Horizontal Bar Chart — lets-plot

A horizontal bar chart displaying categorical data with rectangular bars extending horizontally from the y-axis. The length of each bar is proportional to the value it represents. This orientation is particularly effective when category names are long or numerous, as horizontal labels are easier to read than rotated vertical labels. Horizontal bar charts excel at rankings, comparisons, and survey results visualization.

Horizontal Bar Chart rendered with lets-plot

Python source (lets-plot)

""" anyplot.ai
bar-horizontal: Horizontal Bar Chart
Library: letsplot 4.9.0 | Python 3.13.13
Quality: 88/100 | Updated: 2026-05-07
"""

import os

import pandas as pd
from lets_plot import *


LetsPlot.setup_html()

# 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"
RULE = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"

# Data - Programming language popularity survey results (sorted by value)
data = pd.DataFrame(
    {
        "language": ["JavaScript", "Python", "Java", "TypeScript", "C#", "C++", "PHP", "C", "Go", "Rust"],
        "developers": [65.36, 49.28, 35.35, 34.83, 29.81, 22.55, 20.87, 19.34, 13.24, 11.76],
    }
)

# Sort by value for better comparison (largest to smallest)
data = data.sort_values("developers", ascending=True)
data["language"] = pd.Categorical(data["language"], categories=data["language"].tolist(), ordered=True)

# Create horizontal bar chart
plot = (
    ggplot(data, aes(x="developers", y="language"))
    + geom_bar(stat="identity", fill="#009E73", width=0.65, alpha=0.85)
    + labs(x="Developers (%)", y="Programming Language", title="bar-horizontal · letsplot · anyplot.ai")
    + ggsize(1600, 900)
    + theme(
        plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
        panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
        panel_grid_major_x=element_line(color=RULE, size=0.3),
        panel_grid_major_y=element_blank(),
        panel_grid_minor=element_blank(),
        axis_title_x=element_text(size=20, color=INK),
        axis_title_y=element_text(size=20, color=INK),
        axis_text_x=element_text(size=16, color=INK_SOFT),
        axis_text_y=element_text(size=16, color=INK_SOFT),
        axis_line=element_line(color=INK_SOFT, size=0.5),
        plot_title=element_text(size=24, color=INK),
        legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT),
        legend_text=element_text(size=16, color=INK_SOFT),
        legend_title=element_text(size=16, color=INK),
    )
)

# Save as PNG (scale 3x for 4800 × 2700 px)
ggsave(plot, f"plot-{THEME}.png", path=".", scale=3)

# Save as HTML for interactivity
ggsave(plot, f"plot-{THEME}.html", path=".")

Part of Horizontal Bar Chart on anyplot.ai.

Horizontal Bar Chart — lets-plot

Python source (lets-plot)

Other implementations