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Title: Python Tutorial - Counting Rows in a CSV File Without Opening
Introduction:
Working with CSV (Comma Separated Values) files is a common task in data analysis and manipulation using Python. In some scenarios, you may need to determine the number of rows in a CSV file without actually opening and reading its contents. This tutorial will guide you through a simple and efficient way to count the rows in a CSV file without opening it.
Requirements:
Code Example:
Explanation:
The os.path.getsize() function is used to obtain the size of the CSV file without opening it.
An average row size is assumed (you may need to adjust this based on your data) to estimate the number of rows in the file.
The script then opens the file in binary mode ('rb') and moves to the end.
It reads the file backward, searching for the last newline character (b'\n') to identify the beginning of the last line.
The script then counts the lines in the remaining portion of the file, providing both an estimated and actual count of the rows.
Note: This approach provides a quick estimation and may not be accurate if the rows have varying sizes. Adjust the average_row_size parameter based on your specific use case for better accuracy.
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