logarithmic way) the graph with axis values contained in x and y
Parameters#
- x
Values for x-axis
- y
Values for y-axis
- parameters
- Parameters of the algorithm, including:
Parameters.FORMAT -> Format of the target image Parameters.TITLE -> Title of the image
Returns#
- temp_file_name
Representation temporary file name