def run_analysis():
analysis = Analysis(data_path=str(argv[1]).strip() + "_data.txt",
test_statistic=test_statistic,
truncate=5)
analysis.load_data()
analysis.perform()
result = analysis.get_results()
return result
def run_analysis(observations, assignments):
analysis = Analysis(observed_values=observations,
unit_assignments=assignments,
test_statistic=test_statistic,
save_path=TEST_NAME + "_results.txt")
analysis.perform()
analysis.save_results()
return analysis.get_results()
from database.DataBase import DataBase
from generator.Simulator import Simulator
from acqusition.Station import Station
from storage.Storage import Storage
from query.Query import Query
from analysis.Analysis import Analysis
db = DataBase()
# generate dataset
generators = []
for i in range(2):
generator = Simulator(type='simulator', item='item_A', name='Temperature')
generator.encode()
generators.append(generator)
# acqusition
station = Station(generators)
station.collect_station_datas()
# storage
storage = Storage(db, station)
storage.storage()
# query
query = Query(storage.session)
query.query()
# Analysis
analysis = Analysis(query.data_frame)
analysis.analysis()
# display