英文:
How do i create an animated (moving from left to right) waveform in Python?
问题
以下是您提供的代码的翻译部分：
# 导入所需的库import numpy as npimport pyaudio as paimport matplotlib.pyplot as plt# 定义参数CHUNK = 1024FORMAT = pa.paInt16CHANNELS = 1RATE = 44100# 初始化 PyAudiop = pa.PyAudio()# 打开音频输入流stream = p.open(format=FORMAT,channels=CHANNELS,rate=RATE,input=True,output=True,frames_per_buffer=CHUNK)# 创建一个用于存储数据的缓冲区buffer = [0] * CHUNK# 创建绘图窗口fig, ax = plt.subplots()x = np.arange(0, 2 * CHUNK, 2)line, = ax.plot(x, np.random.rand(CHUNK), 'r')ax.set_ylim(-32000, 32000)ax.set_xlim(0, CHUNK)fig.show()# 进入数据处理循环while True:# 从音频流中读取数据data = stream.read(CHUNK)dataInt = np.frombuffer(data, dtype=np.int16)# 更新缓冲区数据for i in range(len(dataInt)):buffer.insert(0, dataInt[i])del buffer[-1]line.set_ydata(buffer)fig.canvas.draw()fig.canvas.flush_events()
注意：这是您提供的 Python 代码的翻译部分，其中包含了用于创建移动波形的相关功能。
英文:
I need to create moving waveform using Python and pyaudio. I thought about creating a buffer and filling it with data from audio stream. It sorta works but it's too slow. I tried changing the size of chunk to something smaller, but i always get an "Input overflowed" error.
This is the code i came up with
import numpy as npimport pyaudio as paimport matplotlib.pyplot as pltCHUNK = 1024FORMAT = pa.paInt16CHANNELS = 1RATE = 44100p = pa.PyAudio()stream = p.open(format = FORMAT,channels = CHANNELS,rate = RATE,input=True,output=True,frames_per_buffer=CHUNK)buffer = [0]*CHUNKfig, ax = plt.subplots()x = np.arange(0,2*CHUNK,2)line, = ax.plot(x, np.random.rand(CHUNK),'r')ax.set_ylim(-32000,32000)ax.ser_xlim = (0,CHUNK)fig.show()while True:data = stream.read(CHUNK)dataInt = np.frombuffer(data, dtype=np.int16)for i in range(len(dataInt)):buffer.insert(0, dataInt[i])del buffer[-1]line.set_ydata(buffer)fig.canvas.draw()fig.canvas.flush_events()
答案1
得分: 0
主要问题在于for循环中的更新太频繁，我们知道数据的每次更新和重新绘制画布都是耗时的。我建议每处理几个数据点进行一次更新。您可以使用像 UPDATE_SIZE 这样的变量来控制更新的频率：
英文:
The main problem is that the update in the for loop is too frequent and we know each update in the data and redrawing the canvas is time-consuming. I suggest making the update once every few datapoints. You can control update frequency using a variable like UPDATE_SIZE:
UPDATE_SIZE = 32while True:data = stream.read(CHUNK)dataInt = np.frombuffer(data, dtype=np.int16)for i in range(0, len(dataInt), UPDATE_SIZE):buffer = dataInt[i:i+UPDATE_SIZE].tolist()[::-1] + buffer[:-UPDATE_SIZE]line.set_ydata(buffer)fig.canvas.draw()fig.canvas.flush_events()
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