Making a Matplotlib in Tkinter using a slider

[Jemeronimo]

Hello,

I'm trying to get 2 plots that react on a Slider using Tkinter. Mostly I want it to be a function of:

y=(Slider Value) * sin(x)

And on the right another function

y= x * sin(Slider Value)

Below is what I have so far, sorry if it is not neatly programmed. If I slide my Slider I would like it to overwrite the
previous graph.

Hopefully someone can help me!

import numpy as np
import math as math
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

matplotlib.use('TkAgg')

root = Tk.Tk()
root.wm_title("Embedding in TK")
fig = plt.Figure()
canvas = FigureCanvasTkAgg(fig, root)
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
fig.subplots_adjust(bottom=0.25)


def create_values():
    return x_values, y_values


x_values = np.arange(-20,20,0.1)
y_values=[]

for i in range(0, len(x_values)):
    y_values.append(math.sin(x_values[i]))

ax1.axis([(-math.pi-1), (math.pi+1), -10, 10])
ax1.plot(x_values, y_values)

ax1_value = fig.add_axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax1_value, 'Value', 0, 30, valinit=0)


def update(val):

    pos = s_time.val
    ax1.plot(x_values+pos,y_values)
    fig.canvas.draw_idle()


s_time.on_changed(update)

Tk.mainloop()

[Gribouillis]

You can try something like this

(l,) = ax1.plot(x_values, y_values)
(r,) = ax2.plot(x_values, y_values)

def update(val):
 
    pos = s_time.val
    l.set_ydata(pos * np.sin(l.get_xdata()))
    x = r.get_xdata()
    r.set_ydata(x * np.sin(pos * x))
    fig.canvas.draw_idle()