forked from rougier/from-python-to-numpy
-
Notifications
You must be signed in to change notification settings - Fork 0
/
smoke_1.py
77 lines (61 loc) · 2.45 KB
/
smoke_1.py
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
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
# -----------------------------------------------------------------------------
# From Numpy to Python
# Copyright (2017) Nicolas P. Rougier - BSD license
# More information at https://github.com/rougier/numpy-book
# -----------------------------------------------------------------------------
import numpy as np
from smoke_solver import vel_step, dens_step
N = 128
size = N + 2
dt = 0.1
diff = 0.0
visc = 0.0
force = 5.0
source = 100.0
u = np.zeros((size, size), np.float32) # velocity
u_prev = np.zeros((size, size), np.float32)
v = np.zeros((size, size), np.float32) # velocity
v_prev = np.zeros((size, size), np.float32)
dens = np.zeros((size, size), np.float32) # density
dens_prev = np.zeros((size, size), np.float32)
def initialization():
global u, v, u_prev, v_prev, dens, dens_prev, size
u[:, :] = 0.0
v[:, :] = 0.0
u_prev[:, :] = 0.0
v_prev[:, :] = 0.0
dens[:, :] = 0.0
dens_prev[:, :] = 0.0
def disc(shape=(size, size), center=(size/2, size/2), radius=10):
def distance(x, y):
return np.sqrt((x-center[0])**2+(y-center[1])**2)
D = np.fromfunction(distance, shape)
return np.where(D <= radius, True, False)
D = disc(radius=32) - disc(radius=16)
dens[...] = D*source/10
u[:, :] = force * 0.1 * np.random.uniform(-1, 1, u.shape)
v[:, :] = force * 0.1 * np.random.uniform(-1, 1, u.shape)
def update(*args):
global im, dens, dens_prev, u, u_prev, v, v_prev, N, visc, dt, diff
vel_step(N, u, v, u_prev, v_prev, visc, dt)
dens_step(N, dens, dens_prev, u, v, diff, dt)
im.set_data(dens)
im.set_clim(vmin=dens.min(), vmax=dens.max())
if __name__ == '__main__':
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
fig = plt.figure(figsize=(5, 5))
ax = fig.add_axes([0, 0, 1, 1], frameon=False)
ax.set_xlim(0, 1)
ax.set_xticks([])
ax.set_ylim(0, 1)
ax.set_yticks([])
initialization()
im = ax.imshow(dens[1:-1, 1:-1],
interpolation='bicubic', extent=[0, 1, 0, 1],
cmap=plt.cm.magma, origin="lower", vmin=0, vmax=1)
animation = FuncAnimation(fig, update, interval=10, frames=800)
# animation.save('smoke-1.mp4', fps=40, dpi=80, bitrate=-1,
# codec="libx264", extra_args=['-pix_fmt', 'yuv420p'],
# metadata={'artist':'Nicolas P. Rougier'})
plt.show()