FloPy Utility Application

"A python application to extract rows/columns from .csv and .xls files."

Version:

• 0.5.2

Introduction to FloPy

FloPy is a utility application that simplifies the process of loading, filtering, and saving specific data from various file formats, including ".csv", ".xls", and ".xlsx". Its user-friendly graphical interface (GUI) ensures that anyone can use the application with ease.

Features at a Glance

• Versatile Data Handling: Load data from CSV, XLS, and XLSX files.
• Flexible Data Export: Save your data in CSV or Excel formats.
• Selective Data Filtering: Choose specific rows or columns to work with.
• Format Conversion: Easily convert between .csv and .excel formats.
• Intuitive GUI: Navigate the application without any hassle.

Prerequisites

Before you start using FloPy, make sure you have the following installed:

• Python 3.6 or newer
• pandas library
• tkinter library
• openpyxl library

Getting Started with FloPy

1. Launch FloPy: Open the application to begin.
2. Select Your Files: Click 'Browse Folder' to choose the directory containing your data files.
3. Load Your Data: Enter the file name and click 'Browse' to import your data.
4. Choose Your Action: Decide whether to 'Extract Rows' or 'Extract Columns'.
5. Specify Your Criteria: Enter the list file name and click 'Browse' to apply your filters.
6. Extract Your Data: Click 'Extract Data' to see the magic happen.
7. Save Your Results: Click 'Save Filtered Data' to keep your filtered data.

About the Author

This project was created by SUVANKAR BANERJEE. You can find more about the author and contribute to the project on GitHub.

License

FloPy is released under the MIT License, promoting open and collaborative software development.

Acknowledgments

A special thanks to all the contributors and supporters who have made FloPy possible. Your inspiration and support are invaluable.