pm4py.algo.transformation.log_to_interval_tree.variants package#

PM4Py – A Process Mining Library for Python

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Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Submodules#

pm4py.algo.transformation.log_to_interval_tree.variants.open_paths module#

PM4Py – A Process Mining Library for Python

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.transformation.log_to_interval_tree.variants.open_paths.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'#

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#

ACTIVITY_KEY = 'pm4py:param:activity_key'#

EPSILON = 'epsilon'#

FILTER_ACTIVITY_COUPLE = 'filter_activity_couple'#

pm4py.algo.transformation.log_to_interval_tree.variants.open_paths.log_to_intervals(log: EventLog | DataFrame, parameters: Dict[Any, Any] | None = None) → List[List[Any]][source]#

Transforms the event log to a list of intervals that are the directly-follows paths in the log (open at the complete timestamp of the source event, and closed at the start timestamp of the target event).

Parameters#

log

Event log

parameters

Parameters of the algorithm, including: - Parameters.ACTIVITY_KEY => the attribute to be used as activity (default: xes_constants.DEFAULT_NAME_KEY) - Parameters.START_TIMESTAMP_KEY => the attribute to be used as start timestamp (default: xes_constants.DEFAULT_TIMESTAMP_KEY) - Parameters.TIMESTAMP_KEY => the attribute to be used as completion timestamp (default: xes_constants.DEFAULT_TIMESTAMP_KEY) - Parameters.EPSILON => the small gap that is removed from the timestamp of the source event and added to the

timestamp of the target event to make interval querying possible

Parameters.FILTER_ACTIVITY_COUPLE => (optional) keeps only the paths between the specified tuple of two activities.

Returns#

tree: Interval tree object (which can be queried at a given timestamp, or range of timestamps)

pm4py.algo.transformation.log_to_interval_tree.variants.open_paths.interval_to_tree(intervals: List[List[Any]], parameters: Dict[Any, Any] | None = None) → IntervalTree[source]#: Internal methods to convert the obtained intervals to the eventual IntervalTree

pm4py.algo.transformation.log_to_interval_tree.variants.open_paths.apply(log: EventLog | DataFrame, parameters: Dict[Any, Any] | None = None) → IntervalTree[source]#

Transforms the event log to an interval tree in which the intervals are the directly-follows paths in the log (open at the complete timestamp of the source event, and closed at the start timestamp of the target event), and having as associated data the source and the target event.