def get_variants(log: Union[EventLog, pd.DataFrame]) -> Dict[str, List[Trace]]:
"""
Gets the variants from the log
Parameters
--------------
log
Event log
Returns
--------------
variants
Dictionary of variants along with their count
"""
import pm4py
if pm4py.util.variants_util.VARIANT_SPECIFICATION == pm4py.util.variants_util.VariantsSpecifications.STRING:
import warnings
warnings.warn('pm4py.get_variants is deprecated. Please use pm4py.get_variants_as_tuples instead.')
if pm4py.util.variants_util.VARIANT_SPECIFICATION == pm4py.util.variants_util.VariantsSpecifications.LIST:
raise Exception('Please use pm4py.get_variants_as_tuples')
if check_is_dataframe(log):
check_dataframe_columns(log)
from pm4py.statistics.variants.pandas import get
return get.get_variants_count(log)
else:
from pm4py.statistics.variants.log import get
return get.get_variants(log)
def get_variants_as_tuples(log: Union[EventLog, pd.DataFrame]) -> Dict[Tuple[str], List[Trace]]:
"""
Gets the variants from the log
(where the keys are tuples and not strings)
Parameters
--------------
log
Event log
Returns
--------------
variants
Dictionary of variants along with their count
"""
import pm4py
# the behavior of PM4Py is changed to allow this to work
pm4py.util.variants_util.VARIANT_SPECIFICATION = pm4py.util.variants_util.VariantsSpecifications.LIST
if check_is_dataframe(log):
check_dataframe_columns(log)
from pm4py.statistics.variants.pandas import get
return get.get_variants_count(log)
else:
from pm4py.statistics.variants.log import get
return get.get_variants(log)
def get_variants_as_tuples(log: Union[EventLog, pd.DataFrame]) -> Dict[Tuple[str], List[Trace]]:
"""
Gets the variants from the log
(where the keys are tuples and not strings)
Parameters
--------------
log
Event log
Returns
--------------
variants
Dictionary of variants along with their count
"""
if type(log) not in [pd.DataFrame, EventLog, EventStream]: raise Exception("the method can be applied only to a traditional event log!")
import pm4py
# the behavior of PM4Py is changed to allow this to work
pm4py.util.variants_util.VARIANT_SPECIFICATION = pm4py.util.variants_util.VariantsSpecifications.LIST
if check_is_pandas_dataframe(log):
check_pandas_dataframe_columns(log)
from pm4py.statistics.variants.pandas import get
return get.get_variants_count(log, parameters=get_properties(log))
else:
from pm4py.statistics.variants.log import get
return get.get_variants(log, parameters=get_properties(log))
def get_variants(log):
"""
Gets the variants from the log
Parameters
--------------
log
Event log
Returns
--------------
variants
Dictionary of variants along with their count
"""
if check_is_dataframe(log):
check_dataframe_columns(log)
from pm4py.statistics.variants.pandas import get
return get.get_variants_count(log)
else:
from pm4py.statistics.variants.log import get
return get.get_variants(log)