pm4py.util package

Subpackages

• pm4py.util.compression package
  • Submodules
    • pm4py.util.compression.dtypes module
    • pm4py.util.compression.util module
      • is_polars_lazyframe()
      • project_univariate()
      • discover_dfg()
      • discover_dfg_uvcl()
      • get_start_activities()
      • get_end_activities()
      • get_alphabet()
      • get_variants()
  • Module contents
• pm4py.util.dt_parsing package
  • Subpackages
    • pm4py.util.dt_parsing.variants package
      • Submodules
      • Module contents
  • Submodules
    • pm4py.util.dt_parsing.parser module
      • get()
  • Module contents
• pm4py.util.lp package
  • Subpackages
    • pm4py.util.lp.util package
      • Module contents
    • pm4py.util.lp.variants package
      • Submodules
      • Module contents
  • Submodules
    • pm4py.util.lp.solver module
      • Parameters
      • apply()
      • get_prim_obj_from_sol()
      • get_points_from_sol()
  • Module contents

Submodules

• pm4py.util.business_hours module
  • BusinessHours
    • BusinessHours.business_seconds_from_week_start()
    • BusinessHours.get_seconds()
  • soj_time_business_hours_diff()
• pm4py.util.colors module
  • get_corr_hex()
  • get_transitions_color()
  • get_string_from_int_below_255()
• pm4py.util.constants module
  • get_param_from_env()
  • get_default_timestamp_format()
  • get_default_xes_timestamp_format()
  • get_default_is_aware_enabled()
  • AvailableSerializations
    • AvailableSerializations.EVENT_LOG
    • AvailableSerializations.DATAFRAME
    • AvailableSerializations.PETRI_NET
    • AvailableSerializations.PROCESS_TREE
    • AvailableSerializations.BPMN
    • AvailableSerializations.DFG
• pm4py.util.deprecation module
  • deprecated()
  • message_location
  • fail_if_not_removed()
  • DeprecatedWarning
  • UnsupportedWarning
• pm4py.util.exec_utils module
  • unroll()
  • get_param_value()
  • get_variant()
• pm4py.util.hie_utils module
  • indent_representation()
• pm4py.util.intervaltree module
  • Interval
    • Interval.overlaps()
    • Interval.contains()
  • IntervalTree
    • IntervalTree.Node
    • IntervalTree.add()
• pm4py.util.labels_similarity module
  • label_sets_similarity()
  • map_labels()
• pm4py.util.ml_utils module
  • DecisionTreeClassifier()
  • AffinityPropagation()
  • KMeans()
  • KNeighborsRegressor()
  • LocallyLinearEmbedding()
• pm4py.util.nx_utils module
  • Parameters
    • Parameters.SHOW_PROGRESS_BAR
  • get_default_nx_environment()
  • Graph()
  • DiGraph()
  • MultiGraph()
  • MultiDiGraph()
  • ancestors()
  • descendants()
  • connected_components()
  • bfs_tree()
  • topological_sort()
  • contracted_nodes()
  • shortest_path()
  • strongly_connected_components()
  • has_path()
  • is_strongly_connected()
  • all_pairs_shortest_path()
  • all_pairs_dijkstra()
  • find_cliques()
  • degree_centrality()
  • greedy_modularity_communities()
  • maximum_flow_value()
  • minimum_weight_full_matching()
  • Edmonds()
  • neo4j_upload()
  • neo4j_download()
  • nx_to_ocel()
  • nx_to_event_log()
• pm4py.util.pandas_utils module
  • get_default_dataframe_environment()
  • to_dict_records()
  • to_dict_index()
  • insert_index()
  • insert_case_index()
  • insert_ev_in_tr_index()
  • format_unique()
  • insert_feature_activity_position_in_trace()
  • insert_case_arrival_finish_rate()
  • insert_case_service_waiting_time()
  • check_is_pandas_dataframe()
  • is_polars_lazyframe()
  • instantiate_dataframe()
  • instantiate_dataframe_from_dict()
  • instantiate_dataframe_from_records()
  • get_grouper()
  • get_total_seconds()
  • convert_to_seconds()
  • dataframe_column_string_to_datetime()
  • read_csv()
  • concat()
  • merge()
  • check_pandas_dataframe_columns()
  • get_traces()
  • get_attribute_values_count()
  • df_row_count()
  • get_pivot_timestamp_distribution()
• pm4py.util.points_subset module
  • pick_chosen_points()
  • pick_chosen_points_list()
• pm4py.util.prefixspan module
  • PrefixSpan
    • PrefixSpan.frequent()
• pm4py.util.regex module
  • get_new_char()
  • SharedObj
• pm4py.util.rustxes_utils module
  • get_rustxes_backend_name()
  • import_rustxes_backend()
• pm4py.util.string_distance module
  • levenshtein_distance()
  • levenshtein()
  • argmin_levenshtein()
  • argmax_levenshtein()
• pm4py.util.thread_utils module
  • Pm4pyThreadManager
    • Pm4pyThreadManager.submit()
    • Pm4pyThreadManager.join()
• pm4py.util.typing module
• pm4py.util.variants_util module
  • Parameters
    • Parameters.ACTIVITY_KEY
    • Parameters.PARAMETER_VARIANT_DELIMITER
  • variant_to_trace()
  • get_activities_from_variant()
  • get_variant_from_trace()
  • aggregate_consecutive_activities_in_variants()
• pm4py.util.vis_utils module
  • human_readable_stat()
  • get_arc_penwidth()
  • get_trans_freq_color()
  • get_base64_from_gviz()
  • get_base64_from_file()
  • check_visualization_inside_jupyter()
  • view_image_in_jupyter()
  • open_opsystem_image_viewer()
  • get_corr_hex()
  • value_to_color()
• pm4py.util.xes_constants module

Module contents

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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/>.

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