Python gets a single program CPU usage trend Graph _python

This article positioning: The CPU history data has been saved, waiting for visualization analysis, can not be thought of for a moment.
This article is a follow-up to the previous article (http://www.jb51.net/article/61956.htm), which mentions how to save the results of the top command in Python under Linux.

In Python, we can easily visualize data using matplotlib, such as the following code:

Copy Code code as follows:

Import Matplotlib.pyplot as Plt

List1 = [1,2,3]
List2 = [4,5,9]
Plt.plot (LIST1,LIST2)
Plt.show ()

The execution effect is as follows:

Above just give the plot function to pass two list data structure, show the graph to come out ... Haha, very convenient!
Get the CPU Trend chart with this!
But the data we're getting is not that friendly, like I have a file (file.txt) that reads:

Copy Code code as follows:

Cpu (s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 7.7%us, 7.7%sy, 0.0%ni, 76.9%id, 0.0%wa, 0.0%hi, 7.7%si, 0.0%st
Cpu (s): 0.0%us, 9.1%sy, 0.0%ni, 90.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 9.1%us, 0.0%sy, 0.0%ni, 90.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 8.3%us, 8.3%sy, 0.0%ni, 83.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 0.0%us, 9.1%sy, 0.0%ni, 90.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Cpu (s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st

Where, the first column is the time, and the idle value of the CPU is listed.

To get the CPU usage trend graph from this set of data, we need to do some work.

Here is the code, here to provide a train of thought, need a friend cuff back to change it:

Copy Code code as follows:

#coding: Utf-8
'''
File:cpuUsage.py
Author:mike
E-mail:mike_zhang@live.com
'''
Import Matplotlib.pyplot as Plt
Import string

def getcpuinfdata (fileName):
ret = {}
f = open (FileName, "R")
LineList = F.readlines ()
For line in LineList:
TMP = Line.split ()
SZ = LEN (TMP)
T_key = String.atoi (tmp[0]) # get key
T_value = 100.001-string.atof (Line.split (': ') [1].split (', ') [3].split ('% ') [0]) # Get value
Print T_key,t_value
If not Ret.has_key (T_key):
Ret[t_key] = []
Ret[t_key].append (T_value)
F.close ()
return ret

RetMap1 = Getcpuinfdata ("file.txt")
# Generate CPU Usage Trend Chart
List1 = Retmap1.keys ()
List1.sort ()
List2 = []
For I in List1:list2.append (Retmap1[i])
Plt.plot (LIST1,LIST2)
Plt.show ()

Well, that's all, I hope to help you.