Animation of linear and polar subplots with matplotlib: not synchronous plots

I'd like to plot in the same figure simulated data: in a subplot I want to show both the current new value and the previous ones linked with a line; in the other subplot, only the current value is represented on a polar plot. This value is generated as a random variable comprised between -180° and +180°. The figure and two subplots are updated by a timer tick event that animates them simulating an online stream acquisition. Here is the code I wrote:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.text as mTxt
from matplotlib.animation import FuncAnimation
import random as rnd


def timerTick_Event(i):
    global baseTime, yaw, index   
    
    index = index + 1
    
    f = plt.gcf()
    allAxes = f.get_axes()
    ax1 = allAxes[0]
    ax2 = allAxes[1]
    
    
    ax1.cla()
    ax1.plot(baseTime[index-9 : index],   yaw[index-9 : index], label='YAW', color='b')
    ax1.legend() 
    
    
    for child in ax2.get_children():
        if isinstance(child, mTxt.Annotation):
            child.remove()
    
    ax2.lines.pop(0) 
    
    plt.polar([0, yaw[index-1]], [0, 1], color='b')
    plt.annotate('', xytext=(0, 0), xy=(yaw[index-1], 1),
                  arrowprops=dict(facecolor='b', edgecolor='none',
                                  headlength=12, headwidth=10, shrink=1, width=0))
    

# DATA CREATION
baseTime = np.array([0])
yaw = np.array([0])
for sample in range(300):
    baseTime = np.append(baseTime, baseTime[-1] + 0.1)
    yaw   = np.append( yaw,   (180.0/np.pi) * rnd.uniform(-np.pi, np.pi) )


# %% FIGURE PREPARATION
index = 9
f1 = plt.figure(1)
ax1 = plt.subplot(121)
plt.plot(baseTime[0:index], yaw[0:index], label='YAW', color='b')
plt.legend(); plt.xlabel('TIME (s)'); plt.ylabel('EULER ANGLES (°)'); plt.ylim([-201, 201])

ax2 = plt.subplot(122, projection='polar')
plt.polar([0, yaw[index-1]], [0, 0])
ax2.set_rticks([])
ax2.set_rmin(0)
ax2.set_rmax(1)
ax2.set_thetalim(-np.pi, np.pi)
ax2.set_xticks(np.linspace(np.pi, -np.pi, 8, endpoint=False))
#ax2.set_xticklabels(['S', 'SE', 'E', 'NE', 'N', 'NW', 'W', 'SW'])
ax2.grid(False)
ax2.set_theta_direction(-1) # Theta increases in the clockwise direction
ax2.set_theta_zero_location("N")


# %% START THE ANIMATION
ani = FuncAnimation(f1, timerTick_Event, interval = 5000)

As you can see running the script, even if the new value is the same for the two subplots, they are not synchronous and represent different values. I would like to see at each timer tick, the same updated value for both the subplots.

source https://stackoverflow.com/questions/72650905/animation-of-linear-and-polar-subplots-with-matplotlib-not-synchronous-plots