def plot()

in scripts/latency.py [0:0]

• 27 lines of code
• 1 McCabe index (conditional complexity)

def plot(aggregated_log_file, x_label='Committee size', legend_position='upper right'):
	with open(aggregated_log_file, 'r') as f:
		orders = eval(f.read())

	for (orders_type, order) in orders.items():
		fig = plt.figure()
		for (z_value, items) in order.items():
			x_values = []
			y_values = []
			y_err = []
			for item in items:
				x, y = list(zip(*item))
				x = int(x[0])
				y = y[15:len(y)-15]
				x_values.append(x)
				y_values.append(np.mean(y))
				y_err.append(np.std(y))

			data = list(zip(x_values, y_values, y_err))
			data.sort(key=lambda tup: tup[0])
			x_values, y_values, y_err = list(zip(*data))
			plt.ylim(0, 300)
			plt.errorbar(x_values, y_values, yerr=y_err, uplims=True, lolims=True,
            	label='%s' % z_value, marker='.', alpha=1, dashes=None)

		plt.legend(loc=legend_position)
		plt.xlabel(x_label)
		plt.ylabel('Observed latency (ms)')

		plt.savefig('latency-%s.pdf' % orders_type)
		print('created figure "latency-%s.pdf".' % orders_type)