Metadata-Version: 2.1
Name: RadViz-Plotly
Version: 0.0.2
Summary: 2D RadViz and 3D RadViz library, using plotly 2D and 3D scatter plot
Home-page: https://github.com/elewah/RadViz-Plotly.git
Author: Elewah
Author-email: abdelrahman.elewah@gmail.com
License: UNKNOWN
Description: # RadViz-Plotly
        
        <table>
            <tr>
                <td>Latest Release</td>
                <td>
                    <a href="https://pypi.org/project/RadViz-Plotly/"/>
                    <img src="https://badge.fury.io/py/RadViz-Plotly.svg"/>
                </td>
            </tr>
            <tr>
                <td>Examples</td>
                <td>
                    <a href="https://badge.fury.io/gh/elewah%2FRadViz-Plotly-Examples">
                    <img src="https://badge.fury.io/gh/elewah%2FRadViz-Plotly-Examples.svg" alt="GitHub version" height="18"></a>
                </td>
            </tr>
            <tr>
                <td>PyPI Downloads</td>
                <td>
                    <a href="https://pepy.tech/project/RadViz-Plotly"/>
                    <img src="https://pepy.tech/badge/RadViz-Plotly"/>
                </td>
            </tr>
            <tr>
                <td>License</td>
                <td>
                    <a href="https://opensource.org/licenses/MIT"/>
                    <img src="https://img.shields.io/badge/License-MIT-yellow.svg"/>
                </td>
            </tr>
        </table>
        
        ## Short Description 
        The Radviz-Plotly package has two functions, 2DRadViz that plots the 2D Radial visualization and 3DRadViz that plots Radial visualization, using the powerful interactive tools in Plotly library.
        
        
        ## Quickstart 
        ### Without Locally Installation
        Try the RadViz-Plotly package**without locally Installation
        Follow these steps</br>
        1- click this link [here](https://mybinder.org/v2/gh/elewah/RadViz-Plotly-Examples/master). It's a collection of interactive Jupyter notebooks  that contains three folders. Each folder contains Dataset and a Jupyter file that use RadViz-Plotly.</br>
        **Hint:**  sometimes this link takes a long time to open as jupyter's environment.</br>
        2- After the jupyter environment comes out, open Car Evaluation Dataset, Election Dataset, or Iris Dataset folder.  </br>
        3- Open file with extension **.ipynb** (the jupyter file)</br>
        4- After the jypyter file loading, from the **cell** list on the toolbar click **Run All** </br>
        **Hints** </br>
        1-At the first running time, it takes time to install the dependences.</br>
        2-This an interactive RadViz package where you can make zoom, fillter lables, and rotate the 3D graph </br>
        3-This packge depends on the [plotly.py](https://plot.ly/python) packge</br>
        ### With Locally Installation
         
        1-install **RadViz Plotly** using this command</br>
        ```pip install RadViz-Plotly```
        </br>
        2- Download examples repository using this command </br>
        ```git clone  https://github.com/elewah/RadViz-Plotly-Examples.git``` </br>
        or Download by clicking [here](https://github.com/elewah/RadViz-Plotly-Examples/archive/master.zip) </br>
        3- Run these examples using jupyter labs to understand how to use RadViz-Plotly package
        
        ---
        ## Gallary
        <p align="center">
          <img src="ReadmePicture/Slide3.PNG" width="400" title="2D RadViz">
          <img src="ReadmePicture/Slide2.PNG" width="400" alt="accessibility text">
        </p>
        
        ## About
        The RadViz-Plotly is developed by a research group on the IoT lab at Ontario tech university. The Radviz-Plotly package has two functions, 2DRadViz that plots the 2D Radial visualization and 3DRadViz that plots Radial visualization, using the powerful interactive tools in Plotly library.
        
        ## Contact Us
         **Email:** abdelrahman.elewah@ontariotechu.net
         
        ## Copyright and Licenses
        
        Code released under the [MIT license](LICENSE).
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
