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

Efficient Appending of New Rows to CSV Files in Python

Appending a new row to an existing CSV file is a common task in data analysis and manipulation. While the provided solution of storing old rows in a list, deleting the file, and then recreating it with the updated data can work, there are more efficient approaches available.

Utilizing the Append Mode ('a')

One such approach is leveraging the 'a' parameter when opening the file. This technique allows you to append data to the end of the file without overwriting it. Here's how to do it:

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

In this code, we open the 'document.csv' file in append mode using the 'a' parameter. The 'with' statement ensures proper file handling, closing the file automatically after the code block. The 'fd.write(myCsvRow)' line appends the new CSV row to the file.

Other Considerations

• Encoding: Ensure that the file encoding matches the encoding of the CSV row you are appending.
• Delimiter: Verify that the specified delimiter aligns with the delimiter used in the CSV file.
• File Permissions: Check that the script has write access to the CSV file.

By adopting this optimized method, you can append new rows to your CSV file more efficiently, eliminating the need for intermediate steps like recreating the file.

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