Embedded the matplotlib graphs into pygtk in the System-Monitor software. Earlier, it was only running on the default matplotlib window.
I shared a screenshot :
Finally managed my first git push. Phew!!! Although the work is not complete but still I am happy that I could present atleast something out of nothing and with not-so-much knowledge about python.
So what i did for my first open source project is that I made an application, a System-Monitor that would monitor the CPU, RAM and DISK usage and plot dynamic graphs accordingly.
Of course I used dependencies. I used psutil to extract the data, matplotlib to plot the dynamic graphs and gtk to create my own window (Currently the gtk feature is not available. I am using matplotlib window until I learn to use gtk).
So, as Kushal Das, my mentor, instructed me to create a file data.py to extract the info, I did so using psutil.
Next, there is the main.py which plots the graphs using matplotlib and displays them in a matplotlib window.
The work is not complete yet. I still need to write setup.py to make a command to run the program directly from the terminal. Will update when things are done.
This is the link to the git repository: https://github.com/desouradeep/System-Monitor
I have also included some screenshots, hope you like them. 😀
I would also like to thank Sayan Chowdhury for helping me out. 🙂
THE CODE :
import psutil def cpu(): '''This method returns the current CPU usage''' a=psutil.cpu_percent(interval =0.1, percpu=False) return "%4.2f" %a def mem(): '''This method returns the current RAM usage''' a=psutil.phymem_usage().percent return "%2.2f" %a def dsk(): '''This method returns the current DISK usage''' a=psutil.disk_partitions() b= x=0 y=0 for i in range (0,len(a)): b.append(a[i]) x+=psutil.disk_usage(b[i]) y+=psutil.disk_usage(b[i]) z=float(y)/float(x)*100 return "%2.2f" %z
#!/usr/bin/env python import matplotlib.pyplot as plt import matplotlib import data c= m= d= def main(): print 'NO. CPU MEMORY DISK' plt.subplot(211) i=0 while True: i+=1 plt.ylim(0,100) plt.xlim(0,60) cc=data.cpu() mm=data.mem() dd=data.dsk() print i,'\t',cc,'\t',mm,'\t',dd c.append(cc) m.append(mm) d.append(dd) plt.grid(True) plt.xlabel('TIME') plt.ylabel('USAGE IN %') plt.title(' - - SYSTEM MONITOR - - ') ds='DISK ('+dd+'%)' ms='RAM ('+mm+'%)' cs='CPU ('+cc+'%)' plt.plot(d[-60:-1],'g', label=ds) plt.plot(m[-60:-1],'r', label=ms) plt.plot(c[-60:-1],'b', label=cs) plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.06,0,0.04), ncol=3) if len(c)>60: del c del m del d plt.draw() matplotlib.interactive(True) plt.show() plt.clf() main()
Here are some of the screenshots: