Using Processing to display data graphs

[ScaleRobotics]

Wow Richard,

That's very impressive what Python can do with so few lines of code! The readings are received at a rate of 100 times per second, but yes, that is basically it. I am sure I can zoom in and out as well .... with only 50 more lines of code
I am also using processing to show the 3d orientation of the rocket during flight, as it records the flight data. But I have seen people do the 9dof orientation displays with Python as well.

Yes, I am anxious to see get some real flight data too. I am curious how the 9dof will report 3d orientation while in flight, and how well the filtering of the altimeter will work in flight conditions.

Walter

[richard]

with a click of the finger the x axis can be made a datetime object and will auto scale from years through months ,days ,hours, minutes ,seconds to microseconds

import csv, sys
import matplotlib.pyplot as plt
import datetime
filename = 'test0.csv'
t=[]   #time
a=[]   #altitude
n=0
date=datetime.datetime.now()
with open(filename, 'rb') as f:
    reader = csv.reader(f)
    for row in reader:
            #print row
            n +=1
            tn=date+datetime.timedelta(seconds=n/100.0)
            a.append(float(row[4]))
            t.append(tn)
plt.title('Canadaroad')
plt.ylabel('Altitude Feet')           
plt.gcf().autofmt_xdate(bottom=0.2, rotation=30, ha='right')            
plt.plot_date(t,a,'b-',label='Altitude')
plt.legend(loc=0,numpoints=1) 
plt.figure(num=1,figsize=(14,10),dpi=80)           
plt.show()
#print a

i'm yet to tackle 3d objects in python but I think it should not be too difficult