VennFan

Overview

We introduce VennFan, a method for generating n-set Venn diagrams based on the polar coordinate projection of trigonometric boundaries, resulting in Venn diagrams that resemble a set of fan blades.

This module provides a function for creating VennFan Matplotlib figures for up to nine classes.

Sine	Cosine

Installation

pip install vennfan

Usage

Basic Usage

import numpy as np
import matplotlib.pyplot as plt

from vennfan import vennfan

# Fill a 4D 2x2x2x2x2x2 array with random values
rand6 = np.random.randint(0, 1000, size=(2, 2, 2, 2, 2, 2))
    
# Set the value at A∩B∩C to 42
rand6[1,1,1,0,0,0] = 42

# Create the Venn-diagram
fig = vennfan(rand6, ["A", "B", "C", "D", "E", "F"])

# Save the figure
fig.savefig("rand6_demo.png", dpi=100, bbox_inches="tight")
plt.close(fig)

Optional Parameters

Core data

Geometry / boundary curves

Colors

Highlight

Font sizes / text fitting

Layout / resolution

Region label placement

"visual_text_center"	"visual_center"	"radial"	"hybrid"

How to Cite

@misc{csanády2026newperspectivedrawingvenn,
      title={A New Perspective on Drawing Venn Diagrams for Data Visualization}, 
      author={Bálint Csanády},
      year={2026},
      eprint={2601.06980},
      archivePrefix={arXiv},
      primaryClass={cs.GR},
      url={https://arxiv.org/abs/2601.06980}, 
}

License

This project is licensed under the MIT License (c) 2025 Bálint Csanády, aielte-research. See the LICENSE file for details.