PYTHON PROGRAM • JSON, CSV & COLLECTIONS
Write and Read CSV Data in Python
Learn write and read csv data in python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
Sample input
No input required
Sample output
[['name', 'mark'], ['Asha', '90']]
COMPLETE PYTHON PROGRAM
Complete Python implementation
import csv
with open('marks.csv', 'w', newline='', encoding='utf-8') as file:
csv.writer(file).writerows([['name', 'mark'], ['Asha', 90]])
with open('marks.csv', newline='', encoding='utf-8') as file:
print(list(csv.reader(file)))CURRENT STEP
SELECTED LINE
EXPECTED OUTPUT FOR THE SAMPLE
[['name', 'mark'], ['Asha', '90']]
Step 0 of 0
PROGRAM EXPLANATION
Algorithm and explanation
- Import the required standard-library tools and prepare the sample data for write and read csv data.
- Perform the file operation using csv and reader.
- Display the result for write and read csv data and compare it with the documented sample output.
This example of write and read csv data computes the result directly from the prepared sample data. It demonstrates csv, reader, and writer and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
Time complexity
O(n)
Auxiliary space
O(n)
DEBUGGING CHECKLIST
Common mistakes
Check this
For write and read csv data, keep the data shape and value types consistent with csv.
Check this
Keep every dependent statement inside the correct indented Python block.
Check this
Use the intended file mode and encoding, and let the context manager close the resource.
Try it yourself
Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.
