def verbHistogram(self, verbString):
verb = Verb.get(Verb.verb == verbString)
frequencies = [frame.frequency for frame in verb.frames if frame.frequency > self.value ]
frequencies.sort(reverse=True)
plotter = Plotter()
plotter.drawBars(frequencies, edgecolor="#cccccc")
plotter.title('Verb '+verbString+' Histogram')
plotter.labels("Frames", 'Frequency')
plotter.output()
def plotEvaluation(self):
plotter = Plotter()
plotter.drawLine(self.values, self.precisionValues, 'precision')
plotter.drawLine(self.values, self.recallValues, 'recall')
plotter.drawLine(self.values, self.fmeasureValues, 'fmeasure')
plotter.title('SCFExtractor Evaluation')
plotter.labels("Cutoff", '%')
if self.output:
plotter.output(self.output)
else:
plotter.show()
from modules.LowPassFilter import LowPassFilter
from modules.Plotter import Plotter
from time import gmtime, strftime
params = [600, 2000, 8000] # fp, fs, Fs, [App]
mFilter = LowPassFilter(params)
mPlot = Plotter()
mFilter.calc()
NonCausalcoeff = mFilter.getNonCausalCoeff()
CausalCoeff = mFilter.getCausalCoeff()
fileName = "Filter" + strftime("%Y-%m-%d %H:%M:%S", gmtime()) + ".txt"
file = open (fileName, "w")
for c in CausalCoeff:
file.write( str(c) +"\n")
file.close()
mPlot.setNPlot(2)
mPlot.addPlot([NonCausalcoeff, "", "RESPUESTA EN FCIA"], "FREQ_RESPONSE")
legend= "COEFICIENTES: " + str(mFilter.getNCoefficients())
mPlot.addPlot([CausalCoeff, "bo", legend])
mPlot.show()
