def test_getBaseflowIndex(self):
if self.usepandas:
sig_raw = sig.getBaseflowIndex(self.simulation,
self.observation,
datetime_series=self.dd_daily,
mode="get_raw_data")
self.assertEqual(type(sig_raw), type({}))
self.assertGreater(sig_raw.__len__(), 0)
sig_sig_1 = sig.getBaseflowIndex(self.simulation,
self.observation,
datetime_series=pd.date_range(
"2015-05-01",
periods=self.timespanlen),
mode="get_signature")
sig_sig_2 = sig.getBaseflowIndex(self.simulation,
None,
datetime_series=pd.date_range(
"2015-05-01",
periods=self.timespanlen),
mode="get_signature")
sig_dev = sig.getBaseflowIndex(self.simulation,
self.observation,
datetime_series=pd.date_range(
"2015-05-01",
periods=self.timespanlen),
mode="calc_Dev")
self.assertEqual(type(1.0), type(float(sig_sig_1)))
self.assertEqual(type({}), type(sig_sig_2))
self.assertEqual(type(1.0), type(float(sig_dev)))
dd_daily,
threshold_factor=5,
section="day"))
print(
sig.getAverageBaseflowDuration(simulation,
observation,
dd_daily,
threshold_factor=0.2,
section="day"))
print(
sig.getAverageBaseflowFrequencyPerSection(simulation, observation,
dd_daily, 3, "day"))
print(
sig.getAverageBaseflowUnderflowPerSection(simulation,
observation,
dd_daily,
threshold_factor=4,
section="day"))
print(
sig.getBaseflowIndex(simulation, observation,
pd.date_range("2015-05-01", periods=timespanlen)))
print(sig.getSlopeFDC(simulation, observation))
print(
sig.getLowFlowVar(simulation, observation,
pd.date_range("2015-05-01", periods=timespanlen)))
print(
sig.getHighFlowVar(simulation, observation,
pd.date_range("2015-05-01", periods=timespanlen)))