import PySimpleGUI as sg
import numpy as np
    Embedding the Matplotlib toolbar into your application
# ------------------------------- This is to include a matplotlib figure in a Tkinter canvas
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
def draw_figure_w_toolbar(canvas, fig, canvas_toolbar):
    if canvas.children:
        for child in canvas.winfo_children():
            child.destroy()
    if canvas_toolbar.children:
        for child in canvas_toolbar.winfo_children():
            child.destroy()
    figure_canvas_agg = FigureCanvasTkAgg(fig, master=canvas)
    figure_canvas_agg.draw()
    toolbar = Toolbar(figure_canvas_agg, canvas_toolbar)
   # toolbar.toggle() 
   # toggle_tooloff(toolbar._actions[str(fig.canvas.toolbar.mode)])
    toolbar.update()
    figure_canvas_agg.get_tk_widget().pack(side='right', fill='both', expand=1)
class Toolbar(NavigationToolbar2Tk):
    def __init__(self, *args, **kwargs):
        super(Toolbar, self).__init__(*args, **kwargs)
# ------------------------------- PySimpleGUI CODE
layout = [
    [sg.T('Graph: y=sin(x)')],
    [sg.B('Plot'), sg.B('Exit')],
    [sg.T('Controls:')],
    [sg.Canvas(key='controls_cv')],
    [sg.T('Figure:')],
    [sg.Column(
        layout=[
            [sg.Canvas(key='fig_cv',
                       # it's important that you set this size
                       size=(400 * 2, 400)
        background_color='#DAE0E6',
        pad=(0, 0)
    [sg.B('Alive?')]
window = sg.Window('Graph with controls', layout)
while True:
    event, values = window.read()
    print(event, values)
    if event in (sg.WIN_CLOSED, 'Exit'):  # always,  always give a way out!
        break
    elif event is 'Plot':
        # ------------------------------- PASTE YOUR MATPLOTLIB CODE HERE
        plt.figure(1)
        fig = plt.gcf()
        DPI = fig.get_dpi()
        # ------------------------------- you have to play with this size to reduce the movement error when the mouse hovers over the figure, it's close to canvas size
        fig.set_size_inches(404 * 2 / float(DPI), 404 / float(DPI))
        # -------------------------------
        x = np.linspace(0, 2 * np.pi)
        y = np.sin(x)
        plt.plot(x, y)
        plt.title('y=sin(x)')
        plt.xlabel('X')
        plt.ylabel('Y')
        plt.grid()
        # ------------------------------- Instead of plt.show()
        draw_figure_w_toolbar(window['fig_cv'].TKCanvas, fig, window['controls_cv'].TKCanvas)
window.close()
@jason990420 or @PySimpleGUI i have done some research and found that there is a possible way to toggle the selection with toggle_tooloff() but seems its not available or iam not sure why its throwing me an error
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import NavigationToolbar2Tk
fig, ax = plt.subplots()
canvas = fig.canvas
# Create a NavigationToolbar2Tk instance
toolbar = NavigationToolbar2Tk(canvas, root)
# Add the toolbar to the Tkinter window
toolbar.pack(side="top", fill="both")
# Toggle the toolbar off
toolbar.toolmanager.toggle_tooloff(toolbar._actions['pan'])
# Update the toolbar
toolbar.update()
using NavigationToolbar2
import matplotlib.pyplot as plt
from matplotlib.backend_bases import NavigationToolbar2
fig, ax = plt.subplots()
# Get the toolbar instance from the figure canvas
toolbar = NavigationToolbar2(fig.canvas)
# Toggle off the currently selected tool in the toolbar
toolbar.toggle()
# Update the canvas to reflect the toolbar changes
fig.canvas.draw_idle()
          
I don't like to destroy old canvas before redraw new figure again and again.

Following demo the way I create the canvas for figure and toolbar just once.
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import PySimpleGUI as sg
layout = [
    [sg.T('Graph: y=sin(x)')],
    [sg.B('Plot'), sg.B('Exit')],
    [sg.T('Controls:')],
    [sg.Canvas(key='controls_cv')],
    [sg.T('Figure:')],
    [sg.Column(layout=[[sg.Canvas(key='fig_cv', size=(400 * 2, 400))]], background_color='#DAE0E6', pad=(0, 0))],
    [sg.B('Alive?')]
window = sg.Window('Graph with controls', layout, finalize=True)
# Initialization for the matplotlib figure
plt.figure(1)
fig = plt.gcf()
DPI = fig.get_dpi()
fig.set_size_inches(404 * 2 / float(DPI), 404 / float(DPI))
canvas = window['fig_cv'].TKCanvas
figure_canvas_agg = FigureCanvasTkAgg(fig, master=canvas)
figure_canvas_agg.get_tk_widget().pack(side='right', fill='both', expand=1)
canvas_toolbar = window['controls_cv'].TKCanvas
toolbar = NavigationToolbar2Tk(figure_canvas_agg, canvas_toolbar)
while True:
    event, values = window.read()
    if event in (sg.WIN_CLOSED, 'Exit'):
        break
    elif event == 'Plot':
        plt.clf()
        x = np.linspace(0, 2 * np.pi)
        y = np.sin(x)
        plt.plot(x, y)
        plt.title('y=sin(x)')
        plt.xlabel('X')
        plt.ylabel('Y')
        plt.grid()
        figure_canvas_agg.draw()
        toolbar.update()
window.close()
          
Thats a nice approach which I tried prior but I am not sure why my plots are not being plotted it should be a silly mistake i could have made but i couldn't figure (where i am going wrong. maybe its because I have my subplots growing based on the selected checkbox where i delete all the axes and replot it)

i am getting an error when i try to do toolbar.update()
 self.tk.call(_flatten((self._w, cmd)) + self._options(cnf))
_tkinter.TclError: invalid command name ".!toplevel.!frame2.!labelframe.!frame.!canvas.!navigationtoolbar2tk.!button2"
and when I try to display my plot  using "figure_canvas_agg.draw()" nothing happens

If you don't mind i can add you as a collaborator to my repo can you help me fix this issue

as i can't share the code here nor I couldn't even create any minimal code replica as i could not figure where the issue is

your help is much appreciated
          
@jason990420 inviting to collaborate on my repo, Note my account is not a organization/Enterprise account there by you should have all access to my repo.

I know this is not a best practice but your contribution to this community is very extensive which made me feel ok on my decision

Thereby requesting to accept my collaboration invite and you will have the refactored code in https://github.com/Darksoulz15/auto_plot_Pavan/tree/GraphUpdateBug

Its very important for me that these data or codes should be very private

FYI: @Techmaniac154 belongs to me

thank you