The same plot in 14 other libraries — Python: Altair, Bokeh, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 15 side by side: Chartgeist-Style Venn Diagram with Labeled Items in Python, R, Julia and JavaScript.
An editorial, WIRED "Chartgeist"-style three-circle Venn diagram where pop-culture items — products, people, trends, apps — are plotted as labeled points inside each zone rather than represented as numeric counts. Three overlapping circles define witty, opinionated categories (e.g., "Overhyped", "Actually Useful", "Secretly Loved"), and each item lives in exactly one of the seven interior regions (or outside all circles). Unlike a classic proportional Venn, the "data" here is categorical set-membership plus a human label, making the plot ideal for commentary, taxonomy, and discussion rather than quantitative analysis.
""" anyplot.ai
venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items
Library: letsplot 4.11.0 | Python 3.14.9
Quality: 81/100 | Updated: 2026-10-31
"""
import os
import numpy as np
import pandas as pd
from lets_plot import (
LetsPlot,
aes,
coord_fixed,
element_rect,
geom_polygon,
geom_text,
ggplot,
ggsave,
ggsize,
theme,
theme_void,
)
LetsPlot.setup_html()
# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
# Imprint palette: all eight positions, one per circle in order
IMPRINT_PALETTE = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477", "#99B314"]
# Constants: the standard symmetric three-circle layout
RADIUS = 1.5
CENTERS = [(-0.85, 0.50), (0.85, 0.50), (0.00, -1.00)] # circles A, B, C
NAME_OFFSETS = [(-1.55, 1.45), (1.55, 1.45), (0.00, -1.85)] # category name, from each circle's center
NAME_HJUST = [1.0, 0.0, 0.5] # aligned away from the diagram's center
OUTSIDE = "outside"
MARGIN_X = 1.95 # empty space left and right of the circles
NAME_ZONE = "name " # zone prefix of a row that holds a circle's category name
# Columns: set these to your table's column names
LABEL = "label" # role: label
ZONE = "zone" # role: zone
X = "x" # role: extra
Y = "y" # role: extra
# Data: replace this block with your own table, for example df = pd.read_csv("items.csv")
# Zone codes: A, B, C, AB, AC, BC, ABC or outside; x and y are the label's place inside its zone
df = pd.DataFrame(
[
("Overhyped", NAME_ZONE + "A", np.nan, np.nan),
("Actually Useful", NAME_ZONE + "B", np.nan, np.nan),
("Secretly Loved", NAME_ZONE + "C", np.nan, np.nan),
("NFTs", "A", -1.75, 1.05),
("Metaverse", "A", -1.80, 0.55),
("Smart Fridges", "A", -1.70, 0.05),
("Google Maps", "B", 1.75, 1.05),
("Spreadsheets", "B", 1.80, 0.55),
("Calendar Apps", "B", 1.70, 0.05),
("Roller Skating", "C", -0.75, -2.05),
("Soap Operas", "C", 0.75, -2.05),
("ChatGPT", "AB", 0.00, 1.20),
("Smartwatches", "AB", 0.00, 0.85),
("Crocs", "AC", -1.05, -0.20),
("Vinyl Records", "AC", -1.00, -0.60),
("Dolly Parton", "BC", 1.05, -0.20),
("Spotify", "BC", 1.00, -0.60),
("Sourdough", "ABC", 0.00, 0.15),
("TikTok", "ABC", 0.00, -0.30),
("Beige Walls", OUTSIDE, -3.10, -2.50),
],
columns=[LABEL, ZONE, X, Y],
)
# Plot: reads only df and the constants above
theta = np.linspace(0, 2 * np.pi, 240)
centers = np.array(CENTERS)
half = centers[:, 0].max() + RADIUS + MARGIN_X
mid_y = (centers[:, 1].min() - RADIUS + centers[:, 1].max() + RADIUS) / 2
xlim = [-half, half]
ylim = [mid_y - half, mid_y + half] # square panel: fills the square canvas
is_name = df[ZONE].str.startswith(NAME_ZONE)
names = df[is_name].drop_duplicates(ZONE)
items = df[~is_name]
plot = ggplot() + coord_fixed(xlim=xlim, ylim=ylim)
# Three overlapping circles with semi-transparent fills
for i, (cx, cy) in enumerate(CENTERS):
circle_df = pd.DataFrame({X: cx + RADIUS * np.cos(theta), Y: cy + RADIUS * np.sin(theta)})
plot += geom_polygon(
aes(x=X, y=Y), data=circle_df, fill=IMPRINT_PALETTE[i], color=IMPRINT_PALETTE[i], alpha=0.22, size=0.7
)
# Item labels (serif, INK)
plot += geom_text(aes(x=X, y=Y, label=LABEL), data=items, size=4.5, family="serif", color=INK)
# Category names outside each circle, in the circle's color
for i, name in enumerate(names[LABEL]):
dx, dy = NAME_OFFSETS[i]
plot += geom_text(
x=CENTERS[i][0] + dx,
y=CENTERS[i][1] + dy,
label=name,
size=7,
family="serif",
fontface="bold",
color=IMPRINT_PALETTE[i],
hjust=NAME_HJUST[i],
)
# Hint above the outside items
outside = items[items[ZONE] == OUTSIDE]
if len(outside):
plot += geom_text(
x=outside[X].mean(),
y=outside[Y].max() + 0.30,
label="(neither here nor there)",
size=3.5,
family="serif",
fontface="italic",
color=INK_MUTED,
hjust=0.5,
)
# Editorial kicker + canonical anyplot.ai title line
mid = sum(xlim) / 2
plot += geom_text(
x=mid, y=ylim[1] - 0.30, label="Chartgeist 2026", size=9, family="serif", fontface="bold_italic", color=INK
)
plot += geom_text(
x=mid, y=ylim[1] - 0.80, label="venn-labeled-items · letsplot · anyplot.ai", size=4, family="serif", color=INK_MUTED
)
# Style: gridless editorial background
plot += theme_void() + theme(
plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
legend_position="none",
)
plot += ggsize(600, 600)
# Save
ggsave(plot, f"plot-{THEME}.png", path=".", scale=4)
ggsave(plot, f"plot-{THEME}.html", path=".")
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/venn-labeled-items/letsplot/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-labeled-items",
"language": "python",
"library": "letsplot",
"page": "https://anyplot.ai/venn-labeled-items/python/letsplot",
"hub": "https://anyplot.ai/venn-labeled-items",
"code_json": "https://api.anyplot.ai/specs/venn-labeled-items/letsplot/code",
"spec_json": "https://api.anyplot.ai/specs/venn-labeled-items",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/letsplot/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/letsplot/plot-dark.png",
"interactive_light_html": "https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/letsplot/plot-light.html",
"interactive_dark_html": "https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/letsplot/plot-dark.html",
"quality_score": 81.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Chartgeist-Style Venn Diagram with Labeled Items on anyplot.ai.