How to Append New Rows to Existing CSV Files Efficiently in Python?

Efficiently Appending a New Row to an Existing CSV File in Python

To enhance the data management efficiency of your CSV files, consider an improved approach for appending new rows. A commonly practiced method involves storing old CSV rows in a list, deleting the original file, and recreating it with updated values. While functional, this process is inefficient and time-consuming for large datasets.

A more streamlined solution is to utilize Python's built-in file handling capabilities. The 'a' parameter, when added to the open() function, allows you to append content to an existing file instead of overwriting it. Here's a modified code snippet to demonstrate this approach:

<code class="python">with open('document.csv','a') as fd:
    fd.write(myCsvRow)</code>

In this example, 'document.csv' is opened in append mode ('a' parameter), and myCsvRow, which represents the new row, is written to the end of the file using the write() method.

By employing this technique, you can avoid the extra steps of storing and reloading the old CSV data, resulting in improved performance and efficiency when handling large CSV files.

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