Converting XLSX to CSV in Python

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Summary: Learn how to seamlessly convert Excel files to CSV format using Python, exploring popular libraries and step-by-step instructions for efficient data transformation.
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Python offers various libraries to handle Excel files and convert them to CSV format. Among these, two popular choices are pandas and openpyxl. Let's delve into how you can utilize each of these libraries to effortlessly convert XLSX files to CSV in Python.

Using Pandas

Pandas is a powerful library for data manipulation and analysis. It provides straightforward methods to read Excel files and export data to CSV format.

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In this example, read_excel() reads the Excel file into a DataFrame, and to_csv() exports the DataFrame to a CSV file.

Using Openpyxl

Openpyxl is a library specifically designed for reading and writing Excel files in Python. Though it requires a bit more code compared to Pandas, it offers fine-grained control over Excel file manipulation.

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In this snippet, load_workbook() is used to load the Excel file, and iter_rows() iterates over each row in the worksheet, extracting cell values and writing them to a CSV file.

Conclusion

Both Pandas and Openpyxl provide efficient methods to convert XLSX files to CSV format in Python. While Pandas offers simplicity and ease of use, Openpyxl provides more control and flexibility for advanced Excel file manipulation tasks. Depending on your specific requirements and preferences, you can choose the library that best suits your needs for seamless XLSX to CSV conversion in Python.

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