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 np
import pyaudio as pa
import matplotlib.pyplot as plt
# 定义参数
CHUNK = 1024
FORMAT = pa.paInt16
CHANNELS = 1
RATE = 44100
# 初始化 PyAudio
p = 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 np
import pyaudio as pa
import matplotlib.pyplot as plt
CHUNK = 1024
FORMAT = pa.paInt16
CHANNELS = 1
RATE = 44100
p = pa.PyAudio()
stream = p.open(
format = FORMAT,
channels = CHANNELS,
rate = RATE,
input=True,
output=True,
frames_per_buffer=CHUNK
)
buffer = [0]*CHUNK
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.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 = 32
while 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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