matplotlib scatter plot for cmd vs speed

logdata_visualization/analyze.py

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+import matplotlib.pyplot as plt
+import csv
+
+x=[]
+speed_FrontL=[]
+speed_FrontR=[]
+speed_RearL=[]
+speed_RearR=[]
+
+fp = open('LOG00193_20210516_fixedSpeedLR_freewheelingTest.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()
+'''
+