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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() | |