Metadata-Version: 2.4
Name: cleanframe-data
Version: 0.0.1
Summary: Automated Data Cleaning for Faster Analytics
Project-URL: Homepage, https://github.com/TejasAnalyst/cleanframe
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.5.0
Requires-Dist: numpy>=1.20.0
Dynamic: license-file

# cleanframe 🪄

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Version](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/)

**Automated Data Cleaning for Faster Analytics**

`cleanframe` is a lightweight, fast, and intuitive Python library designed to automate dataset diagnostics and cleaning. It helps data analysts, scientists, and beginners clean messy datasets and handle missing values or duplicates in just one line of code.

---

## 🚀 Features

* **One-Line Auto-Clean:** Drop duplicates and impute missing values instantly using `cf.auto_clean(df)`.
* **Dataset Diagnostics:** Get a quick, comprehensive report of data types, missing values, and percentages.
* **Method Chaining:** Clean your data step-by-step using an intuitive, fluent API.
* **Modern Pandas Ready:** Built from the ground up to support modern Pandas (2.0+) Copy-on-Write behaviors without annoying warnings.

---

## 🛠️ Installation

*(Once published to PyPI, you can install it via pip)*

```bash
pip install cleanframe
