corregraphe 0.1.1

Correlation graphs with NetworkX

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:

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:

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 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.