pm4py.algo.filtering.pandas.paths.paths_filter module#
- class pm4py.algo.filtering.pandas.paths.paths_filter.Parameters(*values)[source]#
Bases:
Enum- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- TARGET_ATTRIBUTE_KEY = 'target_attribute_key'#
- DECREASING_FACTOR = 'decreasingFactor'#
- POSITIVE = 'positive'#
- MIN_PERFORMANCE = 'min_performance'#
- MAX_PERFORMANCE = 'max_performance'#
- pm4py.algo.filtering.pandas.paths.paths_filter.apply(df: DataFrame, paths: List[Tuple[str, str]], parameters: Dict[str | Parameters, Any] | None = None) DataFrame[source]#
Apply a filter on traces containing / not containing a path
- Parameters:
df – Dataframe
paths – Paths to filter on
parameters –
- Possible parameters of the algorithm, including:
Parameters.CASE_ID_KEY -> Case ID column in the dataframe Parameters.ATTRIBUTE_KEY -> Attribute we want to filter Parameters.POSITIVE -> Specifies if the filter should be applied including traces (positive=True) or excluding traces (positive=False)
- Returns:
Filtered dataframe
- Return type:
df
- pm4py.algo.filtering.pandas.paths.paths_filter.apply_performance(df: DataFrame, provided_path: Tuple[str, str], parameters: Dict[str | Parameters, Any] | None = None) DataFrame[source]#
Filters the cases of a dataframe where there is at least one occurrence of the provided path occurring in the defined timedelta range.
- Parameters:
df – Dataframe
paths – Paths to filter on
parameters –
- Possible parameters of the algorithm, including:
Parameters.CASE_ID_KEY -> Case ID column in the dataframe Parameters.ATTRIBUTE_KEY -> Attribute we want to filter Parameters.TIMESTAMP_KEY -> Attribute identifying the timestamp in the log Parameters.POSITIVE -> Specifies if the filter should be applied including traces (positive=True) or excluding traces (positive=False) Parameters.MIN_PERFORMANCE -> Minimal allowed performance of the provided path Parameters.MAX_PERFORMANCE -> Maximal allowed performance of the provided path
- Returns:
Filtered dataframe
- Return type:
df