def plot(self, style="", vlines_height=1000):
_xlabel("time")
_ylabel(self.get_signal_type())
_grid()
if len(style) > 0 and style[0] == "|":
return _vlines(self.get_times(), -vlines_height / 2, vlines_height / 2, style[1:])
else:
return _plot(self.get_times(), self.get_values(), style)
def _plot(self, plotBefore, plotAfter): # Plots the results
plt.figure(1, figsize=(10, 5))
plt.subplot(121)
barWidth = 0.3
bars1 = plotBefore
bars2 = plotAfter
r1 = np.arange(len(bars1))
r2 = [x + barWidth for x in r1]
plt.bar(r1, bars1, width = barWidth, color = 'white', edgecolor = 'black', capsize=7, label='First iteration')
plt.bar(r2, bars2, width = barWidth, color = 'dimgrey', edgecolor = 'black', capsize=7, label=str(self.maxIterations)+':th iteration')
plt.xticks([r + barWidth for r in range(len(bars1))], ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10'])
plt.ylabel('Fitness score')
plt.legend()
plt.title('Mutation rate: '+str(self.mutationRate) + '. Population size: ' + str(self.popSize))
plt.subplot(122)
plt.title('Total fails')
plt.xlabel('Iterations')
plt._plot(self.sumFailVec, 'dimgrey')
plt.grid()
plt.ylabel('Fails')
plt.show()
def plot(self):
_plot(self._params['irf'])
def plot(self):
_plot(self._params['irf'])