python实现音乐可视化

以下是Python实现音乐可视化的步骤：

1.安装必要的库，包括pyaudio、numpy、matplotlib和pydub。可以使用以下命令进行安装：

pip install pyaudio numpy matplotlib pydub

2.导入所需的库：

import pyaudio
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from pydub import AudioSegment

3.读取音乐文件并将其转换为wav格式：

sound = AudioSegment.from_file(file='your_music.mp3')
sound.export('your_music.wav', format='wav')

4.使用pyaudio库读取wav文件并播放音乐：

p = pyaudio.PyAudio()
sound = AudioSegment.from_file(file='your_music.wav')
left = sound.split_to_mono()[0]
fs = left.frame_rate
size = len(left.get_array_of_samples())
channels = left.channels
stream = p.open(
    format=p.get_format_from_width(left.sample_width),
    channels=channels,
    rate=fs,
    output=True,
)
stream.start_stream()

5.使用numpy库将音乐数据转换为频谱数据：

window = 2 ** 11
spec = np.zeros([int(size / window), window // 2])
for i in range(0, int(size / window)):
    chunk = left.get_array_of_samples()[i * window:(i + 1) * window]
    spec[i] = np.abs(np.fft.fft(chunk))[0:window // 2]

6.使用matplotlib库绘制频谱图：

fig, ax = plt.subplots()
x = np.arange(0, window // 2, 1)
line, = ax.plot(x, np.random.rand(window // 2))

def update(i):
    line.set_ydata(spec[i])
    return line,

ani = FuncAnimation(fig, update, frames=range(0, int(size / window)), interval=0, blit=True)
plt.show()