diff --git a/Demo_Pyploy_Bar_Chart2.py b/Demo_Pyploy_Bar_Chart2.py
new file mode 100644
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+++ b/Demo_Pyploy_Bar_Chart2.py
@@ -0,0 +1,94 @@
+#!/usr/bin/env python
+import sys
+if sys.version_info[0] >= 3:
+    import PySimpleGUI as sg
+else:
+    import PySimpleGUI27 as sg
+
+import matplotlib
+matplotlib.use('TkAgg')
+from matplotlib.backends.backend_tkagg import FigureCanvasAgg
+import matplotlib.backends.tkagg as tkagg
+import tkinter as Tk
+
+"""
+Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
+
+Paste your Pyplot code into the section marked below.
+
+Do all of your plotting as you normally would, but do NOT call plt.show().
+Stop just short of calling plt.show() and let the GUI do the rest.
+
+The remainder of the program will convert your plot and display it in the GUI.
+If you want to change the GUI, make changes to the GUI portion marked below.
+
+"""
+
+#------------------------------- PASTE YOUR MATPLOTLIB CODE HERE -------------------------------
+import matplotlib.pyplot as plt
+import numpy as np
+label = ['Adventure', 'Action', 'Drama', 'Comedy', 'Thriller/Suspense', 'Horror', 'Romantic Comedy', 'Musical',
+         'Documentary', 'Black Comedy', 'Western', 'Concert/Performance', 'Multiple Genres', 'Reality']
+no_movies = [
+    941,
+    854,
+    4595,
+    2125,
+    942,
+    509,
+    548,
+    149,
+    1952,
+    161,
+    64,
+    61,
+    35,
+    5
+]
+
+index = np.arange(len(label))
+plt.bar(index, no_movies)
+plt.xlabel('Genre', fontsize=5)
+plt.ylabel('No of Movies', fontsize=5)
+plt.xticks(index, label, fontsize=5, rotation=30)
+plt.title('Market Share for Each Genre 1995-2017')
+
+#------------------------------- END OF YOUR MATPLOTLIB CODE -------------------------------
+
+#------------------------------- Beginning of Matplotlib helper code -----------------------
+
+
+def draw_figure(canvas, figure, loc=(0, 0)):
+    """ Draw a matplotlib figure onto a Tk canvas
+
+    loc: location of top-left corner of figure on canvas in pixels.
+
+    Inspired by matplotlib source: lib/matplotlib/backends/backend_tkagg.py
+    """
+    figure_canvas_agg = FigureCanvasAgg(figure)
+    figure_canvas_agg.draw()
+    figure_x, figure_y, figure_w, figure_h = figure.bbox.bounds
+    figure_w, figure_h = int(figure_w), int(figure_h)
+    photo = Tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)
+    canvas.create_image(loc[0] + figure_w/2, loc[1] + figure_h/2, image=photo)
+    tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
+    return photo
+
+#------------------------------- Beginning of GUI CODE -------------------------------
+
+fig = plt.gcf()             # if using Pyplot then get the figure from the plot
+figure_x, figure_y, figure_w, figure_h = fig.bbox.bounds
+
+# define the window layout
+layout = [[sg.Text('Plot test', font='Any 18')],
+          [sg.Canvas(size=(figure_w, figure_h), key='canvas')],
+          [sg.OK(pad=((figure_w / 2, 0), 3), size=(4, 2))]]
+
+# create the form and show it without the plot
+window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI', force_toplevel=True).Layout(layout).Finalize()
+
+# add the plot to the window
+fig_photo = draw_figure(window.FindElement('canvas').TKCanvas, fig)
+
+# show it all again and get buttons
+button, values = window.Read()