def test_getMedianFlow(self):
self.assertEqual(
type(1.0),
type(
float(
sig.getMedianFlow(self.simulation,
self.observation,
mode="get_signature"))))
self.assertEqual(
type(1.0),
type(
float(
sig.getMedianFlow(self.simulation,
None,
mode="get_signature"))))
self.assertEqual(
type(1.0),
type(
float(
sig.getMedianFlow(self.simulation,
self.observation,
mode="get_raw_data"))))
self.assertEqual(
type(1.0),
type(
float(
sig.getMedianFlow(self.simulation,
None,
mode="get_raw_data"))))
self.assertEqual(
type(1.0),
type(
float(
sig.getMedianFlow(self.simulation,
self.observation,
mode="calc_Dev"))))
import pandas as pd
import spotpy.signatures as sig
print(
"INFO: For this example you need the folder >hymod< in the examples folder"
)
spot_setup = spot_setup()
parameterset = spot_setup.parameters()['random']
simulation = spot_setup.simulation(parameterset)
observation = spot_setup.evaluation()
timespanlen = simulation.__len__()
ddd = pd.date_range("2015-01-01 11:00", freq="5min", periods=timespanlen)
dd_daily = pd.date_range("2015-05-01", periods=timespanlen)
print(sig.getMedianFlow(simulation, observation))
print(
sig.getFloodFrequency(simulation, observation,
pd.date_range("2015-05-01", periods=timespanlen), 3,
"day"))
sig.__calcFloodDuration(simulation, ddd, 3, "year", "drought")
print(
sig.getAverageFloodOverflowPerSection(simulation,
observation,
dd_daily,
threshold_factor=1,
section="day"))
print(
sig.getAverageFloodDuration(simulation,
observation,