Python Tkinter CSV viewer with tabular display

Python Tkinter File Operations and Integration: Exercise-2 with Solution

Write a Python program using Tkinter that reads a CSV file and displays its contents in a tabular format, using labels and a grid layout.

Sample Solution:

Python Code:

import tkinter as tk
from tkinter import ttk
import csv

class CSVViewerApp:
    def __init__(self, root):
        self.root = root
        self.root.title("CSV Viewer")

        # Create a Frame to hold the table
        self.frame = ttk.Frame(root)
        self.frame.pack(expand=tk.YES, fill=tk.BOTH)

        # Create a Treeview widget for the tabular display
        self.tree = ttk.Treeview(self.frame, columns=("Column 1", "Column 2", "Column 3"))
        self.tree.heading("#1", text="Column-1")
        self.tree.heading("#2", text="Column-2")
        self.tree.heading("#3", text="Column-3")
        
        # Add scrollbar for the Treeview
        self.scrollbar = ttk.Scrollbar(self.frame, orient="vertical", command=self.tree.yview)
        self.tree.configure(yscrollcommand=self.scrollbar.set)

        # Pack the Treeview and scrollbar
        self.tree.pack(side="left", fill="both", expand=True)
        self.scrollbar.pack(side="right", fill="y")

        # Open and read the CSV file
        with open("test.csv", "r") as csv_file:
            csv_reader = csv.reader(csv_file)
            
            # Add data to the Treeview
            for row in csv_reader:
                self.tree.insert("", "end", values=row)

if __name__ == "__main__":
    root = tk.Tk()
    app = CSVViewerApp(root)
    root.mainloop()

Explanation:

In the exercise above -

The program creates a GUI application using Tkinter with a Treeview widget to display CSV file contents. It reads the CSV file ("test.csv" in this case) and populates the Treeview with its data in a tabular format, where each row of the CSV file corresponds to a row in the table. The columns are labeled "Column 1," "Column 2," and "Column 3," but we can adjust these labels according to our CSV file's structure.

Output:

Flowchart:

Python Code Editor:

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