skunk 1.3.0
Insert SVGs into matplotlib figures
License: MIT

# skunk [![build](https://github.com/whitead/skunk/actions/workflows/tests.yml/badge.svg)](https://whitead.github.io/skunk/)[![PyPI version](https://badge.fury.io/py/skunk.svg)](https://badge.fury.io/py/skunk)

 <img src="https://raw.githubusercontent.com/whitead/skunk/main/tests/skunk.svg">

Insert SVG images into matplotlib elements. Can be used to also compose matplotlib plots by nesting them.

```sh
pip install skunk
```

## Jupyter Notebooks

To show generated SVGs in Jupyter Notebooks:

```py
skunk.display(svg)
```

## Overwrite Subplot

```py
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 a string that contains the SVG
svg = skunk.insert(
    {
        'sk': 'skunk.svg'
    })

# write to file
with open('replaced.svg', 'w') as f:
    f.write(svg)
# or in jupyter notebook
skunk.display(svg)
```

### Output

![image](https://user-images.githubusercontent.com/908389/132105794-f178b4c1-3378-46b9-81d8-18f8e2435a83.png)


## SVG in Annotation

Read about [annotation boxes first](https://matplotlib.org/stable/gallery/text_labels_and_annotations/demo_annotation_box.html)

```py
import skunk
from matplotlib.offsetbox import AnnotationBbox
import numpy as np
import matplotlib.pyplot as plt

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'
    })

# write to file
with open('replaced2.svg', 'w') as f:
    f.write(svg)
# or in jupyter notebook
skunk.display(svg)
```

### Output

![image](https://user-images.githubusercontent.com/908389/132105868-f0e4ae23-3ebf-4630-b230-8279d5791169.png)

## SVG to Replace Image

Sometimes you may want a raster image to appear if not using an SVG. This can be done with an `ImageBox`.
The example above is identical, except we replace the `skunk.Box` with a `skunk.ImageBox` that has the same
arguments (after first) as [`OffsetImage`](https://matplotlib.org/stable/api/offsetbox_api.html#matplotlib.offsetbox.OffsetImage)

```py
# use image box, so can have PNG when not in SVG
with open('skunk.png', 'rb') as file:
    skunk_img = plt.imread(file)
box = skunk.ImageBox('sk2', skunk_img, zoom=0.1)
```

### Output

You can see that the inner image contains the raster now instead of the blue rectangle. This example is overly fancy, normally you won't be *recursively* nesting plots so the raster image will only appear if you're not using SVG.

![image](https://user-images.githubusercontent.com/908389/133010015-a1713504-33b6-4c26-960d-6da50b5a9561.png)

## Save to PDF

I prefer [`cairosvg`](https://github.com/Kozea/CairoSVG):

```py
import cairosvg
cairosvg.svg2pdf(bytestring=svg, write_to='image.pdf')
```

## Layout a set of SVGs

Sometimes you just want to slap a bunch of SVGs together into a grid. You can do that with this method:

```py
svg = skunk.layout_svgs(svgs)
```