Metadata-Version: 2.4
Name: phantom_cleaner
Version: 0.1.0
Summary: A lightweight data cleaning library for Python
Home-page: https://github.com/yourusername/phantom_cleaner
Author: Arjun M
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.0.0
Requires-Dist: numpy>=1.18.0
Requires-Dist: scikit-learn>=0.22.0
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Phantom Cleaner 🧹

`phantom_cleaner` is a simple and efficient Python library to clean your datasets with minimal effort.

## Features

- Handle missing values (mean, median, mode, drop)
- Remove duplicates
- Remove outliers using IQR
- Label encode categorical variables
- Clean text data (lowercase, remove punctuation and digits)

## Installation

```bash
pip install phantom_cleaner



#USAGE

# import pandas as pd
# from phantom_cleaner import PhantomCleaner

# df = pd.read_csv('yourfile.csv')
# cleaned_df = (PhantomCleaner(df)
#               .fill_missing('mean')
#               .remove_outliers_iqr()
#               .remove_duplicates()
#               .label_encode()
#               .get_data())

# print(cleaned_df.head())
