Metadata-Version: 2.1
Name: CCC-DoU
Version: 0.0.1
Summary: Chatterjee Correlation coefficient calculator with p-value
Home-page: https://github.com/Partha0312bio/CCC_DU
Author: Shubhabrata Dokal
License: UNKNOWN
Keywords: Chatterjee Correlation Coefficient,non linear correlation calculation ,
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
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: pandas

# Chatterjee Correlation Coefficient in Python

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

[Tutorial of Publishing Python Package](https://youtu.be/7AF3HvKz070)

## Usage

- Make sure you have Python installed in your system.
- Run Following command in the CMD.
 ```
  pip install CCC_DoU
  ```
## Example

 ```
# test.py
from CCC_DoU import CCC

## Taking the Dataset and calculate the Chaterjee Correlation Coefficient.
x=np.random.uniform(-2,2,100)
y=sin(2*x+3)

# Calculate CCC
CC=CCC(x,y)
  ```

## Run the following Script.
 ```
  python test.py
 ```





