Animation with Python matplotlib (Vehicle dynamics simulation route)

Constant steer simulation route

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.animation as animation
plt.rcParams['figure.figsize']=(8.0, 8.0)
plt.rcParams['xtick.direction'] = 'in'   # xtick in
plt.rcParams['ytick.direction'] = 'in'   # ytick in
plt.rcParams['figure.dpi'] = 800         # resolution of figure

io = 'Constant.xlsx'
data = pd.read_excel(io=io,sheet_name=0,usecols=[0,1,2,3,4,5,6,7,8,9,10,11])

fig, ax = plt.subplots()  # define figure
# plt.grid(ls='--')       # define grid in figure
ax.scatter(-300, 0, color='k', linewidth= 3)

x1 = data.iloc[:,0]
x2 = data.iloc[:,2]
x3 = data.iloc[:,4]
x4 = data.iloc[:,6]
x5 = data.iloc[:,8]
x6 = data.iloc[:,10]

y1 = data.iloc[:,1]
y2 = data.iloc[:,3]
y3 = data.iloc[:,5]
y4 = data.iloc[:,7]
y5 = data.iloc[:,9]
y6 = data.iloc[:,11]

time_template = 'time = %.1fs'  # make a timer
time_text = plt.text(-70, 280, '',fontsize = 25)

xdata1, ydata1 = [], []
xdata2, ydata2 = [], []
xdata3, ydata3 = [], []
xdata4, ydata4 = [], []
xdata5, ydata5 = [], []
xdata6, ydata6 = [], []

ln1, = plt.plot([], [], 'blue', animated = False, label='40km/h-State-steady', linewidth= 2)
ln2, = plt.plot([], [], 'orange', animated = False, label='40km/h-Transient', linewidth= 2)
ln3, = plt.plot([], [], 'green', animated = False, label='60km/h-State-steady', linewidth= 2)
ln4, = plt.plot([], [], 'red', animated = False, label='60km/h-Transient', linewidth= 2)
ln5, = plt.plot([], [], 'purple', animated = False, label='80km/h-State-steady', linewidth= 2)
ln6, = plt.plot([], [], 'gray', animated = False, label='80km/h-Transient', linewidth= 2)

def init():   # define the limitation of the figure
    ax.set_xlim(-650, 10)
    ax.set_ylim(-350, 300)

    return ln1, ln2, ln3, ln4, ln5, ln6,

def animate(i):   # update data will used in the plot
    xdata1.append(x1[i]) # append new data to last one (because this plot is circular, both X and Y need to be updated)
    ydata1.append(y1[i])
    xdata2.append(x2[i])
    ydata2.append(y2[i])
    xdata3.append(x3[i])
    ydata3.append(y3[i])
    xdata4.append(x4[i])
    ydata4.append(y4[i])
    xdata5.append(x5[i])
    ydata5.append(y5[i])
    xdata6.append(x6[i])
    ydata6.append(y6[i])
    ln1.set_data(xdata1, ydata1)  # update the data.
    ln2.set_data(xdata2, ydata2)  # update the data.
    ln3.set_data(xdata3, ydata3)  # update the data.
    ln4.set_data(xdata4, ydata4)  # update the data.
    ln5.set_data(xdata5, ydata5)  # update the data.
    ln6.set_data(xdata6, ydata6)  # update the data.
    time_text.set_text(time_template % (0.1 * i))  # time counter

    fig.canvas.draw()
    return ln1, ln2, ln3, ln4, ln5, ln6,

plt.axis('off')  # turn off the axis

ax.legend(frameon=False, loc="lower left") # define the label position
# animation define
ani = animation.FuncAnimation(fig=fig, func=animate, frames=1000, init_func=init, interval=5,blit=True)

ani.save('constant.gif', writer='ffmpeg', fps=60)
# To save the animation, use e.g.
plt.show()
# ani.save("movie.gif")
# or

# writer = animation.FFMpegWriter(
#     fps=15, metadata=dict(artist='Me'), bitrate=1800)
# ani.save("movie.mp4", writer=writer)