try1.py

# From example at https://datatofish.com/matplotlib-charts-tkinter-gui/
# matlplotlib chart in tkinter window

import tkinter as tk
from pandas import DataFrame
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

data1 = {'Country': ['US','CA','GER','UK','FR'],
         'GDP_Per_Capita': [45000,42000,52000,49000,47000]
        }
df1 = DataFrame(data1,columns=['Country','GDP_Per_Capita'])


data2 = {'Year': [1920,1930,1940,1950,1960,1970,1980,1990,2000,2010],
         'Unemployment_Rate': [9.8,12,8,7.2,6.9,7,6.5,6.2,5.5,6.3]
        }
df2 = DataFrame(data2,columns=['Year','Unemployment_Rate'])


data3 = {'Interest_Rate': [5,5.5,6,5.5,5.25,6.5,7,8,7.5,8.5],
         'Stock_Index_Price': [1500,1520,1525,1523,1515,1540,1545,1560,1555,1565]
        }
df3 = DataFrame(data3,columns=['Interest_Rate','Stock_Index_Price'])


root= tk.Tk()

figure1 = plt.Figure(figsize=(6,5), dpi=100)
ax1 = figure1.add_subplot(111)
bar1 = FigureCanvasTkAgg(figure1, root)
bar1.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
df1 = df1[['Country','GDP_Per_Capita']].groupby('Country').sum()
df1.plot(kind='bar', legend=True, ax=ax1)
ax1.set_title('Country Vs. GDP Per Capita')

figure2 = plt.Figure(figsize=(5,4), dpi=100)
ax2 = figure2.add_subplot(111)
line2 = FigureCanvasTkAgg(figure2, root)
line2.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
df2 = df2[['Year','Unemployment_Rate']].groupby('Year').sum()
df2.plot(kind='line', legend=True, ax=ax2, color='r',marker='o', fontsize=10)
ax2.set_title('Year Vs. Unemployment Rate')

figure3 = plt.Figure(figsize=(5,4), dpi=100)
ax3 = figure3.add_subplot(111)
ax3.scatter(df3['Interest_Rate'],df3['Stock_Index_Price'], color = 'g')
scatter3 = FigureCanvasTkAgg(figure3, root)
scatter3.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
ax3.legend(['Stock_Index_Price'])
ax3.set_xlabel('Interest Rate')
ax3.set_title('Interest Rate Vs. Stock Index Price')

root.mainloop()