Exports publication-ready figures in various formats with proper resolution, sizing, and typography. Use when preparing figures for journal submission, creating vector graphics for presentations, or ensuring consistent figure styling across analyses.
Reference examples tested with: ggplot2 3.5+, matplotlib 3.8+
Before using code patterns, verify installed versions match. If versions differ:
pip show <package> then help(module.function) to check signaturespackageVersion('<pkg>') then ?function_name to verify parametersIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
"Export figures for publication" → Save plots as high-resolution PDF/SVG/TIFF with journal-required DPI and dimensions.
fig.savefig('fig.pdf', dpi=300, bbox_inches='tight')ggsave('fig.pdf', width=7, height=5, units='in')import matplotlib.pyplot as plt
# Set publication defaults
plt.rcParams.update({
'font.size': 8,
'font.family': 'Arial',
'axes.linewidth': 0.5,
'lines.linewidth': 1,
'figure.dpi': 300
})
fig, ax = plt.subplots(figsize=(3.5, 3)) # Single column width
# ... create plot ...
# Save in multiple formats
fig.savefig('figure1.pdf', bbox_inches='tight', dpi=300)
fig.savefig('figure1.png', bbox_inches='tight', dpi=300)
fig.savefig('figure1.svg', bbox_inches='tight')
library(ggplot2)
p <- ggplot(data, aes(x, y)) + geom_point() +
theme_classic(base_size = 8) +
theme(text = element_text(family = 'Arial'))
# PDF for vector graphics
ggsave('figure1.pdf', p, width = 3.5, height = 3, units = 'in')
# High-res PNG
ggsave('figure1.png', p, width = 3.5, height = 3, units = 'in', dpi = 300)
# TIFF (some journals require)
ggsave('figure1.tiff', p, width = 3.5, height = 3, units = 'in',
dpi = 300, compression = 'lzw')
| Journal Type | Format | Resolution | Width |
|---|---|---|---|
| Most journals | PDF/EPS | Vector | 3.5" (1-col), 7" (2-col) |
| Online-only | PNG | 300 DPI | Variable |
| TIFF | 300-600 DPI | Column width |
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
fig = plt.figure(figsize=(7, 5)) # Two-column width
gs = GridSpec(2, 3, figure=fig)
ax1 = fig.add_subplot(gs[0, 0])
ax2 = fig.add_subplot(gs[0, 1:])
ax3 = fig.add_subplot(gs[1, :])
# Add panel labels
for ax, label in zip([ax1, ax2, ax3], ['A', 'B', 'C']):
ax.text(-0.1, 1.1, label, transform=ax.transAxes,
fontsize=10, fontweight='bold')
fig.savefig('figure_multipanel.pdf', bbox_inches='tight')