bobbycar/logdata_visualization/analyze.py

import matplotlib.pyplot as plt
import csv

x=[]
speed_FrontL=[]
speed_FrontR=[]
speed_RearL=[]
speed_RearR=[]

fp = open('LOG00203c_replacedFrontLeftWheel.TXT')

rdr = csv.DictReader(filter(lambda row: row[0]!='#', fp))
for row in rdr:
    #print(row)
    x.append(float(row['cmd_FrontL']))

    speed_FrontL.append(float(row['speed_FrontL']))
    speed_FrontR.append(float(row['speed_FrontR']))
    speed_RearL.append(float(row['speed_RearL']))
    speed_RearR.append(float(row['speed_RearR']))
fp.close()


#plt.plot(x,y, label='Loaded from file!')
scattersize=5
scatteralpha=0.1
plt.scatter(x,speed_FrontL, s=scattersize, alpha=scatteralpha, label="speed_FrontL")
plt.scatter(x,speed_FrontR, s=scattersize, alpha=scatteralpha, label="speed_FrontR")
plt.scatter(x,speed_RearL, s=scattersize, alpha=scatteralpha, label="speed_RearL")
plt.scatter(x,speed_RearR, s=scattersize, alpha=scatteralpha, label="speed_RearR")
plt.xlabel('cmd')
plt.ylabel('speed')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()


'''
with open(,'r') as csvfile:
    plots = csv.reader(filter(lambda row: row[0]!='#', csvfile), delimiter=',')
    for row in plots:
        x.append(float(row[0]))
        y.append(float(row[1]))

plt.plot(x,y, label='Loaded from file!')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()
'''