penkit-optimize

Experimental SVG optimizer using or-tools.


License
MIT
Install
pip install penkit-optimize==0.0.3

Documentation

Penkit

Penkit is a library of utility functions generating pen plots from Python/numpy.

Installation

Requirements: Python 2.7 or 3.x, numpy, scipy. Preview modules require ipython or matplotlib.

# pip install penkit

Documentation

Examples

Grid Surface Projection

from penkit.textures import make_grid_texture
from penkit.textures.util import rotate_texture
from penkit.surfaces import make_noise_surface
from penkit.write import write_plot
from penkit.projection import project_and_occlude_texture

# create a texture
grid_density = 68
texture = make_grid_texture(grid_density, grid_density, 100)

# rotate the texture
texture = rotate_texture(texture, rotation=65)

# create the surface
surface = make_noise_surface(blur=28, seed=12345) * 10

# project the texture onto the surface
proj = project_and_occlude_texture(texture, surface, angle=69)

# plot the result
write_plot([proj], 'examples/grid_surface.svg')

Hilbert Curve Surface Projection

from penkit.fractal import hilbert_curve
from penkit.textures.util import fit_texture, rotate_texture
from penkit.surfaces import make_noise_surface
from penkit.projection import project_and_occlude_texture
from penkit.write import write_plot

# create a texture
texture = hilbert_curve(7)

# rotate the texture
texture = rotate_texture(texture, 30)
texture = fit_texture(texture)

# create the surface
surface = make_noise_surface(blur=30) * 5

# project the texture onto the surface
proj = project_and_occlude_texture(texture, surface, 50)

# plot the result
write_plot([proj], 'examples/hilbert_surface.svg')


https://travis-ci.org/paulgb/penkit.svg?branch=master