I was thinking that maybe recording audio might be convenient way to get reasonable amounts of data into my computer. Probably better than using an arduino for a bunch of reasons. Plus I’ve already bought some external DACs for recording audio.
A useful Link
I followed these instructions https://gist.github.com/jiaaro/9767512210a1d80a8a0d
pip install --allow-external pyaudio --allow-unverified pyaudio pyaudio
Here is some very slightly modified from the pyaudio example code. May want to eventually select which input device you want
import pyaudio import numpy as np import matplotlib CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 2 RATE = 44100 RECORD_SECONDS = .5 WAVE_OUTPUT_FILENAME = "output.wav" p = pyaudio.PyAudio() ''' print("Input Device Info") print(p.get_default_input_device_info()) print("Output Device Info") print(p.get_default_output_device_info()) for i in range(p.get_host_api_count()): print(p.get_host_api_info_by_index(i)) ''' for index in range(p.get_device_count()): print(p.get_device_info_by_index(index)) stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK, input_device_index=0) print("* recording") frames =  for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)): data = stream.read(CHUNK) frames.append(data) print("* done recording") stream.stop_stream() stream.close() p.terminate() time =  audio = np.fromstring(b''.join(frames),dtype=np.int16) t = np.linspace(0,RECORD_SECONDS,num=audio.size) import matplotlib.pyplot as plt plt.plot(t,audio) plt.show()
Maybe I’ll write in a moving fft or some realtime watching would be nice.