├── README.md
├── dashboard.py
└── data.py


/README.md:
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1 | # tkinter-matplotlib-dashboard
2 | Source code for Youtube video: https://youtu.be/2JjQIh-sgHU
3 | 


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/dashboard.py:
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 1 | import tkinter as tk
 2 | from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
 3 | import matplotlib.pyplot as plt
 4 | from data import sales_data, inventory_data, product_data, sales_year_data, inventory_month_data
 5 | 
 6 | 
 7 | plt.rcParams["axes.prop_cycle"] = plt.cycler(
 8 |     color=["#4C2A85", "#BE96FF", "#957DAD", "#5E366E", "#A98CCC"])
 9 | 
10 | # Chart 1: Bar chart of sales data
11 | fig1, ax1 = plt.subplots()
12 | ax1.bar(sales_data.keys(), sales_data.values())
13 | ax1.set_title("Sales by Product")
14 | ax1.set_xlabel("Product")
15 | ax1.set_ylabel("Sales")
16 | # plt.show()
17 | 
18 | # Chart 2: Horizontal bar chart of inventory data
19 | fig2, ax2 = plt.subplots()
20 | ax2.barh(list(inventory_data.keys()), inventory_data.values())
21 | ax2.set_title("Inventory by Product")
22 | ax2.set_xlabel("Inventory")
23 | ax2.set_ylabel("Product")
24 | # plt.show()
25 | 
26 | # Chart 3: Pie chart of product data
27 | fig3, ax3 = plt.subplots()
28 | ax3.pie(product_data.values(), labels=product_data.keys(), autopct='%1.1f%%')
29 | ax3.set_title("Product \nBreakdown")
30 | # plt.show()
31 | 
32 | # Chart 4: Line chart of sales by year
33 | fig4, ax4 = plt.subplots()
34 | ax4.plot(list(sales_year_data.keys()), list(sales_year_data.values()))
35 | ax4.set_title("Sales by Year")
36 | ax4.set_xlabel("Year")
37 | ax4.set_ylabel("Sales")
38 | # plt.show()
39 | 
40 | # Chart 5: Area chart of inventory by month
41 | fig5, ax5 = plt.subplots()
42 | ax5.fill_between(inventory_month_data.keys(),
43 |                  inventory_month_data.values())
44 | ax5.set_title("Inventory by Month")
45 | ax5.set_xlabel("Month")
46 | ax5.set_ylabel("Inventory")
47 | # plt.show()
48 | 
49 | # Create a window and add charts
50 | root = tk.Tk()
51 | root.title("Dashboard")
52 | root.state('zoomed')
53 | 
54 | side_frame = tk.Frame(root, bg="#4C2A85")
55 | side_frame.pack(side="left", fill="y")
56 | 
57 | label = tk.Label(side_frame, text="Dashboard", bg="#4C2A85", fg="#FFF", font=25)
58 | label.pack(pady=50, padx=20)
59 | 
60 | charts_frame = tk.Frame(root)
61 | charts_frame.pack()
62 | 
63 | upper_frame = tk.Frame(charts_frame)
64 | upper_frame.pack(fill="both", expand=True)
65 | 
66 | canvas1 = FigureCanvasTkAgg(fig1, upper_frame)
67 | canvas1.draw()
68 | canvas1.get_tk_widget().pack(side="left", fill="both", expand=True)
69 | 
70 | canvas2 = FigureCanvasTkAgg(fig2, upper_frame)
71 | canvas2.draw()
72 | canvas2.get_tk_widget().pack(side="left", fill="both", expand=True)
73 | 
74 | canvas3 = FigureCanvasTkAgg(fig3, upper_frame)
75 | canvas3.draw()
76 | canvas3.get_tk_widget().pack(side="left", fill="both", expand=True)
77 | 
78 | lower_frame = tk.Frame(charts_frame)
79 | lower_frame.pack(fill="both", expand=True)
80 | 
81 | canvas4 = FigureCanvasTkAgg(fig4, lower_frame)
82 | canvas4.draw()
83 | canvas4.get_tk_widget().pack(side="left", fill="both", expand=True)
84 | 
85 | canvas5 = FigureCanvasTkAgg(fig5, lower_frame)
86 | canvas5.draw()
87 | canvas5.get_tk_widget().pack(side="left", fill="both", expand=True)
88 | 
89 | root.mainloop()
90 | 


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/data.py:
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 1 | # Dummy data
 2 | sales_data = {
 3 |     "Product A": 100,
 4 |     "Product B": 200,
 5 |     "Product C": 600,
 6 |     "Product D": 400,
 7 |     "Product E": 500
 8 | }
 9 | 
10 | inventory_data = {
11 |     "Product A": 150,
12 |     "Product B": 75,
13 |     "Product C": 100,
14 |     "Product D": 125,
15 |     "Product E": 150
16 | }
17 | 
18 | product_data = {
19 |     "A": 10,
20 |     "B": 40,
21 |     "C": 30,
22 |     "D": 20,
23 |     "E": 50
24 | }
25 | 
26 | sales_year_data = {
27 |     2018: 5000,
28 |     2019: 17500,
29 |     2020: 10000,
30 |     2021: 7500,
31 |     2022: 15000
32 | }
33 | 
34 | inventory_month_data = {
35 |     "Jan": 200,
36 |     "Feb": 300,
37 |     "Mar": 800,
38 |     "Apr": 1300,
39 |     "May": 600,
40 |     "Jun": 900,
41 |     "Jul": 700,
42 |     "Aug": 900,
43 |     "Sep": 1000,
44 |     "Oct": 300,
45 |     "Nov": 450,
46 |     "Dec": 1300
47 | }
48 | 


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