How to save a Python Dictionary to a CSV File?

Prerequisites: Working with csv files in Python

CSV (comma-separated values) files are one of the easiest ways to transfer data in form of string especially to any spreadsheet program like Microsoft Excel or Google spreadsheet. In this article, we will see how to save a PYthon dictionary to a CSV file. Follow the below steps for the same.

  1. Import csv module

    import csv
  2. Creating list of field names

    field_names= ['No', 'Company', 'Car Model']
  3. Creating a list of python dictionaries

    cars = [
    {‘No’: 1, ‘Company’: ‘Ferrari’, ‘Car Model’: ‘488 GTB’},
    {‘No’: 2, ‘Company’: ‘Porsche’, ‘Car Model’: ‘918 Spyder’},
    {‘No’: 3, ‘Company’: ‘Bugatti’, ‘Car Model’: ‘La Voiture Noire’},
    {‘No’: 4, ‘Company’: ‘Rolls Royce’, ‘Car Model’: ‘Phantom’},
    {‘No’: 5, ‘Company’: ‘BMW’, ‘Car Model’: ‘BMW X7’},

  4. Writing content of dictionaries to CSV file

    with open('Names.csv', 'w') as csvfile:
        writer = csv.DictWriter(csvfile, fieldnames=field_names)


    DictWriter( (filename), fieldnames = [list of field names] )

    In the above code snippet writer is an instance of csv.DictWriter class and uses two of its following methods:

    1. DictWriter.writeheader() is used to write a row of column headings / field names to the given CSV file
    2. csvwriter.writerows() method is used to write rows of data into the specified file.
  5. Note: To write a single dictionary in CSV file use writerow() method

Complete code to write python dictionaries in CSV file





import csv
field_names = ['No', 'Company', 'Car Model']
cars = [
{'No': 1, 'Company': 'Ferrari', 'Car Model': '488 GTB'},
{'No': 2, 'Company': 'Porsche', 'Car Model': '918 Spyder'},
{'No': 3, 'Company': 'Bugatti', 'Car Model': 'La Voiture Noire'},
{'No': 4, 'Company': 'Rolls Royce', 'Car Model': 'Phantom'},
{'No': 5, 'Company': 'BMW', 'Car Model': 'BMW X7'},
with open('Names.csv', 'w') as csvfile:
    writer = csv.DictWriter(csvfile, fieldnames = field_names)




Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :
Practice Tags :

Be the First to upvote.

Please write to us at to report any issue with the above content.