Construct isolines/isosurfaces of a 2D/3D scalar field defined by a function, i.e. curves over which f(x,y)=0
or surfaces over which f(x,y,z)=0
. Most similar libraries use marching squares or similar over a uniform grid, but this uses a quadtree to avoid wasting time sampling many far from the implicit surface.
This library is based on the approach described in Manson, Josiah, and Scott Schaefer. "Isosurfaces over simplicial partitions of multiresolution grids." Computer Graphics Forum. Vol. 29. No. 2. Oxford, UK: Blackwell Publishing Ltd, 2010.
An example graph, including quad lines, of y(x-y)^2 = 4x+8
(Python expression: y*(x-y)**2 - 4*x - 8
)
pip3 install isosurfaces
from isosurfaces import plot_isoline
import numpy as np
def f(x, y):
return y * (x - y) ** 2 - 4 * x - 8
curves = plot_isoline(
lambda u: f(u[0], u[1]),
np.array([-8, -6]),
np.array([8, 6]),
# Increasing min_depth can help if you have small features
min_depth=3,
# Ensure max_quads is more than 4**min_depth to capture details better
# than a 2**min_depth by 2**min_depth uniform grid
max_quads=1000,
)
for curve in curves:
print(', '.join(f"({p[0]:.3f},{p[1]:.3f})" for p in curve))
python3 isoline_demo.py && xdg-open out/demo.svg
manim -pql isosurface_demo.py --renderer=opengl --enable_gui
Pyflakes, allowing manim star imports
python3 -m pyflakes . | grep -v "star imports: manim"
Build source archive and wheel:
rm -rf dist build isosurfaces.egg-info
python3 setup.py sdist bdist_wheel
twine check dist/*
# for test:
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# for actual
twine upload dist/*
isosurfaces
uses black
and isort
. A Github Action will run to make sure it was applied.
Related projects:
- (2D, grid-based) https://pypi.org/project/meander/
- (2D, grid-based) https://pypi.org/project/contours/
- (Archived) https://github.com/AaronWatters/contourist
Other terms for an isoline:
- Contour
- Level curve
- Topographic map