Python - Import CSV File To Tkinter Table

Submitted by razormist on Thursday, July 26, 2018 - 13:17.
In this tutorial we will create Import CSV File To Tkinter Table Using Python. Python has a design philosophy which emphasizes code readability. Python is very easy to learn the syntax emphasizes readability and it can reduces time consuming in developing. Beginners find Python a clean syntax and indentation structure based, and it is easy to learn because of its less semi colon problem. So let's now do the coding...

Getting started:

First you will have to download & install the Python IDLE's, here's the link for the Integrated Development And Learning Environment for Python https://www.python.org/downloads/.

Importing Modules

After setting up the installation and the database, run the IDLE and click file and then new file. After that a new window will appear containing a black file this will be the text editor for the python. Then copy code that I provided below and paste it inside the IDLE text editor.
  1. from tkinter import *
  2. import tkinter.ttk as ttk
  3. import csv

Setting up the Main Frame

After importing the modules, we will now then create the main frame for the application. To do that just copy the code below and paste it inside the IDLE text editor.
  1. root = Tk()
  2. root.title("Python - Import CSV File To Tkinter Table")
  3. width = 500
  4. height = 400
  5. screen_width = root.winfo_screenwidth()
  6. screen_height = root.winfo_screenheight()
  7. x = (screen_width/2) - (width/2)
  8. y = (screen_height/2) - (height/2)
  9. root.geometry("%dx%d+%d+%d" % (width, height, x, y))
  10. root.resizable(0, 0)

Designing the Layout

After creating the Main Frame we will now add some layout to the application. Just kindly copy the code below and paste it inside the IDLE text editor.
  1. TableMargin = Frame(root, width=500)
  2. TableMargin.pack(side=TOP)
  3. scrollbarx = Scrollbar(TableMargin, orient=HORIZONTAL)
  4. scrollbary = Scrollbar(TableMargin, orient=VERTICAL)
  5. tree = ttk.Treeview(TableMargin, columns=("Firstname", "Lastname", "Address"), height=400, selectmode="extended", yscrollcommand=scrollbary.set, xscrollcommand=scrollbarx.set)
  6. scrollbary.config(command=tree.yview)
  7. scrollbary.pack(side=RIGHT, fill=Y)
  8. scrollbarx.config(command=tree.xview)
  9. scrollbarx.pack(side=BOTTOM, fill=X)
  10. tree.heading('Firstname', text="Firstname", anchor=W)
  11. tree.heading('Lastname', text="Lastname", anchor=W)
  12. tree.heading('Address', text="Address", anchor=W)
  13. tree.column('#0', stretch=NO, minwidth=0, width=0)
  14. tree.column('#1', stretch=NO, minwidth=0, width=200)
  15. tree.column('#2', stretch=NO, minwidth=0, width=200)
  16. tree.column('#3', stretch=NO, minwidth=0, width=300)
  17. tree.pack()

Creating the Main Function

This is where the code that contains the main functions. This code will read the csv file then display all the data to the Tkinter TreeView. To do that just copy and write these blocks of code.
  1. with open('test.csv') as f:
  2.     reader = csv.DictReader(f, delimiter=',')
  3.     for row in reader:
  4.         firstname = row['firstname']
  5.         lastname = row['lastname']
  6.         address = row['address']
  7.         tree.insert("", 0, values=(firstname, lastname, address))

Initializing the Application

After finishing the function save the application as index.py. This function will run the code and check if the main is initialize properly. To do that copy the code below and paste it inside the IDLE text editor.
  1. #============================INITIALIZATION==============================
  2. if __name__ == '__main__':
  3.     root.mainloop()
There you have it we just created a Import CSV File To Tkinter Table Using Python. I hope that this simple tutorial help you for what you are looking for. For more updates and tutorials just kindly visit this site. Enjoy Coding!
Tags
Python
tkinter
treeview
csv

Comments

Submitted by Unkown232134 (not verified) on Wed, 06/09/2021 - 21:46

Excuse me, How do I reverse the content of the csv while putting it on the table??

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