Annotated Scatter Plot with Text Labels — Matplotlib

A scatter plot where each data point can have a text label annotation, useful for identifying specific points of interest. This visualization enhances basic scatter plots by adding contextual information directly on the chart, making it easy to highlight outliers, named entities, or key data points that deserve special attention.

Annotated Scatter Plot with Text Labels rendered with Matplotlib

Python source (Matplotlib)

""" anyplot.ai
scatter-annotated: Annotated Scatter Plot with Text Labels
Library: matplotlib 3.10.9 | Python 3.13.13
Quality: 87/100 | Updated: 2026-05-13
"""

import os

import matplotlib.pyplot as plt
import numpy as np


# 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"
BRAND = "#009E73"

# Data - Technology companies with market cap and revenue
companies = [
    "TechCorp",
    "DataSys",
    "CloudNet",
    "ByteWorks",
    "QuantumAI",
    "NexGen",
    "CyberFlow",
    "InfoPrime",
    "CodeLabs",
    "DigiCore",
    "NetSphere",
    "AlgoTech",
    "VisionX",
    "PulseTech",
    "ZetaLogic",
]
market_cap = np.array([55, 135, 105, 18, 225, 70, 120, 45, 165, 85, 30, 195, 150, 175, 60])
revenue = np.array([12, 42, 30, 4, 65, 18, 38, 10, 52, 24, 6, 58, 45, 50, 15])

# Plot
fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)
ax.set_facecolor(PAGE_BG)

ax.scatter(market_cap, revenue, s=250, alpha=0.7, color=BRAND, edgecolors=PAGE_BG, linewidths=2, zorder=3)

# Custom annotation offsets to avoid overlap
offsets = [
    (10, -10),
    (-10, 8),
    (10, 8),
    (-10, -12),
    (10, 8),
    (-10, 8),
    (10, -10),
    (10, -10),
    (-12, 8),
    (10, 8),
    (-10, -10),
    (10, -12),
    (10, 8),
    (10, 10),
    (-10, -10),
]

# Annotate each point
for i, company in enumerate(companies):
    x_offset, y_offset = offsets[i]
    ha = "left" if x_offset > 0 else "right"

    ax.annotate(
        company,
        xy=(market_cap[i], revenue[i]),
        xytext=(x_offset, y_offset),
        textcoords="offset points",
        fontsize=13,
        color=INK,
        fontweight="medium",
        ha=ha,
        va="center",
        arrowprops={"arrowstyle": "-", "color": INK_SOFT, "lw": 1, "connectionstyle": "arc3,rad=0"},
        zorder=4,
    )

# Style
ax.set_xlabel("Market Capitalization ($ Billions)", fontsize=20, color=INK)
ax.set_ylabel("Annual Revenue ($ Billions)", fontsize=20, color=INK)
ax.set_title("scatter-annotated · matplotlib · anyplot.ai", fontsize=24, color=INK)
ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT)
ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False)
for s in ("left", "bottom"):
    ax.spines[s].set_color(INK_SOFT)
ax.yaxis.grid(True, alpha=0.15, linewidth=0.8, color=INK)

ax.set_xlim(0, 240)
ax.set_ylim(0, 70)

plt.tight_layout()
plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)

Part of Annotated Scatter Plot with Text Labels on anyplot.ai.

Annotated Scatter Plot with Text Labels — Matplotlib

Python source (Matplotlib)

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