def get_coverage(self):
loading = self._params.get('loading')
if loading != 0:
cov = []
covcor = []
stages = [ADSORPTION, DESORPTION_P + DESORPTION_T]
summing = [1 ,-1]
# TODO make iteration more streamlined
for i, stage in enumerate(stages):
flux = self._curves.get('flux',stage)[0]
flux_corr = self._curves.get('flux:corr',stage)[0]
cov.append(analysis.running_sum(flux, summing[i]) / loading)
covcor.append(analysis.running_sum(flux_corr, summing[i]) / loading)
# Save Curves
self._curves.compose('cov', cov, stages, 'Amine Efficiency')
self._curves.compose('cov:corr', covcor , stages, 'Amine Efficiency')
# and save parameter information
self._params.set('effc:ads', covcor[0].max())
self._params.set('effc:des', covcor[1].max())
self._params.set('eff:ads', cov[0].max())
self._params.set('eff:des', cov[1].max())
def get_coverage(self):
loading = self.p.get('loading')
if loading != 0:
cov = []
covcor = []
stages = [ADSORPTION, DESORPTION_P + DESORPTION_T]
summing = [1,-1]
for i, stage in enumerate(stages):
co2 = self.c.get('conc:co2',stage)[0]/100
if len(co2) == 0:
cov.append(np.array([0,0],float))
covcor.append(np.array([0,0],float))
continue
flux = self.c.get('flux:dt:co2',stage)[0]
#flux_corr = self.c.get('flux:c:co2',stage)[0]
cov.append(analysis.running_sum(flux, summing[i]) / loading)
#covcor.append(analysis.running_sum(flux_corr, summing[i]) / loading)
# Save Curves
self.c.compose('cov', cov, stages, 'Amine Efficiency %')
#self.c.compose('cov:corr', covcor , stages, 'Amine Efficiency')
# and save parameter information
#self.p.set('effc:ads', covcor[0].max())
#self.p.set('effc:des', covcor[1].max())
self.p.set('eff:ads', cov[0].max())
self.p.set('eff:des', cov[1].max())