pm4py.algo.filtering.pandas.attr_value_repetition 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.algo.filtering.pandas.attr_value_repetition.filter 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.algo.filtering.pandas.attr_value_repetition.filter.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

CASE_ID_KEY = 'pm4py:param:case_id_key'#
ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
MIN_REP = 'min_rep'#
MAX_REP = 'max_rep'#
pm4py.algo.filtering.pandas.attr_value_repetition.filter.apply(df: DataFrame, value: Any, parameters: Dict[str | Parameters, Any] | None = None) DataFrame[source]#

Filters the trace of the dataframe where the given attribute value is repeated (in a range of repetitions that is specified by the user)

Parameters#

df

Dataframe

value

Value that is investigated

parameters

Parameters of the filter, including: - Parameters.ATTRIBUTE_KEY => the attribute key - Parameters.MIN_REP => minimum number of repetitions - Parameters.MAX_REP => maximum number of repetitions - Parameters.CASE_ID_KEY => the columns of the dataframe that is the case identifier

Returns#

filtered_df

Filtered dataframe