A stacked area chart displays multiple data series as areas stacked on top of each other, with each series starting where the previous one ends. This visualization emphasizes both individual contributions and cumulative totals over a continuous axis (typically time). It is ideal for showing how parts contribute to a whole while tracking changes over time, making patterns of composition and overall trends immediately visible.
""" anyplot.ai
area-stacked: Stacked Area Chart
Library: pygal 3.1.0 | Python 3.13.13
Quality: 92/100 | Updated: 2026-05-07
"""
import os
import pygal
from pygal.style import Style
# Theme tokens (see prompts/default-style-guide.md)
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"
# Okabe-Ito palette (first series is always #009E73)
IMPRINT = ("#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477")
# Data - Monthly revenue by product category over 2 years (2023-2024)
months = [
"Jan'23",
"Feb'23",
"Mar'23",
"Apr'23",
"May'23",
"Jun'23",
"Jul'23",
"Aug'23",
"Sep'23",
"Oct'23",
"Nov'23",
"Dec'23",
"Jan'24",
"Feb'24",
"Mar'24",
"Apr'24",
"May'24",
"Jun'24",
"Jul'24",
"Aug'24",
"Sep'24",
"Oct'24",
"Nov'24",
"Dec'24",
]
# Revenue in thousands ($K) - ordered from largest at bottom
electronics = [
120,
115,
130,
125,
140,
155,
160,
175,
165,
180,
210,
245,
135,
125,
145,
150,
165,
180,
185,
195,
190,
205,
235,
270,
]
clothing = [
85,
80,
90,
95,
105,
100,
95,
90,
100,
115,
145,
165,
95,
85,
100,
110,
120,
115,
110,
105,
120,
135,
170,
190,
]
home_garden = [45, 40, 55, 70, 85, 90, 95, 85, 65, 50, 45, 40, 50, 45, 60, 80, 95, 105, 110, 95, 75, 55, 50, 45]
books = [30, 35, 32, 28, 25, 22, 20, 35, 45, 40, 55, 70, 32, 38, 35, 30, 27, 24, 22, 38, 50, 45, 60, 78]
# Custom style for large canvas (4800x2700)
custom_style = Style(
background=PAGE_BG,
plot_background=PAGE_BG,
foreground=INK,
foreground_strong=INK,
foreground_subtle=INK_MUTED,
opacity=".85",
opacity_hover=".95",
colors=IMPRINT,
title_font_size=28,
label_font_size=22,
major_label_font_size=18,
legend_font_size=16,
value_font_size=14,
stroke_width=3,
)
# Create stacked area chart
chart = pygal.StackedLine(
width=4800,
height=2700,
style=custom_style,
title="area-stacked · pygal · anyplot.ai",
x_title="Month",
y_title="Revenue ($K)",
fill=True,
show_y_guides=True,
show_x_guides=False,
x_label_rotation=45,
legend_at_bottom=True,
legend_box_size=30,
truncate_legend=-1,
show_dots=False,
stroke_style={"width": 2},
margin=50,
margin_bottom=120,
spacing=40,
)
# Add x-axis labels
chart.x_labels = months
# Add series (largest at bottom for easier reading)
chart.add("Electronics", electronics)
chart.add("Clothing", clothing)
chart.add("Home & Garden", home_garden)
chart.add("Books", books)
# Save as PNG and HTML with theme-suffixed names
chart.render_to_png(f"plot-{THEME}.png")
with open(f"plot-{THEME}.html", "wb") as f:
f.write(chart.render())
Part of Stacked Area Chart on anyplot.ai.