semvec/pypi-packages huggingface dataset:
corregraphe 0.1.1
Correlation graphs with NetworkX
License: MIT
Requires Python: >= 3.6

# corregraphe

Correlation graphs are a great way to visualize and understand the relationship between features of tabular datasets.

This package leverages NetworkX, Scipy and HoloViews to easily draw correlation graphs on any Pandas DataFrame.

Works on numerical columns only for now.

## Installation

This project uses Python >= 3.6.

```
pip install corregraphe
```

## Usage

Example on the Titanic dataset:

```python
import pandas as pd
from corregraphe import CorrelationGraph
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv")
cg = CorrelationGraph(df)
cg.draw()
```

Drawing gives this Bokeh figure:

<img src="example.png" width="400">

## Developer's guide

- checked with `mypy` and `flake8`
- formatted with `black` and `isort`
- basic functionality is tested with `doctest` by running `python corregraphe/core.py`

## License

This project is licensed under the MIT License.

MIT License

Copyright (c) 2019 Théo Delecour

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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SOFTWARE.