Data pre-processing
Project description
Revamp
A python library that helps in data preparation. Data cleansing steps like missing values imputation, encoding, one-hot encoding, and scaling can be performed by using this library.
Installation
pip install revamp
Get started
Prepare your tabular data for statistical analysis or predictive modeling.
from revamp import DataPreperation
# Instantiate object
transformation = DataPreperation()
# Call the object method
print(transformation.Transform(X=train, cleansing_step="all"))
Change Log
1.0.0 (30/10/2021)
- First Release
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
revamp-0.0.8.tar.gz
(5.1 kB
view details)
File details
Details for the file revamp-0.0.8.tar.gz.
File metadata
- Download URL: revamp-0.0.8.tar.gz
- Upload date:
- Size: 5.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 016745d9552a20e63ab87841d7d1b7b347e596e5a752a736d86735cdb6c0d94d |
|
| MD5 | d5efdb7241ba7e7e7505820d7db7bb5b |
|
| BLAKE2b-256 | cd5c47c972691f5e6fec7b472eacc60915f50bbc7feb32d78fe6dc9c4d61736a |
