Basic Bar Chart — Seaborn

A vertical bar chart that displays categorical data with rectangular bars whose heights are proportional to the values they represent. This fundamental visualization is ideal for comparing discrete categories and identifying which categories have the highest or lowest values. Bar charts excel at showing rankings, distributions across categories, and making relative comparisons intuitive.

Basic Bar Chart rendered with Seaborn

Python source (Seaborn)

""" anyplot.ai
bar-basic: Basic Bar Chart
Library: seaborn 0.13.2 | Python 3.13.13
Quality: 86/100 | Updated: 2026-05-28
"""

import os

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns


THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
BRAND = "#009E73"
ANYPLOT_AMBER = "#DDCC77"

sns.set_theme(
    style="ticks",
    rc={
        "figure.facecolor": PAGE_BG,
        "axes.facecolor": PAGE_BG,
        "axes.edgecolor": INK_SOFT,
        "axes.labelcolor": INK,
        "text.color": INK,
        "xtick.color": INK_SOFT,
        "ytick.color": INK_SOFT,
        "grid.color": INK,
        "grid.alpha": 0.15,
    },
)

# Data — average annual sunshine hours for major US cities
data = pd.DataFrame(
    {
        "city": ["Phoenix", "Miami", "Denver", "Boston", "Chicago", "Portland", "Seattle"],
        "sunshine_hours": [3872, 3154, 3110, 2634, 2508, 2341, 2170],
    }
)

# Highlight the Phoenix outlier with amber accent; all other bars stay brand green
palette = {city: (ANYPLOT_AMBER if city == "Phoenix" else BRAND) for city in data["city"]}

# Plot
fig, ax = plt.subplots(figsize=(8, 4.5), dpi=400, facecolor=PAGE_BG)
ax.set_facecolor(PAGE_BG)
sns.barplot(data=data, x="city", y="sunshine_hours", hue="city", palette=palette, legend=False, width=0.65, ax=ax)

# Value labels on bars
for container in ax.containers:
    ax.bar_label(container, fmt="%d", fontsize=10, color=INK_SOFT, padding=3)

# Style
ax.set_xlabel("City", fontsize=10, color=INK)
ax.set_ylabel("Sunshine Hours per Year", fontsize=10, color=INK)
title = "Annual Sunshine Hours · bar-basic · python · seaborn · anyplot.ai"
ax.set_title(title, fontsize=12, fontweight="medium", color=INK, pad=12)
ax.tick_params(axis="both", labelsize=8, colors=INK_SOFT)
sns.despine(ax=ax, top=True, right=True)
ax.spines["left"].set_color(INK_SOFT)
ax.spines["bottom"].set_color(INK_SOFT)
ax.yaxis.grid(True, alpha=0.15, linewidth=0.8, color=INK)
ax.set_axisbelow(True)
ax.set_ylim(0, data["sunshine_hours"].max() * 1.12)

fig.subplots_adjust(left=0.10, right=0.97, top=0.90, bottom=0.12)
plt.savefig(f"plot-{THEME}.png", dpi=400, facecolor=PAGE_BG)

Part of Basic Bar Chart on anyplot.ai.

Other implementations