-
-
Save elgalu/532c86cad6dcffa7e0ab0f1d6be3d040 to your computer and use it in GitHub Desktop.
This is a script which draws the amount of CPU used and memory usage of a process to a 3D graph. Python 3
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #coding:utf-8 | |
| import psutil | |
| from mpl_toolkits.mplot3d import Axes3D | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import matplotlib.animation as animation | |
| TIME_NUM = 90 | |
| FRAMES = 360 | |
| class processMoniter: | |
| def __init__(self, pids): | |
| self.cpu_nums = psutil.cpu_count() | |
| self.max_mem = psutil.virtual_memory().total | |
| self.plist = [psutil.Process(pid) for pid in pids] | |
| self.get_system_info() | |
| self.get_processes_info() | |
| def get_system_info(self): | |
| cpu_percent = psutil.cpu_percent(interval=0.0, percpu=False) | |
| mem_percent = float(psutil.virtual_memory().used) / self.max_mem * 100 | |
| return cpu_percent, mem_percent | |
| def get_process_info(self, p): | |
| if p.is_running: | |
| cpu_percent = p.cpu_percent(interval=0.0) / self.cpu_nums | |
| mem_percent = p.memory_percent() | |
| else: | |
| cpu_percent = 0.0 | |
| mem_percent = 0.0 | |
| return cpu_percent, mem_percent | |
| def get_processes_info(self): | |
| infodic = {} | |
| for p in self.plist: | |
| infodic[(p.pid, p.name)] = self.get_process_info(p) | |
| return infodic | |
| class processUsage: | |
| def __init__ (self, maxnum): | |
| self.maxnum = maxnum | |
| self.cpu_usage = [] | |
| self.mem_usage = [] | |
| self.times = [] | |
| def update(self, num, cpu, mem): | |
| self.cpu_usage.append(cpu) | |
| self.mem_usage.append(mem) | |
| if len(self.cpu_usage) > self.maxnum: | |
| self.cpu_usage = self.cpu_usage[1:] | |
| self.mem_usage = self.mem_usage[1:] | |
| else: | |
| self.times.append(num) | |
| class processGraph: | |
| def __init__(self, pids): | |
| self.taskmgr = processMoniter(pids) | |
| def __setdata(self, usage, line): | |
| line.set_xdata(usage.mem_usage) | |
| line.set_ydata(usage.times) | |
| line.set_3d_properties(usage.cpu_usage) | |
| def update_lines(self, num, sysline, sysUsage, plines, pUsages, ax) : | |
| # System | |
| sCpu, sMem = self.taskmgr.get_system_info() | |
| sysUsage.update(num, sCpu, sMem) | |
| self.__setdata(sysUsage, sysline) | |
| # Processes | |
| pInfos = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in pInfos.items(): | |
| pUsage = pUsages[pid] | |
| pUsage.update(num, cpu, mem) | |
| pLine = plines[pid] | |
| self.__setdata(pUsage, pLine) | |
| ax.set_xlim3d(0, 100) | |
| ax.set_ylim3d(0, TIME_NUM) | |
| ax.set_zlim3d(0, 100) | |
| ax.view_init(30, 1 * num) | |
| return sysline | |
| def show(self): | |
| fig = plt.figure() | |
| # init axis | |
| ax = fig.gca(projection='3d') | |
| ax.view_init(30, 0) | |
| ax.set_xlabel('Memory Usage (%)') | |
| ax.set_ylabel('Time') | |
| ax.set_zlabel('CPU Usage (%)') | |
| # System | |
| sysUsage = processUsage(TIME_NUM) | |
| sysline, = ax.plot(sysUsage.mem_usage, sysUsage.times, | |
| zs=np.array(sysUsage.cpu_usage), zdir='z', label='zs=0, zdir=z') | |
| sysline.set_label('System') | |
| # Processes | |
| pUsages = {} | |
| pLines = {} | |
| info_dic = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in info_dic.items(): | |
| pUsage = processUsage(TIME_NUM) | |
| pline, = ax.plot(pUsage.mem_usage, pUsage.times, zs=np.array(pUsage.cpu_usage), | |
| zdir='z', label='zs=0, zdir=z') | |
| pline.set_label('{0}({1})'.format(name, pid)) | |
| pLines[pid] = pline | |
| pUsages[pid] = pUsage | |
| ax.legend() | |
| # Creating the Animation object | |
| line_ani = animation.FuncAnimation(fig, self.update_lines, FRAMES, | |
| fargs=(sysline, sysUsage, pLines, pUsages, ax), | |
| interval=100, blit=False) | |
| plt.show() | |
| #line_ani.save('im.mp4') | |
| # usage | |
| pid1 = 1 | |
| pid2 = 13 | |
| graph = processGraph([pid1, pid2]) | |
| graph.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import psutil | |
| from mpl_toolkits.mplot3d import Axes3D | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import matplotlib.animation as animation | |
| TIME_NUM = 90 | |
| FRAMES = 360 | |
| class processMoniter: | |
| def __init__(self, pids): | |
| self.cpu_nums = psutil.cpu_count() | |
| self.max_mem = psutil.virtual_memory().total | |
| self.plist = [psutil.Process(pid) for pid in pids] | |
| self.get_system_info() | |
| self.get_processes_info() | |
| def get_system_info(self): | |
| cpu_percent = psutil.cpu_percent(interval=0.0, percpu=False) | |
| mem_percent = float(psutil.virtual_memory().used) / self.max_mem * 100 | |
| return cpu_percent, mem_percent | |
| def get_process_info(self, p): | |
| if p.is_running: | |
| cpu_percent = p.cpu_percent(interval=0.0) / self.cpu_nums | |
| mem_percent = p.memory_percent() | |
| else: | |
| cpu_percent = 0.0 | |
| mem_percent = 0.0 | |
| return cpu_percent, mem_percent | |
| def get_processes_info(self): | |
| infodic = {} | |
| for p in self.plist: | |
| infodic[(p.pid, p.name)] = self.get_process_info(p) | |
| return infodic | |
| class processUsage: | |
| def __init__(self, maxnum): | |
| self.maxnum = maxnum | |
| self.cpu_usage = [] | |
| self.mem_usage = [] | |
| self.times = [] | |
| def update(self, num, cpu, mem): | |
| self.cpu_usage.append(cpu) | |
| self.mem_usage.append(mem) | |
| if len(self.cpu_usage) > self.maxnum: | |
| self.cpu_usage = self.cpu_usage[1:] | |
| self.mem_usage = self.mem_usage[1:] | |
| else: | |
| self.times.append(num) | |
| class processGraph: | |
| def __init__(self, pids): | |
| self.taskmgr = processMoniter(pids) | |
| def __setdata(self, usage, line): | |
| line.set_xdata(usage.mem_usage) | |
| line.set_ydata(usage.times) | |
| line.set_3d_properties(usage.cpu_usage) | |
| def update_lines(self, num, sysline, sysUsage, plines, pUsages, ax): | |
| # System | |
| sCpu, sMem = self.taskmgr.get_system_info() | |
| sysUsage.update(num, sCpu, sMem) | |
| self.__setdata(sysUsage, sysline) | |
| # Processes | |
| pInfos = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in pInfos.iteritems(): | |
| pUsage = pUsages[pid] | |
| pUsage.update(num, cpu, mem) | |
| pLine = plines[pid] | |
| self.__setdata(pUsage, pLine) | |
| ax.set_xlim3d(0, 100) | |
| ax.set_ylim3d(0, TIME_NUM) | |
| ax.set_zlim3d(0, 100) | |
| ax.view_init(30, 1 * num) | |
| return sysline | |
| def show(self): | |
| fig = plt.figure() | |
| # init axis | |
| ax = fig.gca(projection='3d') | |
| ax.view_init(30, 0) | |
| ax.set_xlabel('Memory Usage (%)') | |
| ax.set_ylabel('Time') | |
| ax.set_zlabel('CPU Usage (%)') | |
| # System | |
| sysUsage = processUsage(TIME_NUM) | |
| sysline, = ax.plot(sysUsage.mem_usage, sysUsage.times, | |
| zs=np.array(sysUsage.cpu_usage), zdir='z', label='zs=0, zdir=z') | |
| sysline.set_label('System') | |
| # Processes | |
| pUsages = {} | |
| pLines = {} | |
| info_dic = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in info_dic.iteritems(): | |
| pUsage = processUsage(TIME_NUM) | |
| pline, = ax.plot(pUsage.mem_usage, pUsage.times, zs=np.array(pUsage.cpu_usage), | |
| zdir='z', label='zs=0, zdir=z') | |
| pline.set_label('{0}({1})'.format(name, pid)) | |
| pLines[pid] = pline | |
| pUsages[pid] = pUsage | |
| ax.legend() | |
| # Creating the Animation object | |
| line_ani = animation.FuncAnimation(fig, self.update_lines, FRAMES, | |
| fargs=(sysline, sysUsage, pLines, pUsages, ax), | |
| interval=100, blit=False) | |
| plt.show() | |
| if __name__ == '__main__': | |
| pid1 = 6876 | |
| pid2 = 6804 | |
| graph = processGraph([pid1, pid2]) | |
| graph.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #coding:utf-8 | |
| import psutil | |
| from mpl_toolkits.mplot3d import Axes3D | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import matplotlib.animation as animation | |
| TIME_NUM = 90 | |
| FRAMES = 360 | |
| class processMoniter: | |
| def __init__(self, pids): | |
| self.cpu_nums = psutil.cpu_count() | |
| self.max_mem = psutil.virtual_memory().total | |
| self.plist = [psutil.Process(pid) for pid in pids] | |
| self.get_system_info() | |
| self.get_processes_info() | |
| def get_system_info(self): | |
| cpu_percent = psutil.cpu_percent(interval=0.0, percpu=False) | |
| mem_percent = float(psutil.virtual_memory().used) / self.max_mem * 100 | |
| return cpu_percent, mem_percent | |
| def get_process_info(self, p): | |
| if p.is_running: | |
| cpu_percent = p.cpu_percent(interval=0.0) / self.cpu_nums | |
| mem_percent = p.memory_percent() | |
| else: | |
| cpu_percent = 0.0 | |
| mem_percent = 0.0 | |
| return cpu_percent, mem_percent | |
| def get_processes_info(self): | |
| infodic = {} | |
| for p in self.plist: | |
| infodic[(p.pid, p.name)] = self.get_process_info(p) | |
| return infodic | |
| class processUsage: | |
| def __init__ (self, maxnum): | |
| self.maxnum = maxnum | |
| self.cpu_usage = [] | |
| self.mem_usage = [] | |
| self.times = [] | |
| def update(self, num, cpu, mem): | |
| self.cpu_usage.append(cpu) | |
| self.mem_usage.append(mem) | |
| if len(self.cpu_usage) > self.maxnum: | |
| self.cpu_usage = self.cpu_usage[1:] | |
| self.mem_usage = self.mem_usage[1:] | |
| else: | |
| self.times.append(num) | |
| class processGraph: | |
| def __init__(self, pids): | |
| self.taskmgr = processMoniter(pids) | |
| def __setdata(self, usage, line): | |
| line.set_xdata(usage.mem_usage) | |
| line.set_ydata(usage.times) | |
| line.set_3d_properties(usage.cpu_usage) | |
| def update_lines(self, num, sysline, sysUsage, plines, pUsages, ax) : | |
| # System | |
| sCpu, sMem = self.taskmgr.get_system_info() | |
| sysUsage.update(num, sCpu, sMem) | |
| self.__setdata(sysUsage, sysline) | |
| # Processes | |
| pInfos = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in pInfos.items(): | |
| pUsage = pUsages[pid] | |
| pUsage.update(num, cpu, mem) | |
| pLine = plines[pid] | |
| self.__setdata(pUsage, pLine) | |
| ax.set_xlim3d(0, 100) | |
| ax.set_ylim3d(0, TIME_NUM) | |
| ax.set_zlim3d(0, 100) | |
| ax.view_init(30, 1 * num) | |
| return sysline | |
| def show(self): | |
| fig = plt.figure() | |
| # init axis | |
| ax = fig.gca(projection='3d') | |
| ax.view_init(30, 0) | |
| ax.set_xlabel('Memory Usage (%)') | |
| ax.set_ylabel('Time') | |
| ax.set_zlabel('CPU Usage (%)') | |
| # System | |
| sysUsage = processUsage(TIME_NUM) | |
| sysline, = ax.plot(sysUsage.mem_usage, sysUsage.times, | |
| zs=np.array(sysUsage.cpu_usage), zdir='z', label='zs=0, zdir=z') | |
| sysline.set_label('System') | |
| # Processes | |
| pUsages = {} | |
| pLines = {} | |
| info_dic = self.taskmgr.get_processes_info() | |
| for (pid, name), (cpu, mem) in info_dic.items(): | |
| pUsage = processUsage(TIME_NUM) | |
| pline, = ax.plot(pUsage.mem_usage, pUsage.times, zs=np.array(pUsage.cpu_usage), | |
| zdir='z', label='zs=0, zdir=z') | |
| pline.set_label('{0}({1})'.format(name, pid)) | |
| pLines[pid] = pline | |
| pUsages[pid] = pUsage | |
| ax.legend() | |
| # Creating the Animation object | |
| line_ani = animation.FuncAnimation(fig, self.update_lines, FRAMES, | |
| fargs=(sysline, sysUsage, pLines, pUsages, ax), | |
| interval=100, blit=False) | |
| plt.show() | |
| #line_ani.save('im.mp4') | |
| # usage | |
| pid1 = 1 | |
| pid2 = psutil.Process(os.getpid()).pid | |
| graph = processGraph([pid2]) | |
| graph.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment