python实现音频可视化，有粒子特效

以下是一个简单的Python代码，实现音频可视化和粒子特效：

import numpy as np
import pyaudio
import time
import math
import pygame
import random

# 配置参数
CHUNK = 2048
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100

# 初始化Pygame
pygame.init()
W, H = 1024, 768
win = pygame.display.set_mode((W,H))

# 初始化粒子系统
class Particle:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.vx = random.randrange(-30, 30)
        self.vy = random.randrange(-30, 30)
        self.color = (random.randrange(50, 255), random.randrange(50, 255), random.randrange(50, 255))

    def move(self):
        self.x += self.vx
        self.y += self.vy

        if self.x >= W or self.x < 0:
            self.vx = -self.vx
        if self.y >= H or self.y < 0:
            self.vy = -self.vy

    def draw(self):
        pygame.draw.circle(win, self.color, [int(self.x), int(self.y)], 2)

particles = []
for i in range(500):
    particles.append(Particle(W//2, H//2))

# 初始化音频流
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)

# 循环读取音频流
while True:
    data = stream.read(CHUNK)
    array = np.frombuffer(data, dtype=np.int16)

    # 计算频域数据，并归一化
    freq_domain = np.fft.fft(array) / CHUNK
    freq_domain = np.abs(freq_domain[:CHUNK//2])

    # 清除图像
    win.fill((0,0,0))

    # 绘制频域数据
    bar_x = 0
    bar_w = W / (CHUNK//2)
    for i in range(CHUNK//2):
        bar_h = math.log(freq_domain[i] + 1) * 10
        pygame.draw.rect(win, (255,255,255), (bar_x, H - bar_h, bar_w, bar_h))
        bar_x += bar_w

    # 更新并绘制粒子系统
    for p in particles:
        p.move()
        p.draw()

    # 刷新Pygame窗口
    pygame.display.update()

    # 处理Pygame事件
    for event in pygame.event.get():
        if event.type==pygame.QUIT:
            pygame.quit()
            quit()

    # 等待一段时间
    time.sleep(0.01)

这个程序使用Pygame显示，Pyaudio读取音频流，numpy计算频域数据。在程序运行时，它会读取音频流并计算频域数据，然后在窗口中绘制频域条形图和粒子系统。由于该程序是循环运行的，所以只要有音频流输入，它就会实时更新可视化效果。