ts_shape.features.cycles

Cycles

Utilities to detect and process cycles in timeseries.

• CycleExtractor: Build cycles from state/step/value changes.
• process_persistent_cycle: True stretches define cycles.
• process_trigger_cycle: True-to-False transition defines a cycle end.
• process_separate_start_end_cycle: Separate starts and ends signals.
• process_step_sequence: Start/end steps in integer values.
• process_state_change_cycle: Sequential rows define boundaries.

• process_value_change_cycle: Any value change defines a boundary.

• CycleDataProcessor: Split/merge/group by cycle windows.

• split_by_cycle: Split values by cycle ranges.
• merge_dataframes_by_cycle: Annotate values with cycle UUIDs.
• group_by_cycle_uuid: Group values by cycle key.
• split_dataframes_by_group: Further split by column groupings.

Modules:

• cycle_processor –
• cycles_extractor –