Insert SVGs into matplotlib

Overview

skunk buildPyPI version

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

image

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

image

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Comments
  • plot svgs into matplotlib subplots in a for loop

    plot svgs into matplotlib subplots in a for loop

    Hi,

    Many thanks for this easy and straightforward tool. I have a dict with lxml text in it, and I want to plot each key into a subplot. How would you do that using skunk?.. I would be very grateful if you can provide a demo code.

    I played a little with your code, didn't manage to make what I am after, but I saw that I had to reset the dimensions of the svg image before adding it to a subplot.

    Many thanks in advance, HM

    opened by hmassalha 4
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