RowoverDuplicates: A Python Library for Removing Duplicate Rows in CSV Files

RowoverDuplicates is a Python library that provides a quick and easy way to remove duplicate rows in CSV files. It is designed to be simple, fast, and efficient, making it a valuable tool for anyone working with large amounts of data.

How it Works

The library uses the pandas library to read the CSV file and remove duplicate rows based on user-specified columns. It creates a new CSV file with the unique rows, while preserving the order of the rows in the original CSV file.

Installation

To install RowoverDuplicates, simply use pip:

pip install RowoverDuplicates

Usage

To use RowoverDuplicates, import the module and call the remove_duplicates function:

import RowoverDuplicates

RowoverDuplicates.remove_duplicates("input.csv", "output.csv", ["col1", "col2"])

This will remove duplicates based on the values in "col1" and "col2", creating a new CSV file called "output.csv".

Features and Benefits

• Easy to use: Just specify the input file, output file, and columns to remove duplicates based on
• Fast and efficient: Uses pandas to quickly read and process large CSV files
• Preserves order: Creates a new CSV file with unique rows in the same order as the original file
• Customizable: Remove duplicates based on any number of columns

Conclusion

RowoverDuplicates is a valuable tool for anyone working with CSV files, especially those with large amounts of data. It is easy to use, fast, and efficient, making it a great addition to any data manipulation toolkit. Try it out today and see how it can streamline your workflow!