skunk 
Insert SVGs into matplotlib
pip install skunk
Jupyter Notebooks
To show generated SVGs in Jupyter Notebooks: Currently, axes are cutoff when viewed in jupyter - I think due to restrictive viewport. Save to file to get publication ready version
skunk.display(svg)
Overwrite Subplot
import skunk
import numpy as np
import os
import matplotlib.pyplot as plt
fig, axs = plt.subplots(ncols=2)
x = np.linspace(0, 2 * np.pi)
axs[0].plot(x, np.sin(x))
# important line where we set ID
skunk.connect(axs[1], 'sk')
plt.tight_layout()
# Overwrite using file path to my svg
# Can also use string
svg = skunk.insert(
{
'sk': 'skunk.svg'
})
with open('replaced.svg', 'w') as f:
f.write(svg)
Output
SVG in Annotation
Read about annotation boxes first
"))
ax.add_artist(ab)
# sknunk box with id sk2
box = skunk.Box(50, 50, 'sk2')
ab = AnnotationBbox(box, (3 * np.pi / 2, -1),
xybox=(-5, 100),
xycoords='data',
boxcoords='offset points',
arrowprops=dict(arrowstyle="->"))
ax.add_artist(ab)
# insert current figure into itself at sk1
# insert svg file in sk2
svg = skunk.insert(
{
'sk1': skunk.pltsvg(),
'sk2': 'skunk.svg'
})
with open('replaced2.svg', 'w') as f:
f.write(svg)
">
import numpy as np fig, ax = plt.subplots() x = np.linspace(0, 2 * np.pi) ax.plot(x, np.sin(x)) # new code: using skunk box with id sk1 box = skunk.Box(50, 50, 'sk1') ab = AnnotationBbox(box, (np.pi / 2, 1), xybox=(-5, -100), xycoords='data', boxcoords='offset points', arrowprops=dict(arrowstyle="->")) ax.add_artist(ab) # sknunk box with id sk2 box = skunk.Box(50, 50, 'sk2') ab = AnnotationBbox(box, (3 * np.pi / 2, -1), xybox=(-5, 100), xycoords='data', boxcoords='offset points', arrowprops=dict(arrowstyle="->")) ax.add_artist(ab) # insert current figure into itself at sk1 # insert svg file in sk2 svg = skunk.insert( { 'sk1': skunk.pltsvg(), 'sk2': 'skunk.svg' }) with open('replaced2.svg', 'w') as f: f.write(svg)
Output
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