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
13.1k Feb 18, 2021
8.1k Feb 18, 2021
391 Feb 17, 2021
317 Feb 17, 2021
356 Feb 16, 2021
1.6k Jan 6, 2023
207 Dec 8, 2022
24 Jan 2, 2023
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0 Jun 25, 2022
1 Nov 04, 2021
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3 Aug 06, 2021
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2.4k Jan 04, 2023
3 Dec 25, 2021
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0 Sep 12, 2021
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2 Jan 22, 2022