Source code for tests.graphs_forming

import os
import unittest

from pm4py.statistics.traces.generic.pandas import case_statistics as pd_case_statistics
from pm4py.objects.log.importer.xes import importer as xes_importer
from pm4py.statistics.traces.generic.log import case_statistics as log_case_statistics
from pm4py.statistics.attributes.log import get as log_attributes_filter
from pm4py.statistics.attributes.pandas import get as pd_attributes_filter
import pandas as pd
from pm4py.objects.log.util import dataframe_utils


[docs]class GraphsForming(unittest.TestCase):
[docs] def test_dfCasedurationPlotSemilogx(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" df = pd.read_csv(os.path.join("input_data", "receipt.csv")) df = dataframe_utils.convert_timestamp_columns_in_df(df) x, y = pd_case_statistics.get_kde_caseduration(df) json = pd_case_statistics.get_kde_caseduration_json(df) del json
[docs] def test_logCaseDurationPlotSemiLogx(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" log = xes_importer.apply(os.path.join("input_data", "receipt.xes")) x, y = log_case_statistics.get_kde_caseduration(log) json = log_case_statistics.get_kde_caseduration_json(log) del json
[docs] def test_dfNumericAttribute(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" df = pd.read_csv(os.path.join("input_data", "roadtraffic100traces.csv")) df = dataframe_utils.convert_timestamp_columns_in_df(df) x, y = pd_attributes_filter.get_kde_numeric_attribute(df, "amount") json = pd_attributes_filter.get_kde_numeric_attribute_json(df, "amount") del json
[docs] def test_logNumericAttribute(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" log = xes_importer.apply(os.path.join("input_data", "roadtraffic100traces.xes")) x, y = log_attributes_filter.get_kde_numeric_attribute(log, "amount") json = log_attributes_filter.get_kde_numeric_attribute_json(log, "amount") del json
[docs] def test_dfDateAttribute(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" df = pd.read_csv(os.path.join("input_data", "roadtraffic100traces.csv")) df = dataframe_utils.convert_timestamp_columns_in_df(df) x, y = pd_attributes_filter.get_kde_date_attribute(df) json = pd_attributes_filter.get_kde_date_attribute_json(df) del json
[docs] def test_logDateAttribute(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" log = xes_importer.apply(os.path.join("input_data", "receipt.xes")) x, y = log_attributes_filter.get_kde_date_attribute(log) json = log_attributes_filter.get_kde_date_attribute_json(log) del json
if __name__ == "__main__": unittest.main()