def process(name):
data = Workload.aggregate(Workload.locate(name), 'dynamic_power')
component_count, step_count = data.shape
time = constant.TIME_STEP * np.arange(0, step_count)
pp.figure(figsize=(14, 2 * component_count), facecolor='w', edgecolor='k')
for i in range(component_count):
pp.subplot(component_count, 1, i + 1)
pp.plot(time, data[i, :])
pp.xlim([time[0], time[-1]])
pp.ylabel('Power (W)')
if i == 0:
pp.title(name)
pp.xlabel('Time (s)')
def main(names, component_id=1):
count = len(names)
pp.figure(figsize=(14, 2 * count), facecolor='w', edgecolor='k')
for i in range(count):
data = Workload.aggregate(Workload.locate(names[i]), 'dynamic_power')
step_count = data.shape[1]
time = constant.TIME_STEP * np.arange(step_count)
pp.subplot(count, 1, i + 1)
pp.plot(time, data[component_id, :])
pp.xlim([time[0], time[-1]])
pp.xlabel('Time (s)')
pp.ylabel('Power (W)')
pp.show()