How to create a GUI Expense Tracker using Python | Tkinter | Matplotlib | Full Tutorial
In this tutorial, we will learn how to create a Graphical User Interface (GUI) Expense Tracker using Python with the help of Tkinter for creating the GUI and Matplotlib for displaying the expenses graphically.
Step 1: Setting up the environment
First, make sure you have Python installed on your computer. You can download and install Python from the official website. Next, you will need to install Tkinter and Matplotlib libraries. You can install these libraries using pip:
pip install tkinter matplotlib
Step 2: Creating the GUI
Now, let’s create the GUI for our Expense Tracker using Tkinter. Below is a simple example of creating a basic GUI with input fields for entering expenses:
import tkinter as tk
root = tk.Tk()
root.title("Expense Tracker")
label = tk.Label(root, text="Enter expense:")
label.pack()
entry = tk.Entry(root)
entry.pack()
button = tk.Button(root, text="Add Expense")
button.pack()
root.mainloop()
Step 3: Adding functionality
Next, let’s add functionality to our Expense Tracker. We will create a function that will be called when the “Add Expense” button is clicked. This function will retrieve the entered expense from the input field and display it on the screen:
def add_expense():
expense = entry.get()
# Add code here to store the expense and update the graph
print("Expense added: ", expense)
button.config(command=add_expense)
Step 4: Displaying expenses graphically
Finally, let’s display the expenses graphically using Matplotlib. We will create a simple bar chart to visualize the expenses. Below is an example of how to update the graph when a new expense is added:
import matplotlib.pyplot as plt
expenses = [] # List to store expenses
def update_graph():
plt.bar(range(len(expenses)), expenses)
plt.xlabel('Expense Number')
plt.ylabel('Expense Amount')
plt.title('Expense Tracker')
plt.show()
update_graph()
Conclusion
Congratulations! You have successfully created a GUI Expense Tracker using Python with Tkinter and Matplotlib. You can further enhance this project by adding features like saving expenses to a file, categorizing expenses, and generating expense reports.
