http://www.cnblogs.com/vamei/archive/2013/01/30/2879700.html
代码如下:
首先用psutil 获得进程的CPU 使用率,然后再用matplotlib绘图。
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- import psutil
- import sys
- import re
- ll=[]
- def processinfo(pid):
- p=psutil.Process(pid)
- for i in range(10):
- #print(p.cpu_percent(interval=3))
- ll.append(p.cpu_percent(interval=1))
- return ll
- #print(processinfo(1051))
- import random
- from matplotlib.figure import Figure
- from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
- def plot_cpu_usage(y):
- x=list(range(3,31,3)) #x
- #I will manipulate Y if ll is empty
- if not y:
- y=[random.randint(1,5) for i in range(10)] #y
- fig = Figure()
- canvas = FigureCanvas(fig)
- ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
- line, = ax.plot(x,y)
- ax.set_title("cpu usage for PID 1051")
- ax.set_xlabel(" time in seconds ")
- ax.set_ylabel(" cpu usage in %")
- canvas.print_figure('demo.jpg')
- #processinfo(1051)
- plot_cpu_usage(ll)
另外我发现3.5的python 跟matplotlib 配合使用的时候,无法使用GTKAgg 作为backend.
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- #next 5 lines error out on Kali linux with python3.5, but works with python2.7
- import matplotlib as mpl
- mpl.use('GTKAgg') #use GTK UI
- mpl.use('GTKCairo')
- import matplotlib.pyplot as plt
- plt.plot([1,3,2,4])
- plt.show()
但是我可以正常的import Gtk
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- python3
- import gi
- gi.require_version('Gtk','3.0')
- from gi.repository import Gtk as gtk