testing_plots.py

#%%
import pickle  
import numpy as np
import matplotlib.pyplot as plt  

server_log_filename = 'C:\workspace\shared_vm\server_pid_log_0.pkl'


with open(server_log_filename, 'rb') as f: 
    log = pickle.load(f)
    
throttle_t    = []
throttle_data = []
brake_t    = []
brake_data = []
for sample in log:
    if 'throttle' in sample[2].keys():
        throttle_t.append( sample[0] ) 
        throttle_data.append( sample[2]['throttle'] ) 
    if 'brake' in sample[2].keys():
        brake_t.append( sample[0] ) 
        brake_data.append( sample[2]['brake'] ) 

throttle_t    = np.array( throttle_t, np.float32 )   
throttle_data = np.array( throttle_data, np.float32 )   
brake_t    = np.array( brake_t, np.float32 )   
brake_data = np.array( brake_data, np.float32 )        

#%%


plt.figure#(1, figsize = (16,12))
#plt.subplot(311)
plt.plot(throttle_t, throttle_data, 'x', brake_t, brake_data)
plt.ylabel('throttle')
plt.yticks(np.arange(np.min(throttle_data), np.max(throttle_data), 0.1))      

#plt.subplot(312)
#plt.plot(timestamp, unfilt_pid_output)
#plt.ylabel('unfilt_pid_output')
#
#plt.subplot(313)
#plt.plot(timestamp, delta_time)
#plt.ylabel('delta_time')
#plt.show()

plt.figure(2)
plt.plot(throttle_t[1:], 1000.*(throttle_t[1:] - throttle_t[:-1]))
plt.title('Time between throttle messages sent')
#plt.ylabel('ms')