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41 Python scripts generated for illustration diagram this week

Illustration Diagram

Chart overview

Illustration diagrams use basic shapes, lines, and text to create custom visualizations that explain concepts or structures.

Key points

  • They are particularly valuable in education and science communication where standard chart types don't capture the subject matter.

Example Visualization

Illustration diagram showing Earth layers with concentric circles

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Generate publication-ready illustration diagrams with AI in seconds. No coding required – just describe your data and let AI do the work.

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Example AI Prompt

"Create a cross-sectional illustration diagram showing 'Earth's Internal Structure' with accurate proportions. Display 4 main layers as concentric circles: Inner Core (solid iron, radius 1,220 km, yellow/orange), Outer Core (liquid iron, to 3,400 km, orange/red), Mantle (silicate rock, to 2,900 km from surface, brown/tan gradient), Crust (5-70 km thick, gray). Add callout lines with labels for each layer including: composition, state (solid/liquid), temperature range, and approximate depth. Include a scale bar showing depths in km. Add the atmosphere as a thin blue rim. Mark the Moho discontinuity and core-mantle boundary. Use realistic Earth colors. Title: 'Internal Structure of Earth (Not to Scale)'."

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1

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2

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3

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Python Code Example

example.py
# === IMPORTS ===
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# === USER-EDITABLE PARAMETERS ===
title = "Earth's Internal Structure"
figsize = (12, 12)

# === LAYER DATA ===
# Layer: (name, outer_radius_km, inner_radius_km, color, properties)
layers = [
    ('Atmosphere', 6471, 6371, '#87CEEB', '0-100 km, Gas'),
    ('Crust', 6371, 6341, '#8B4513', '0-30 km, Solid rock'),
    ('Upper Mantle', 6341, 5711, '#CD853F', '30-660 km, Semi-solid'),
    ('Lower Mantle', 5711, 3481, '#B8860B', '660-2890 km, Solid'),
    ('Outer Core', 3481, 1221, '#FF8C00', '2890-5150 km, Liquid iron'),
    ('Inner Core', 1221, 0, '#FFD700', '5150-6371 km, Solid iron'),
]

# Print summary
print("=== Earth's Internal Structure ===")
print(f"\nTotal Earth Radius: 6,371 km")
print(f"\nLayer Details:")
for name, outer, inner, color, props in layers:
    thickness = outer - inner
    print(f"  {name}: {props} (thickness: {thickness} km)")

# === CREATE ILLUSTRATION ===
fig, ax = plt.subplots(figsize=figsize)

# Draw layers from outside to inside
for name, outer_r, inner_r, color, props in layers:
    # Normalize to plot coordinates (max radius = 1)
    outer_norm = outer_r / 6471
    circle = plt.Circle((0.5, 0.5), outer_norm * 0.4, 
                         facecolor=color, edgecolor='white', linewidth=2)
    ax.add_patch(circle)

# Add labels with callouts
label_positions = [
    ('Atmosphere', 0.95, 0.85, 0.82, 0.82),
    ('Crust', 0.15, 0.88, 0.25, 0.78),
    ('Upper Mantle', 0.1, 0.65, 0.22, 0.62),
    ('Lower Mantle', 0.08, 0.42, 0.28, 0.45),
    ('Outer Core', 0.75, 0.25, 0.62, 0.38),
    ('Inner Core', 0.75, 0.55, 0.55, 0.52),
]

for name, lx, ly, px, py in label_positions:
    # Find layer info
    layer_info = next((l for l in layers if l[0] == name), None)
    if layer_info:
        ax.annotate(
            f'{name}\n{layer_info[4]}',
            xy=(px, py),
            xytext=(lx, ly),
            fontsize=9,
            fontweight='bold',
            ha='center',
            bbox=dict(boxstyle='round,pad=0.3', facecolor='white', alpha=0.9),
            arrowprops=dict(arrowstyle='->', color='black', lw=1.5)
        )

# Add scale bar
ax.plot([0.1, 0.35], [0.08, 0.08], 'k-', linewidth=3)
ax.text(0.225, 0.05, '~3,000 km', ha='center', fontsize=10)

# Title and labels
ax.set_title(title + '\n(Cross-section, not to scale)', fontsize=16, fontweight='bold', pad=20)

# Remove axes
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_aspect('equal')
ax.axis('off')

plt.tight_layout()
plt.show()
# END-OF-CODE

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Console Output

Output
=== Earth's Internal Structure ===

Total Earth Radius: 6,371 km

Layer Details:
  Atmosphere: 0-100 km, Gas (thickness: 100 km)
  Crust: 0-30 km, Solid rock (thickness: 30 km)
  Upper Mantle: 30-660 km, Semi-solid (thickness: 630 km)
  Lower Mantle: 660-2890 km, Solid (thickness: 2230 km)
  Outer Core: 2890-5150 km, Liquid iron (thickness: 2260 km)
  Inner Core: 5150-6371 km, Solid iron (thickness: 1221 km)

Common Use Cases

  • 1Educational content
  • 2Scientific explanations
  • 3Concept visualization
  • 4Technical documentation

Pro Tips

Use consistent visual language

Add clear labels and legends

Maintain proper proportions

Free Cheat Sheet

Scientific Chart Selection Cheat Sheet

Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.

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