Convert Xlsx To Csv Python May 2026

When dealing with massive Excel files (hundreds of megabytes), Pandas and OpenPyXL can consume excessive RAM and run slowly. Python bindings for the Rust-based calamine engine offer blazing fast, memory-efficient reads. Installation pip install python-calamine Use code with caution. Code Implementation

The Pandas library is the most popular choice for tabular data manipulation. It reads the entire Excel file into an in-memory DataFrame, making conversion straightforward. Installation pip install pandas openpyxl Use code with caution. convert xlsx to csv python

3. Using Calamine (Best for Ultra-Fast and Large File Conversion) When dealing with massive Excel files (hundreds of

import csv import openpyxl def convert_xlsx_to_csv_openpyxl(xlsx_path, csv_path, sheet_name=None): # Load workbook wb = openpyxl.load_workbook(xlsx_path, data_only=True) # Select active sheet or specific sheet sheet = wb[sheet_name] if sheet_name else wb.active # Write to CSV with open(csv_path, 'w', newline='', encoding='utf-8') as csv_file: writer = csv.writer(csv_file) for row in sheet.iter_rows(values_only=True): writer.writerow(row) # Example usage convert_xlsx_to_csv_openpyxl('data.xlsx', 'output_openpyxl.csv') Use code with caution. Code Implementation The Pandas library is the most