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from pm4py.objects.log.util import dataframe_utils
import unittest
import os
from pm4py.util import constants, pandas_utils
class StatisticsDfTest(unittest.TestCase):
def get_dataframe(self):
dataframe = pandas_utils.read_csv(os.path.join("input_data", "roadtraffic100traces.csv"))
dataframe = dataframe_utils.convert_timestamp_columns_in_df(dataframe, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
return dataframe
def test_end_activities(self):
from pm4py.statistics.end_activities.pandas import get
df = self.get_dataframe()
get.get_end_activities(df)
def test_start_activities(self):
from pm4py.statistics.start_activities.pandas import get
df = self.get_dataframe()
get.get_start_activities(df)
def test_case_arrival(self):
from pm4py.statistics.traces.generic.pandas import case_arrival
df = self.get_dataframe()
case_arrival.get_case_arrival_avg(df)
def test_case_statistics(self):
from pm4py.statistics.traces.generic.pandas import case_statistics
df = self.get_dataframe()
case_statistics.get_cases_description(df)
case_statistics.get_variants_df(df)
case_statistics.get_variant_statistics(df)
#case_statistics.get_variant_statistics_with_case_duration(df)
case_statistics.get_events(df, "N77802")
case_statistics.get_variants_df_with_case_duration(df)
case_statistics.get_variants_df_and_list(df)
case_statistics.get_kde_caseduration(df)
def test_variants(self):
from pm4py.statistics.variants.pandas import get
df = self.get_dataframe()
get.get_variants_set(df)
def test_batch_detection(self):
from pm4py.algo.discovery.batches.variants import pandas as pandas_batches
dataframe = pandas_utils.read_csv(os.path.join("input_data", "receipt.csv"))
dataframe = dataframe_utils.convert_timestamp_columns_in_df(dataframe, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
pandas_batches.apply(dataframe)
def test_case_overlap(self):
from pm4py.statistics.overlap.cases.pandas import get as overlap_get
df = self.get_dataframe()
overlap_get.apply(df)
def test_cycle_time(self):
from pm4py.statistics.traces.cycle_time.pandas import get as cycle_time_get
df = self.get_dataframe()
cycle_time_get.apply(df)
def test_rework(self):
from pm4py.statistics.rework.pandas import get as rework_get
df = self.get_dataframe()
rework_get.apply(df)
def test_events_distribution(self):
from pm4py.statistics.attributes.pandas import get as attributes_get
df = self.get_dataframe()
attributes_get.get_events_distribution(df)
def test_msd(self):
from pm4py.algo.discovery.minimum_self_distance.variants import pandas as msd_pandas
df = self.get_dataframe()
msd_pandas.apply(df)
if __name__ == "__main__":
unittest.main()
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