Spaces:
Sleeping
Sleeping
File size: 2,738 Bytes
8097001 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
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
from pm4py.util import constants, pandas_utils
from pm4py.objects.log.util import dataframe_utils
class GraphsForming(unittest.TestCase):
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 = pandas_utils.read_csv(os.path.join("input_data", "receipt.csv"))
df = dataframe_utils.convert_timestamp_columns_in_df(df, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
x, y = pd_case_statistics.get_kde_caseduration(df)
json = pd_case_statistics.get_kde_caseduration_json(df)
del json
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
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 = pandas_utils.read_csv(os.path.join("input_data", "roadtraffic100traces.csv"))
df = dataframe_utils.convert_timestamp_columns_in_df(df, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
x, y = pd_attributes_filter.get_kde_numeric_attribute(df, "amount")
json = pd_attributes_filter.get_kde_numeric_attribute_json(df, "amount")
del json
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
if __name__ == "__main__":
unittest.main()
|