How To Read Multiple Columns From CSV File In Python

This article about How To Read Multiple Columns From CSV files in Python is designed in Python programming language.

Python is very easy to research the syntax emphasizes readability and it is able to reduce time ingesting in development.

How To Read CSV File In Python: Project Information

Project Name:How To Read CSV Files in Python
Language/s Used:Python (GUI) Based
Python version (Recommended):2.x or 3.x
Database:None
Type:Python App
Developer:IT SOURCECODE
Updates:0
How To Read CSV File In Python – Project Information

About The Project on How To Read Multiple CSV Files in Python

A Reading CSV File In Python, Also designed in Graphical User Interface (GUI), This article also includes the downloadable Read A CSV File In Python source code for free.

In this tutorial, I will teach you How To Read A CSV File In Python, also this tutorial is the simplest way for beginners or student to Writing CSV File In Python.

To start creating a CSV File In Python, make sure that you have Pycharm IDE installed on your computer.

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Steps on How To Read Multiple Columns From CSV Files in Python

Time needed: 5 minutes

How To Read CSV Files in Python With Source Code

  • Step 1: Create a project name.

    First, open Pycharm IDE and click “file.” After that create a project name and then click the “create” button.
    read csv file create project

  • Step 2: Create a python file.

    Second “right-click” your project name folder and choose new and then click “python file“.
    read csv file create python file

  • Step 3: Name your python file.

    Third, name your Python file and click “enter” to start creating CSV File In Python.
    read csv python file name

  • Step 4: The actual code.

    Fourth, the actual coding in creating CSV File In Python, you are free to copy the code and download the full source code given below.

The code given below is for Importing modules.

from tkinter import *
import tkinter.ttk as ttk
import csv

In this part of codes which is importing all the modules given on top.

The code given below is for the design of this project.

root = Tk()
root.title("Python - Import CSV File To Tkinter Table")
width = 500
height = 400
screen_width = root.winfo_screenwidth()
screen_height = root.winfo_screenheight()
x = (screen_width/2) - (width/2)
y = (screen_height/2) - (height/2)
root.geometry("%dx%d+%d+%d" % (width, height, x, y))
root.resizable(0, 0)


TableMargin = Frame(root, width=500)
TableMargin.pack(side=TOP)
scrollbarx = Scrollbar(TableMargin, orient=HORIZONTAL)
scrollbary = Scrollbar(TableMargin, orient=VERTICAL)
tree = ttk.Treeview(TableMargin, columns=("Firstname", "Lastname", "Address"), height=400, selectmode="extended", yscrollcommand=scrollbary.set, xscrollcommand=scrollbarx.set)
scrollbary.config(command=tree.yview)
scrollbary.pack(side=RIGHT, fill=Y)
scrollbarx.config(command=tree.xview)
scrollbarx.pack(side=BOTTOM, fill=X)
tree.heading('Firstname', text="Firstname", anchor=W)
tree.heading('Lastname', text="Lastname", anchor=W)
tree.heading('Address', text="Address", anchor=W)
tree.column('#0', stretch=NO, minwidth=0, width=0)
tree.column('#1', stretch=NO, minwidth=0, width=200)
tree.column('#2', stretch=NO, minwidth=0, width=200)
tree.column('#3', stretch=NO, minwidth=0, width=300)
tree.pack()

In this module which is the design of the project CSV File In Python.

The code given below is for reading the CSV file.

with open('test.csv') as f:
    reader = csv.DictReader(f, delimiter=',')
    for row in reader:
        firstname = row['firstname']
        lastname = row['lastname']
        address = row['address']
        tree.insert("", 0, values=(firstname, lastname, address))

In this module which is reading the CSV file and displayed in the tkinter table.

Complete Source Code

from tkinter import *
import tkinter.ttk as ttk
import csv

root = Tk()
root.title("Python - Import CSV File To Tkinter Table")
width = 500
height = 400
screen_width = root.winfo_screenwidth()
screen_height = root.winfo_screenheight()
x = (screen_width/2) - (width/2)
y = (screen_height/2) - (height/2)
root.geometry("%dx%d+%d+%d" % (width, height, x, y))
root.resizable(0, 0)


TableMargin = Frame(root, width=500)
TableMargin.pack(side=TOP)
scrollbarx = Scrollbar(TableMargin, orient=HORIZONTAL)
scrollbary = Scrollbar(TableMargin, orient=VERTICAL)
tree = ttk.Treeview(TableMargin, columns=("Firstname", "Lastname", "Address"), height=400, selectmode="extended", yscrollcommand=scrollbary.set, xscrollcommand=scrollbarx.set)
scrollbary.config(command=tree.yview)
scrollbary.pack(side=RIGHT, fill=Y)
scrollbarx.config(command=tree.xview)
scrollbarx.pack(side=BOTTOM, fill=X)
tree.heading('Firstname', text="Firstname", anchor=W)
tree.heading('Lastname', text="Lastname", anchor=W)
tree.heading('Address', text="Address", anchor=W)
tree.column('#0', stretch=NO, minwidth=0, width=0)
tree.column('#1', stretch=NO, minwidth=0, width=200)
tree.column('#2', stretch=NO, minwidth=0, width=200)
tree.column('#3', stretch=NO, minwidth=0, width=300)
tree.pack()

with open('test.csv') as f:
    reader = csv.DictReader(f, delimiter=',')
    for row in reader:
        firstname = row['firstname']
        lastname = row['lastname']
        address = row['address']
        tree.insert("", 0, values=(firstname, lastname, address))

#============================INITIALIZATION==============================
if __name__ == '__main__':
    root.mainloop()

Output:

How To Read CSV File in Python Output
How To Read CSV File in Python Output

Downloadable Source Code

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Summary

This tutorial about How To Read Multiple Columns From CSV File in Python is designed in Python programming language. Python is very smooth to research the syntax emphasizes readability and it is able to reduce time-ingesting in developing

Also, this tutorial is the simplest way for beginners or students to Writing CSV File In Python.

The project contains the Python script (index.py) which is the main and the only module of this project. It also includes the given CSV File that has data inside that named(test.csv).

Inquiries

If you have any questions or suggestions about How To Read CSV File In Python With Source Code, please feel free to leave a comment below.

Frequently Asked Questions

What does this Python tutorial cover?

Focused Python language or library tutorial showing a single concept with working code. Use as building block when assembling a larger system.

What Python version and libraries does this project require?

Most projects in this batch use Python 3.10, 3.11, or 3.12 (avoid 3.13 until library wheels catch up). Standard libs: tkinter (built-in), sqlite3 (built-in). External: pip install pillow opencv-python pygame mysql-connector-python reportlab requests beautifulsoup4. Check the requirements.txt file (if included) for exact versions.

How do I set up the database for this Python project?

For SQLite (most common, no setup needed): the .db file auto-creates on first run. For MySQL: install MySQL Server + MySQL Workbench, create an empty database, import the included .sql file, edit the connection string in db.py (or db_connect.py) with your host, user, password, database name.

Can I use this Python project for a BSIT capstone or thesis?

Yes. Python is rising fast in Philippine BSIT panels. Extend it: add user roles via auth module, dashboards (matplotlib charts), PDF reports (reportlab), email notifications (smtplib), real domain extension (analytics, audit log, multi-branch support). Pair with Chapter 1-5 documentation matching your panel’s rubric.

Why am I getting ‘ModuleNotFoundError’ or ‘No module named X’?

Three common Python issues: (1) Module not installed: pip install (use pip3 on macOS/Linux). (2) Wrong virtualenv: activate the project’s venv before running (python -m venv venv then venv\Scripts\activate on Windows or source venv/bin/activate on Linux/macOS). (3) Python 2 vs Python 3 mismatch: ensure you run python3 main.py not python main.py if both are installed.

Where can I find more Python projects with source code?

Browse the Python Projects hub for the full library. For computer vision specifically see OpenCV Projects (46 vision systems). For ML / AI capstones see Machine Learning Projects. For BSIT capstone idea lists see 150 Best Capstone Project Ideas.

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