Automated data cleaning library for pandas DataFrames
Project description
AutoClean 🧹
AutoClean is an automated data cleaning library for pandas DataFrames.
It intelligently detects column types, handles missing values, removes outliers,
drops useless columns, and generates a clear before/after report.
Built for data scientists, ML engineers, and students who want clean data in one line.
✨ Features
- Automatic column standardization
- Intelligent data type detection (numerical, categorical, datetime)
- Missing value handling with smart strategies
- Outlier detection & removal (IQR-based)
- Constant & empty column removal
- Before/After cleaning report
- Configurable & extensible pipeline
🚀 Installation (Local / Dev)
pip install .
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file autoclean_ds-0.1.0.tar.gz.
File metadata
- Download URL: autoclean_ds-0.1.0.tar.gz
- Upload date:
- Size: 6.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc9fefce4b016ab8b02c42f1f03d3f179c3b4ce412a92b7cd15760df86801777
|
|
| MD5 |
a7523c47fb2085e8a9346ddef0b8b2c6
|
|
| BLAKE2b-256 |
3fcce154e10b75e9b3e614e29376f1804fe478551a8f515e907412007d280b48
|
File details
Details for the file autoclean_ds-0.1.0-py3-none-any.whl.
File metadata
- Download URL: autoclean_ds-0.1.0-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce7bc31531440b28ef7c10d871963d8954e3e83ffce62e1735bd9afd3b320648
|
|
| MD5 |
d7777f78a154fd1ce44fefa0f9d758c2
|
|
| BLAKE2b-256 |
9d043b40a642cc12f80763e8fe76dfd452c292d7100492a407aad71e2dd97b78
|
