a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.
Project description
The author of this package has not provided a project description
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 cleansipy-0.1.0.tar.gz.
File metadata
- Download URL: cleansipy-0.1.0.tar.gz
- Upload date:
- Size: 676.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5a4d5f5c8b24daefa0904768ce9468b087d073da4062642ae92cd8cb56e9fc9
|
|
| MD5 |
b6a3b5cd3d3f0b849b81527ec98cd300
|
|
| BLAKE2b-256 |
f2503764b48992b18058d4b36ce3259f0b482390e90c472c5c3497cc07006cb5
|
File details
Details for the file cleansipy-0.1.0-py3-none-any.whl.
File metadata
- Download URL: cleansipy-0.1.0-py3-none-any.whl
- Upload date:
- Size: 681.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9dbd62b0a7792654089bc48dd3715b83a3fa986ce142272d444a5a6913b0560
|
|
| MD5 |
0d4f37b85034c184a89ca0004d7c241f
|
|
| BLAKE2b-256 |
1e0e129bf9cfa57e037eb5e4402c5b816c37766d15ff5863ec47a8bd4f381d67
|
