Article Summary
Working with Python CSV files means learning to read, write, and parse tabular data using Python's built-in `csv` module or pandas. This article covers both tools, including reader, DictReader, writer, and DictWriter methods. You'll gain practical skills to handle any CSV format confidently.
To retrieve and store the information your application uses, it takes more than just your programming language, keyboard, and console. If you are using Python, you have a few options, including the Python CSV module that will allow you to store the data your app uses and processes as a CSV (Comma Separated Values) file. While many applications use a database, using a CSV file might be better at times, like when you are generating data for another application that is expecting this format. In this article, you’ll learn how to read and write the data in a CSV file with Python in two different ways: using the Python CSV module and using the third-party Pandas library.
What is a CSV file?
A CSV file is a plain text file used for storing tabular data. Because it is plain text, you can open a CSV file in a text editor to edit it. You can also open CSV files in Microsoft Excel and other spreadsheet applications to see the data displayed in a tabular format.
The name of a CSV file hints at what it looks like (i.e., Comma Separated Values). Here is the contents of an example CSV file:
| name,city,state,birthday month Bob,Kansas City,MO,March Jane,St. Louis,MO,January Rick,New York,NY,April |
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Frequently Asked Questions
Using a CSV file is a simple, common way of storing tabular data. Find out how to use the Python CSV module to create, read, and use CSV files. This guide provides structured insights, proven methodologies, and actionable execution steps for modern professionals.
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