A stacked bar chart that displays multiple data series stacked on top of each other with total value labels prominently shown above each bar stack. This variant combines part-to-whole visualization with explicit numerical annotations, making it easy to read both individual segment contributions and cumulative totals at a glance. The total labels eliminate the need for mental arithmetic when comparing overall values across categories.
""" anyplot.ai
bar-stacked-labeled: Stacked Bar Chart with Total Labels
Library: bokeh 3.9.0 | Python 3.13.13
Quality: 90/100 | Updated: 2026-05-18
"""
import os
import time
from pathlib import Path
import numpy as np
from bokeh.io import output_file, save
from bokeh.models import ColumnDataSource, HoverTool, LabelSet
from bokeh.plotting import figure
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# Theme tokens (see prompts/default-style-guide.md)
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", "#BD8233"]
# Data - Quarterly revenue by product category
np.random.seed(42)
categories = ["Q1", "Q2", "Q3", "Q4"]
components = ["Electronics", "Clothing", "Home & Garden", "Sports"]
data = {
"Electronics": [45, 52, 48, 68],
"Clothing": [32, 38, 55, 72],
"Home & Garden": [28, 42, 38, 35],
"Sports": [18, 25, 32, 45],
}
# Calculate totals for labels
totals = [sum(data[comp][i] for comp in components) for i in range(len(categories))]
# Create figure with categorical x-axis
p = figure(
x_range=categories,
width=4800,
height=2700,
title="bar-stacked-labeled · Python · bokeh · anyplot.ai",
x_axis_label="Quarter",
y_axis_label="Revenue ($M)",
toolbar_location="right",
)
# Track bottom positions for stacking
bottoms = [0] * len(categories)
# Plot stacked bars
for _comp_idx, (comp, color) in enumerate(zip(components, IMPRINT, strict=True)):
tops = [b + v for b, v in zip(bottoms, data[comp], strict=True)]
source = ColumnDataSource(
data={
"categories": categories,
"values": data[comp],
"bottoms": bottoms.copy(),
"tops": tops,
"component": [comp] * len(categories),
}
)
bars = p.vbar(
x="categories",
top="tops",
bottom="bottoms",
width=0.7,
source=source,
color=color,
legend_label=comp,
line_color="white",
line_width=2,
)
# Add hover tool to show detailed segment information
hover = HoverTool(
renderers=[bars], tooltips=[("Quarter", "@categories"), ("Category", "@component"), ("Value", "@values M")]
)
p.add_tools(hover)
# Update bottoms for next stack
bottoms = tops.copy()
# Add total labels above each bar stack
label_source = ColumnDataSource(
data={
"x": categories,
"y": [t + 5 for t in totals], # Offset above bars
"text": [f"${t}M" for t in totals],
}
)
labels = LabelSet(
x="x",
y="y",
text="text",
source=label_source,
text_font_size="36pt",
text_font_style="bold",
text_color=INK,
text_align="center",
text_baseline="bottom",
)
p.add_layout(labels)
# Styling for large canvas (4800x2700)
p.title.text_font_size = "28pt"
p.title.text_color = INK
p.xaxis.axis_label_text_font_size = "22pt"
p.yaxis.axis_label_text_font_size = "22pt"
p.xaxis.axis_label_text_color = INK
p.yaxis.axis_label_text_color = INK
p.xaxis.major_label_text_font_size = "18pt"
p.yaxis.major_label_text_font_size = "18pt"
p.xaxis.major_label_text_color = INK_SOFT
p.yaxis.major_label_text_color = INK_SOFT
# Axis line styling
p.xaxis.axis_line_color = INK_SOFT
p.yaxis.axis_line_color = INK_SOFT
p.xaxis.major_tick_line_color = INK_SOFT
p.yaxis.major_tick_line_color = INK_SOFT
# Grid styling
p.xgrid.grid_line_color = None
p.ygrid.grid_line_color = INK
p.ygrid.grid_line_alpha = 0.10
# Legend styling - position in bottom left to avoid crowding labels
p.legend.location = "bottom_left"
p.legend.label_text_font_size = "18pt"
p.legend.label_text_color = INK_SOFT
p.legend.glyph_height = 35
p.legend.glyph_width = 35
p.legend.spacing = 12
p.legend.padding = 20
p.legend.background_fill_color = ELEVATED_BG
p.legend.background_fill_alpha = 0.95
p.legend.border_line_color = INK_SOFT
# Background colors (theme-adaptive)
p.background_fill_color = PAGE_BG
p.border_fill_color = PAGE_BG
p.outline_line_color = INK_SOFT
# Set y-axis range to accommodate labels
p.y_range.end = max(totals) + 30
# Save HTML (required for interactive library)
output_file(f"plot-{THEME}.html")
save(p)
# Screenshot with headless Chrome (Selenium)
W, H = 4800, 2700
opts = Options()
for arg in (
"--headless=new",
"--no-sandbox",
"--disable-dev-shm-usage",
"--disable-gpu",
f"--window-size={W},{H}",
"--hide-scrollbars",
):
opts.add_argument(arg)
driver = webdriver.Chrome(options=opts)
driver.set_window_size(W, H)
driver.get(f"file://{Path(f'plot-{THEME}.html').resolve()}")
time.sleep(3) # let bokeh's JS render the canvas
driver.save_screenshot(f"plot-{THEME}.png")
driver.quit()
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/bar-stacked-labeled/bokeh/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": "bar-stacked-labeled",
"language": "python",
"library": "bokeh",
"page": "https://anyplot.ai/bar-stacked-labeled/python/bokeh",
"hub": "https://anyplot.ai/bar-stacked-labeled",
"code_json": "https://api.anyplot.ai/specs/bar-stacked-labeled/bokeh/code",
"spec_json": "https://api.anyplot.ai/specs/bar-stacked-labeled",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/bar-stacked-labeled/python/bokeh/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/bar-stacked-labeled/python/bokeh/plot-dark.png",
"interactive_light_html": "https://storage.googleapis.com/anyplot-images/plots/bar-stacked-labeled/python/bokeh/plot-light.html",
"interactive_dark_html": "https://storage.googleapis.com/anyplot-images/plots/bar-stacked-labeled/python/bokeh/plot-dark.html",
"quality_score": 90.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Stacked Bar Chart with Total Labels on anyplot.ai.