How to Efficiently Export Nested Lists to CSV in Python?

Efficiently Exporting Nested Lists to CSV in Python

Having a long list of sublists with varying data types can pose a challenge when exporting to a CSV file. To achieve the desired output, where each sublist appears as a row in the CSV, we can leverage the versatility of Python's csv module.

Python's built-in csv module provides an easy-to-use interface for managing CSV data. To write a list of lists to a CSV file, we follow these steps:

1. Import the csv module: Begin by importing the csv module to access its file handling capabilities.
2. Open the CSV file for writing: Using the with open statement, open the target CSV file in write mode, specifying the file path and providing an optional newline argument (in this case, '' turns off the automatic newline handling).
3. Create a CSV writer object: Construct a CSV writer object using the writer() method of the open file. This object handles writing data to the CSV file.
4. Write the list of lists to the CSV file: Use the writerows() method of the CSV writer object to write the entire list of lists (a) to the CSV file. Each sublist appears as a row in the output file.

Here's the code snippet to illustrate this process:

import csv

with open('out.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerows(a)

This code assumes that your list of lists is assigned to the variable a, as indicated in your question. You can customize the specific format of the output CSV using the optional parameters provided by csv.writer(). This allows you to tailor the file to meet your specific requirements.

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