python教程分享基于Python实现实时监控CPU使用率

import matplotlib.pyplot as plt  import matplotlib.font_manager as font_manager  import psutil as p      points = 300  fig, ax = plt.subplots()  ax.set_ylim([0, 100])  ax.set_xlim([0, points])  ax.set_autoscale_on(false)  ax.set_xticks([])  ax.set_yticks(range(0, 101, 10))  ax.grid(true)  # 执行用户进程的时间百分比  user = [none] * point  # 执行内核进程和中断的时间百分比  sys = [none] * point  # cpu处于空闲状态的时间百分比  idle = [none] * point  l_user, = ax.plot(range(points), user, label='user %')  l_sys, = ax.plot(range(points), sys, label='sys %')  l_idle, = ax.plot(range(points), idle, label='idle %')  ax.legend(loc='upper center', ncol=4, prop=font_manager.fontproperties(size=10))  bg = fig.canvas.copy_from_bbox(ax.bbox)      def cpu_usage():  	t = p.cpu_times()  	return [t.user, t.system, t.idle]      before = cpu_usage()      def get_cpu_usage():  	global before  	now = cpu_usage()  	delta = [now[i] - before[i] for i in range(len(now))]  	total = sum(delta)  	before = now  	return [(100.0*dt)/(total+0.1) for dt in delta]      def ontimer(ax):  	global user, sys, idle, bg  	tmp = get_cpu_usage()  	user = user[1:] + [tmp[0]]  	sys = sys[1:] + [tmp[1]]  	idle = idle[1:] + [tmp[2]]  	l_user.set_ydata(user)  	l_sys.set_ydata(sys)  	l_idle.set_ydata(idle)  	while true:  		try:  			ax.draw_artist(l_user)  			ax.draw_artist(l_sys)  			ax.draw_artist(l_idle)  			break  		except:  			pass  	ax.figure.canvas.draw()      def start_monitor():  	timer = fig.canvas.new_timer(interval=100)  	timer.add_callback(ontimer, ax)  	timer.start()  	plt.show()      if __name__ == '__main__':  	start_monitor()