Metadata-Version: 2.1
Name: CorrPY
Version: 0.1.2
Summary: Correlation analysis tool with smart interpretation
Home-page: https://github.com/Parthdsaiml/corrpy
Author: YellowForest
License: BSD 3-Clause
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: IPython

# CorrPY - Correlation with Ease

## How to install this library

```cmd
pip install corrpy
```

## Basic Commands

1. Initialization

```python
from corrpy import Corrpy
```

This line imports the main class `Corrpy` which contains the main correlation calculation functionality

2. Using Instance

```python
corrpy = Corrpy()
```

This creates an instance of the `Corrpy` class which can then be used to perform all the correlation calculations

3. Getting Overview

```python
corrpy.getTotalCorrRelation(df)
```

This will return a dataframe that contains the correlation between each column in the dataframe. For now, Corrpy only supports pandas DataFrames

### Demo Result

![alt text](image.png)
