def test_one_phase_with_few_records(self, jhu_data, population_data):
population = population_data.value("Italy")
clean_df = jhu_data.subset("Italy")
clean_df[Term.COUNTRY] = "Italy"
clean_df[Term.PROVINCE] = Term.UNKNOWN
clean_df = clean_df.iloc[:2, :]
warnings.filterwarnings("ignore", category=DeprecationWarning)
with pytest.raises(ValueError):
_ = Trend(clean_df, population, "Italy")
def test_one_phase_rmsle_without_analyse(self, jhu_data, population_data):
population = population_data.value("Italy")
trend = Trend(jhu_data,
population,
"Italy",
start_date="25Mar2020",
end_date="02Apr2020")
with pytest.raises(NameError):
trend.rmsle()
def test_one_phase_with_few_records(self, jhu_data, population_data):
population = population_data.value("Italy")
sr_df = jhu_data.to_sr(country="Italy",
population=population,
start_date="25Mar2020",
end_date="26Mar2020")
with pytest.raises(ValueError):
trend = Trend(sr_df)
trend.run()
def test_one_phase(self, jhu_data, population_data, country, func):
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country,
population=population,
start_date="25Mar2020",
end_date="02Apr2020")
trend = Trend(sr_df)
assert isinstance(trend.rmsle(), float)
trend.show(area=jhu_data.area_name(country="Italy"))
def test_one_phase(self, jhu_data, population_data):
population = population_data.value("Italy")
trend = Trend(jhu_data,
population,
"Italy",
start_date="25Mar2020",
end_date="02Apr2020")
trend.analyse()
assert isinstance(trend.rmsle(), float)
trend.show()
def test_one_phase_with_few_records(self, jhu_data, population_data,
country):
warnings.simplefilter("ignore", category=UserWarning)
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country,
population=population,
start_date="25Mar2020",
end_date="26Mar2020")
with pytest.raises(ValueError):
Trend(sr_df).run()
def test_one_phase(self, jhu_data, population_data):
population = population_data.value("Italy")
sr_df = jhu_data.to_sr(country="Italy",
population=population,
start_date="25Mar2020",
end_date="02Apr2020")
trend = Trend(sr_df)
trend.run()
assert isinstance(trend.rmsle(), float)
warnings.simplefilter("ignore", category=UserWarning)
trend.show(area=jhu_data.area_name(country="Italy"))
def test_one_phase_with_dataframe(self, jhu_data, population_data):
population = population_data.value("Italy")
clean_df = jhu_data.cleaned()
warnings.filterwarnings("ignore", category=DeprecationWarning)
trend = Trend(clean_df,
population,
"Italy",
start_date="25Mar2020",
end_date="02Apr2020")
trend.analyse()
assert isinstance(trend.rmsle(), float)
trend.show()
def test_find(self, jhu_data, population_data, country, max_rmsle=20.0):
# Setup
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country, population=population)
# Find change points
change_finder = ChangeFinder(sr_df, max_rmsle=max_rmsle)
change_finder.run()
# For all phases, check if RMSLE score is lower than max_rmsle=20.0
for (start_date, end_date) in zip(*change_finder.date_range()):
phase_df = jhu_data.to_sr(country=country,
population=population,
start_date=start_date,
end_date=end_date)
rmsle = Trend(sr_df=phase_df).rmsle()
assert rmsle < max_rmsle
def test_min_size(self, jhu_data, population_data, country):
# Dataset
population = population_data.value(country)
subset_df = jhu_data.subset(country=country, population=population)
# Too small min_size
with pytest.raises(ValueError):
TrendDetector(data=subset_df, min_size=2)
# Too large min_size
with pytest.raises(ValueError):
TrendDetector(data=subset_df, min_size=100000)
# Reset
detector = TrendDetector(data=subset_df)
detector.reset()
# Deprecated
warnings.filterwarnings("ignore", category=DeprecationWarning)
ChangeFinder(subset_df)
Trend(subset_df)