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
1 maintainer
Metadata
1 maintainer
Release files for revamp 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| revamp-1.0.0.tar.gz | 5.1 kB | Details |
Release files / revamp-1.0.0.tar.gz
| Download URL | revamp-1.0.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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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
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