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
2 Jan 16, 2022
3 Sep 23, 2021
487 Jan 08, 2023
338 Nov 25, 2022
1 Feb 10, 2022
1.9k Jan 08, 2023
17 Dec 18, 2022
3.4k Dec 29, 2022
15 Dec 28, 2022
10 Dec 19, 2022
10 Jun 01, 2022
37 Nov 25, 2022
11 Oct 26, 2021
41 Dec 10, 2022
97 Nov 04, 2022
14.1k Jan 03, 2023
5 Nov 09, 2022
1 Dec 02, 2021
400 Dec 31, 2022
3 May 14, 2022