meshless_voronoi 0.3.0

An implementation of the Meshless Voronoi algorithm in rust.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from pathlib import Path
import h5py


def read_faces(fname: Path) -> np.ndarray:
    data = h5py.File(fname, "r")
    start = data["Faces/Start"][:][:, :2]
    end = data["Faces/End"][:][:, :2]
    return np.stack([start, end], axis=1)


def read_generators(fname: Path) -> np.ndarray:
    data = h5py.File(fname, "r")
    return data["Cells/Generator"][:]

def read_centroids(fname: Path) -> np.ndarray:
    data = h5py.File(fname, "r")
    return data["Cells/Centroid"][:]


def plot(faces: np.ndarray, generators = None, centroids = None):
    lines = LineCollection(faces, color="r", lw=1)
    fig, ax = plt.subplots(figsize=(6, 6))
    ax.add_collection(lines)
    ax.set_aspect("equal")
    ax.set_xlim(min([f[:, 0].min() for f in faces]), max([f[:, 0].max() for f in faces]))
    ax.set_ylim(min([f[:, 1].min() for f in faces]), max([f[:, 1].max() for f in faces]))
    if generators is not None:
        ax.scatter(generators[:, 0], generators[:, 1], c="green", s=0.5)
    if centroids is not None:
        ax.scatter(centroids[:, 0], centroids[:, 1], c="blue", s=0.5)
    ax.axis("off")
    fig.tight_layout()
    fig.savefig("test.png", dpi=300)


def main(fname):
    plot(
        faces = read_faces(fname),
        generators = read_generators(fname),
        centroids = read_centroids(fname),
    )


if __name__ == "__main__":
    main("test_2_d.hdf5")