Venn Diagram — Matplotlib

A Venn diagram visualizes the logical relationships between two or three sets using overlapping circles. Each circle represents a set, and overlapping regions show elements shared between sets. This classic visualization is ideal for showing intersections, unions, and exclusive memberships, making abstract set relationships immediately intuitive.

Venn Diagram rendered with Matplotlib

Renders

Python source (Matplotlib)

""" anyplot.ai
venn-basic: Venn Diagram
Library: matplotlib 3.10.9 | Python 3.13.13
Quality: 92/100 | Updated: 2026-05-11
"""

import os
import matplotlib.pyplot as plt
from matplotlib_venn import venn3

# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"

# Okabe-Ito palette
IMPRINT = ["#009E73", "#C475FD", "#4467A3"]

# Data: Developer survey - programming language proficiency
# venn3 expects: (Abc, aBc, ABc, abC, AbC, aBC, ABC)
only_a = 40  # Only Python
only_b = 25  # Only JavaScript
a_and_b = 20  # Python + JavaScript (not SQL)
only_c = 15  # Only SQL
a_and_c = 10  # Python + SQL (not JavaScript)
b_and_c = 15  # JavaScript + SQL (not Python)
a_and_b_and_c = 10  # All three

# Plot
fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)
ax.set_facecolor(PAGE_BG)

# Create Venn diagram with subset sizes
venn = venn3(
    subsets=(only_a, only_b, a_and_b, only_c, a_and_c, b_and_c, a_and_b_and_c),
    set_labels=("Python", "JavaScript", "SQL"),
    ax=ax,
    alpha=0.6,
    set_colors=IMPRINT,
)

# Style circle labels (set names)
for text in venn.set_labels:
    if text:
        text.set_fontsize(24)
        text.set_fontweight("bold")
        text.set_color(INK)

# Style subset labels (numbers in regions)
for text in venn.subset_labels:
    if text:
        text.set_fontsize(20)
        text.set_fontweight("bold")
        text.set_color(INK)

ax.set_title(
    "venn-basic · matplotlib · anyplot.ai",
    fontsize=24,
    fontweight="medium",
    color=INK,
    pad=20,
)

plt.tight_layout()
plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)

Retrieve this implementation

Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/venn-basic/matplotlib/code. Any spec id and library id listed in llms-full.txt fit the same URL shape; every URL below is complete and callable.

{
  "spec_id": "venn-basic",
  "language": "python",
  "library": "matplotlib",
  "page": "https://anyplot.ai/venn-basic/python/matplotlib",
  "hub": "https://anyplot.ai/venn-basic",
  "code_json": "https://api.anyplot.ai/specs/venn-basic/matplotlib/code",
  "spec_json": "https://api.anyplot.ai/specs/venn-basic",
  "render_light_png": "https://storage.googleapis.com/anyplot-images/plots/venn-basic/python/matplotlib/plot-light.png",
  "render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/venn-basic/python/matplotlib/plot-dark.png",
  "quality_score": 92.0,
  "license": "MIT",
  "guide": "https://anyplot.ai/llms.txt"
}

Part of Venn Diagram on anyplot.ai.

Other implementations