Python library to easily improve multivariate Exploratory Data Analysis graphs
Project description
scientistshiny : Python library for multidimensional analysis
About scientistshiny
scientistshiny is a Python package to easily improve multivariate Exploratory Data Analysis graphs.
Installation
Dependencies
scientistshiny requires
scientisttools>=0.1.3
numpy>=1.26.2
matplotlib>=3.5.3
scikit-learn>=1.2.2
pandas>=1.5.3
mapply>=0.1.21
plotnine>=0.10.1
plydata>=0.4.3
pingouin>=0.5.3
scientistmetrics>=0.0.3
ggcorrplot>=0.0.2
User installation
You can install scientisttools using pip :
pip install scientistshiny
Author
Duvérier DJIFACK ZEBAZE (duverierdjifack@gmail.com)
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
scientistshiny-0.0.1.tar.gz
(84.5 kB
view details)
Built Distribution
File details
Details for the file scientistshiny-0.0.1.tar.gz.
File metadata
- Download URL: scientistshiny-0.0.1.tar.gz
- Upload date:
- Size: 84.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2bc0664e6475d25d4959a6679f3841635f0e66cb4085b0dbfdfff45325abf91c |
|
| MD5 | f3028283d4b21d0e3bb774f23e9b7602 |
|
| BLAKE2b-256 | 17b0abbea63431d9ffdd607e3dc88071156031783631cd2a700107e57ea15696 |
File details
Details for the file scientistshiny-0.0.1-py3-none-any.whl.
File metadata
- Download URL: scientistshiny-0.0.1-py3-none-any.whl
- Upload date:
- Size: 29.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 702e631a13389f5b0ac436bdc5558b4c958a985b0fa483cbd96cb3d9bbbf4c1e |
|
| MD5 | cddec58823b8d0c9319dbd48bb0b1143 |
|
| BLAKE2b-256 | f0ccd89484930816e539c591ab4db08c34c596724c484835890b4caf4692a590 |
