def plot_state_change_graph_leaves(self):
import matplotlib.pyplot as plt
import numpy as np
import analysis
saved_projection = self.get_projection()
n = len(self.unique_addresses)
xyvals = []
for leaf_projection in self.leaf_projections:
self.set_projection(leaf_projection)
xyvals += [analysis.compute_changes_per_round(self, subdivisions=1, bucket_scalar = 1./n)]
# restore previous projection
self.set_projection(saved_projection)
xlabel = "MiCA Rounds (%s ms)" % self.runtime_info.round_ms
ylabel = "Fraction of nodes changed state"
legend_labels = self.leaf_projections
ipython.analysis_plot_2d_multiple(xyvals, xlabel, ylabel, legend_labels)
def plot_state_change_graph(self):
x,y = analysis.compute_changes_per_round(self)
xlabel = "Round"
ylabel = "State changes per node per round"
self.plot_2d(x,y, xlabel, ylabel)