csv python list
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Title: Working with CSV Files in Python: A Comprehensive Tutorial
Introduction:
CSV (Comma Separated Values) files are a popular format for storing tabular data, and Python provides a straightforward way to handle them. In this tutorial, we'll explore how to read from and write to CSV files using Python lists. We'll cover the basics of CSV handling, including reading and writing data, handling headers, and dealing with different delimiters.
To read data from a CSV file into a Python list, you can use the built-in csv module. Here's a simple example:
This code uses the csv.reader class to read the CSV file row by row and appends each row to the data_list. Adjust the csv_file_path variable to point to your CSV file.
To write data from a Python list to a CSV file, you can use the csv.writer class. Here's an example:
Adjust the csv_file_path and data_to_write variables accordingly. The newline='' argument in open() ensures proper line endings.
CSV files often have a header row that contains column names. To handle headers, you can use the csv.DictReader class for reading and csv.DictWriter class for writing. Here's an example:
In this example, each row is represented as a dictionary where keys are the header names.
If your CSV file uses a delimiter other than a comma, you can specify it using the delimiter parameter. For example, for a tab-delimited file:
Adjust the tsv_file_path variable according to your file's path.
Conclusion:
Handling CSV files in Python is a fundamental skill for working with data. The csv module provides a simple and efficient way to read from and write to CSV files. By following this tutorial, you should now have a solid foundation for manipulating CSV data using Python lists.
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