Compose 2D graphics programmatically using SVG generation, diagram layout algorithms, image compositing, and batch processing workflows. Use when generating diagrams, flowcharts, or infographics programmatically, creating reproducible scientific figures, automating production of badges or visual assets, building custom chart types not in standard libraries, or batch generating graphics with parameter variations.
Scanned 9/3/2026
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---
name: create-2d-composition
locale: caveman-ultra
source_locale: en
source_commit: "75ded7a1"
fence_basis_commit: 75ded7a1
translator: "Julius Brussee homage — caveman"
translation_date: "2026-04-19"
description: >
Compose 2D graphics programmatically using SVG generation, diagram layout
algorithms, image compositing, and batch processing workflows. Use when
generating diagrams, flowcharts, or infographics programmatically, creating
reproducible scientific figures, automating production of badges or visual
assets, building custom chart types not in standard libraries, or batch
generating graphics with parameter variations.
license: MIT
allowed-tools: Read Write Edit Bash Grep Glob
metadata:
author: Philipp Thoss
version: "1.0"
domain: visualization
complexity: intermediate
language: Python
tags: svg, 2d, graphics, composition, diagrams, scripting, batch-processing
---
# Create 2D Composition
2D graphics via SVG + layout + compositing + batch → charts, diagrams, infographics.
## Use When
- Diagrams/flowcharts/infographics programmatic
- Repro scientific figures
- Auto badges/icons/assets
- Composite imgs / data viz
- Custom chart types (not in libs)
- Batch gen w/ param variations
- SVG templates web/print
## In
| In | Type | Desc | Example |
|---|---|---|---|
| Layout spec | Config | Dims, margins, grid | 800x600px canvas, 20px margins |
| Visual elements | Data/Assets | Shapes, text, imgs, pts | Rect coords, labels, icons |
| Style params | CSS/Attrs | Colors, fonts, stroke, opacity | `fill="#3366cc"`, `stroke-width="2"` |
| Data sources | Files/Arrays | Values → viz | CSV, JSON config |
| Out format | String | SVG/PNG/PDF | `output.svg`, 300 DPI PNG |
## Do
### 1. Python Env Setup
```bash
# Core libraries
pip install svgwrite pillow cairosvg
# Optional: advanced features
pip install drawsvg reportlab pycairo
# For data-driven graphics
pip install matplotlib numpy pandas
```
**Got:** Libs installed
**If err:** Check Python 3.7+, use venv
### 2. Basic SVG
```python
import svgwrite
from svgwrite import cm, mm
def create_basic_svg(output_path):
"""Create a simple SVG graphic."""
# Initialize drawing (use mm for precise dimensions)
dwg = svgwrite.Drawing(output_path, size=('180mm', '120mm'), profile='full')
# Add background rectangle
dwg.add(dwg.rect(
insert=(0, 0),
size=('100%', '100%'),
fill='white'
))
# Add shapes
dwg.add(dwg.circle(
center=(90*mm, 60*mm),
r=30*mm,
fill='lightblue',
stroke='navy',
stroke_width=2
))
dwg.add(dwg.rect(
insert=(30*mm, 30*mm),
size=(60*mm, 40*mm),
fill='lightgreen',
stroke='darkgreen',
stroke_width=2,
rx=5, # Rounded corners
ry=5
))
# Add text
dwg.add(dwg.text(
'Example Graphic',
insert=(90*mm, 20*mm),
text_anchor='middle',
font_size='18pt',
font_family='Arial',
fill='black'
))
dwg.save()
print(f"Saved: {output_path}")
```
**Got:** SVG w/ shapes + text
**If err:** Check svgwrite ver, out dir writable
### 3. Diagram Layout
```python
def create_flowchart(steps, output_path):
"""Generate a flowchart from list of steps."""
dwg = svgwrite.Drawing(output_path, size=('800px', '600px'))
# Layout parameters
box_width = 120
box_height = 60
spacing_y = 100
start_x = 340
start_y = 50
for i, step in enumerate(steps):
y_pos = start_y + i * spacing_y
# Draw box
box = dwg.add(dwg.g(id=f'step_{i}'))
box.add(dwg.rect(
insert=(start_x, y_pos),
size=(box_width, box_height),
fill='lightblue',
stroke='navy',
stroke_width=2,
rx=5,
ry=5
))
# Add text (wrapped if needed)
text_lines = wrap_text(step, max_width=16)
text_y = y_pos + box_height/2 - (len(text_lines)-1) * 7
for j, line in enumerate(text_lines):
box.add(dwg.text(
line,
insert=(start_x + box_width/2, text_y + j*14),
text_anchor='middle',
font_size='12pt',
font_family='Arial',
fill='black'
))
# Draw arrow to next step
if i < len(steps) - 1:
arrow_start_y = y_pos + box_height
arrow_end_y = y_pos + spacing_y
dwg.add(dwg.line(
start=(start_x + box_width/2, arrow_start_y),
end=(start_x + box_width/2, arrow_end_y),
stroke='black',
stroke_width=2,
marker_end=dwg.marker(
id='arrow',
viewBox='0 0 10 10',
refX=5,
refY=5,
markerWidth=6,
markerHeight=6,
orient='auto'
)
))
dwg.save()
def wrap_text(text, max_width=20):
"""Simple text wrapping."""
words = text.split()
lines = []
current_line = []
for word in words:
test_line = ' '.join(current_line + [word])
if len(test_line) <= max_width:
current_line.append(word)
else:
if current_line:
lines.append(' '.join(current_line))
current_line = [word]
if current_line:
lines.append(' '.join(current_line))
return lines
```
**Got:** Flowchart w/ boxes + arrows
**If err:** Adjust layout calc, verify arrow markers
### 4. Composite Raster
Full Pillow composite (grid/horiz/vert + annotate) → [references/EXAMPLES.md](../../../../skills/create-2d-composition/references/EXAMPLES.md).
**Got:** Composite img w/ layout
**If err:** Check inputs exist, img modes compat
### 5. Data-Driven Graphics
```python
import numpy as np
def create_bar_chart_svg(data, labels, output_path):
"""Generate SVG bar chart from data."""
dwg = svgwrite.Drawing(output_path, size=('600px', '400px'))
# Chart area
margin = 50
chart_width = 500
chart_height = 300
bar_spacing = 10
# Calculate bar dimensions
n_bars = len(data)
bar_width = (chart_width - (n_bars - 1) * bar_spacing) / n_bars
# Scale data to fit chart
max_value = max(data)
scale = chart_height / max_value
# Draw axes
dwg.add(dwg.line(
start=(margin, margin),
end=(margin, margin + chart_height),
stroke='black',
stroke_width=2
))
dwg.add(dwg.line(
start=(margin, margin + chart_height),
end=(margin + chart_width, margin + chart_height),
stroke='black',
stroke_width=2
))
# Draw bars
for i, (value, label) in enumerate(zip(data, labels)):
x = margin + i * (bar_width + bar_spacing)
bar_height = value * scale
y = margin + chart_height - bar_height
# Bar
dwg.add(dwg.rect(
insert=(x, y),
size=(bar_width, bar_height),
fill='steelblue',
stroke='navy',
stroke_width=1
))
# Value label
dwg.add(dwg.text(
f'{value:.1f}',
insert=(x + bar_width/2, y - 5),
text_anchor='middle',
font_size='10pt',
fill='black'
))
# X-axis label
dwg.add(dwg.text(
label,
insert=(x + bar_width/2, margin + chart_height + 20),
text_anchor='middle',
font_size='10pt',
fill='black'
))
dwg.save()
```
**Got:** SVG bar chart scaled
**If err:** Handle edge cases (empty, neg), add validate
### 6. Batch Gen
```python
def batch_generate_badges(users, template_path, output_dir):
"""Generate badge for each user."""
os.makedirs(output_dir, exist_ok=True)
for user in users:
output_path = os.path.join(output_dir, f"{user['id']}_badge.svg")
dwg = svgwrite.Drawing(output_path, size=('300px', '100px'))
# Background
dwg.add(dwg.rect(
insert=(0, 0),
size=('100%', '100%'),
fill='#3366cc',
rx=10,
ry=10
))
# User name
dwg.add(dwg.text(
user['name'],
insert=(150, 40),
text_anchor='middle',
font_size='20pt',
font_weight='bold',
fill='white'
))
# User role
dwg.add(dwg.text(
user['role'],
insert=(150, 70),
text_anchor='middle',
font_size='14pt',
fill='lightblue'
))
dwg.save()
print(f"Generated badge: {output_path}")
```
**Got:** Per-item graphic gen
**If err:** Check data struct, defaults for missing
### 7. SVG → Raster
```python
import cairosvg
def svg_to_png(svg_path, png_path, dpi=300):
"""Convert SVG to PNG with specified DPI."""
# Calculate pixel dimensions from DPI
# Assuming A4 size as example
width_inches = 8.27
height_inches = 11.69
width_px = int(width_inches * dpi)
height_px = int(height_inches * dpi)
cairosvg.svg2png(
url=svg_path,
write_to=png_path,
output_width=width_px,
output_height=height_px
)
print(f"Converted to PNG: {png_path}")
def svg_to_pdf(svg_path, pdf_path):
"""Convert SVG to PDF."""
cairosvg.svg2pdf(url=svg_path, write_to=pdf_path)
print(f"Converted to PDF: {pdf_path}")
```
**Got:** Raster out @ res
**If err:** Install cairo sys lib, check SVG valid
## Check
- [ ] Graphics render in target apps
- [ ] Text readable + positioned
- [ ] Colors match (hex)
- [ ] Dims fit use case
- [ ] SVG validates (if req)
- [ ] Raster DPI correct
- [ ] Layout adapts to data
- [ ] Batch completes no err
- [ ] Out files organized
- [ ] Err handling in code
## Traps
1. **Unit confusion**: SVG units (px, mm, cm) vs screen px vs print DPI
2. **Text overflow**: Text exceeds shape → wrap
3. **Font avail**: Sys fonts differ → embed / web-safe
4. **Coord calc**: Off-by-one in grids
5. **Color fmt**: SVG hex (`#rrggbb`), not tuples
6. **SVG valid**: XML struct, close tags
7. **File paths**: Special chars, spaces
8. **Memory**: Large batch → chunk
9. **Aspect ratio**: Preserve on resize
10. **Transparency**: PNG alpha, JPEG not
## →
- **[render-publication-graphic](../render-publication-graphic/SKILL.md)**: Publication out reqs
- **[create-3d-scene](../../blender/create-3d-scene/SKILL.md)**: 3D variant
- **[generate-quarto-report](../../reporting/generate-quarto-report/SKILL.md)**: Graphics in reports
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