最近看到不少关于李峋同款爱心的视频、文章,今天我们也分享一下李峋同款爱心 Python 代码版。要问李峋是谁?我也不太清楚,大家可自行百度,这个是我百度的结果,仅供参考。
简单来说李峋同款爱心就是一个动态的♥型效果,主要 Python 代码实现如下:
def __init__(self, generate_frame=20):
# 原始爱心坐标集合
self._points = set()
# 边缘扩散效果点坐标集合
self._edge_diffusion_points = set()
# 中心扩散效果点坐标集合
self._center_diffusion_points = set()
# 每帧动态点坐标
self.all_points = {}
self.build(2000)
self.random_halo = 1000
self.generate_frame = generate_frame
for frame in range(generate_frame):
self.calc(frame)
def build(self, number):
for _ in range(number):
t = random.uniform(0, 2 * pi)
x, y = heart(t)
self._points.add((x, y))
# 爱心内扩散
for _x, _y in list(self._points):
for _ in range(3):
x, y = scatter_inside(_x, _y, 0.05)
self._edge_diffusion_points.add((x, y))
# 爱心内再次扩散
point_list = list(self._points)
for _ in range(4000):
x, y = random.choice(point_list)
x, y = scatter_inside(x, y, 0.17)
self._center_diffusion_points.add((x, y))
@staticmethodstaticmethod
def calc_position(x, y, ratio):
force = 1 / (((x - X) ** 2 +
(y - Y) ** 2) ** 0.520)
dx = ratio * force * (x - X) + random.randint(-1, 1)
dy = ratio * force * (y - Y) + random.randint(-1, 1)
return x - dx, y - dy
def calc(self, generate_frame):
ratio = 10 * curve(generate_frame / 10 * pi)
halo_radius = int(4 + 6 * (1 + curve(generate_frame / 10 * pi)))
halo_number = int(
3000 + 4000 * abs(curve(generate_frame / 10 * pi) ** 2))
all_points = []
# 光环
heart_halo_point = set()
for _ in range(halo_number):
t = random.uniform(0, 2 * pi)
x, y = heart(t, shrink_ratio=11.6)
x, y = shrink(x, y, halo_radius)
if (x, y) not in heart_halo_point:
heart_halo_point.add((x, y))
x += random.randint(-14, 14)
y += random.randint(-14, 14)
size = random.choice((1, 2, 2))
all_points.append((x, y, size))
# 轮廓
for x, y in self._points:
x, y = self.calc_position(x, y, ratio)
size = random.randint(1, 3)
all_points.append((x, y, size))
# 内容
for x, y in self._edge_diffusion_points:
x, y = self.calc_position(x, y, ratio)
size = random.randint(1, 2)
all_points.append((x, y, size))
self.all_points[generate_frame] = all_points
for x, y in self._center_diffusion_points:
x, y = self.calc_position(x, y, ratio)
size = random.randint(1, 2)
all_points.append((x, y, size))
self.all_points[generate_frame] = all_points
实现效果如下: