def plotResults(self, times, result):
nSamples = len(times)
means = np.mean(result[0, :, :], 0) / 1e6
mins = np.min(result[0, :, :], 0) / 1e6
maxs = np.max(result[0, :, :], 0) / 1e6
plotMeans = [(times[i], means[i]) for i in range(nSamples)]
plotMins = [(times[i], mins[i]) for i in range(nSamples)]
plotMaxs = [(times[i], maxs[i]) for i in range(nSamples)]
return sum([
list_plot(plotMeans, plotjoined=True, color='red'),
list_plot(plotMins, plotjoined=True, color='red'),
list_plot(plotMaxs, plotjoined=True, color='red')
])
def mu_portrait(n):
""" returns an encoded scatter plot of the nth roots of unity in the complex plane """
if n <= 120:
plot = list_plot([(cos(2*pi*m/n),sin(2*pi*m/n)) for m in range(n)],pointsize=30+60/n, axes=False)
else:
plot = circle((0,0),1,thickness=3)
plot.xmin(-1); plot.xmax(1); plot.ymin(-1); plot.ymax(1)
plot.set_aspect_ratio(4.0/3.0)
return encode_plot(plot)
def mu_portrait(n):
""" returns an encoded scatter plot of the nth roots of unity in the complex plane """
if n <= 120:
plot = list_plot([(cos(2*pi*m/n),sin(2*pi*m/n)) for m in range(n)],pointsize=30+60/n, axes=False)
else:
plot = circle((0,0),1,thickness=3)
plot.xmin(-1); plot.xmax(1); plot.ymin(-1); plot.ymax(1)
plot.set_aspect_ratio(4.0/3.0)
return encode_plot(plot)