Python CSV Handling: Read Write Guide

Some common methods for processing CSV data using Python include reading, writing, and manipulating CSV files with the csv module.

1. Read CSV file:
2. Read the ‘data.csv’ file using the csv module and print each row.
3. Write to CSV file.
4. Save the ‘data’ list to a CSV file named ‘data.csv’ using the csv library.
5. Read a CSV file and store the data as a dictionary.
6. Read the ‘data.csv’ file using the csv module and print each row as a dictionary.
7. Write dictionary data to a CSV file.
8. Use the csv module to write a list of dictionaries containing names and ages onto a CSV file named ‘data.csv’.
9. Sort the CSV data.
10. Read a CSV file named “data.csv”, sort the rows based on the values in the second column, and then print each row.
11. Filtering CSV data:
12. Read the ‘data.csv’ file using the ‘csv’ library in Python and filter out rows with ages greater than 25 to print them.

These are some fundamental CSV data processing methods that can be flexibly applied according to specific needs.