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.

This project uses Python >= 3.6.

pip install corregraphe

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:

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

This project is licensed under the MIT License.