Alright friends welcome back, lets plot some sound on the matplotlib.

# Quickly import essential libraries
import queue
import sys
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
import numpy as np
import sounddevice as sd

# Lets define audio variables
# We will use the default PC or Laptop mic to input the sound

device = 0 # id of the audio device by default
window = 1000 # window for the data
downsample = 1 # how much samples to drop
channels = [1] # a list of audio channels
interval = 30 # this is update interval in miliseconds for plot

# lets make a queue
q = queue.Queue()
# Please note that this sd.query_devices has an s in the end.
device_info =  sd.query_devices(device, 'input')
samplerate = device_info['default_samplerate']
length  = int(window*samplerate/(1000*downsample))

# lets print it 
print("Sample Rate: ", samplerate)

# Typical sample rate is 44100 so lets see.

# Ok so lets move forward

# Now we require a variable to hold the samples 

plotdata =  np.zeros((length,len(channels)))
# Lets look at the shape of this plotdata 
print("plotdata shape: ", plotdata.shape)
# So its vector of length 44100
# Or we can also say that its a matrix of rows 44100 and cols 1

# next is to make fig and axis of matplotlib plt
fig,ax = plt.subplots(figsize=(8,4))

# lets set the title
ax.set_title("PyShine")

# Make a matplotlib.lines.Line2D plot item of color green
# R,G,B = 0,1,0.29

lines = ax.plot(plotdata,color = (0,1,0.29))

# We will use an audio call back function to put the data in queue

def audio_callback(indata,frames,time,status):
	q.put(indata[::downsample,[0]])

# now we will use an another function 
# It will take frame of audio samples from the queue and update
# to the lines

def update_plot(frame):
	global plotdata
	while True:
		try: 
			data = q.get_nowait()
		except queue.Empty:
			break
		shift = len(data)
		plotdata = np.roll(plotdata, -shift,axis = 0)
		# Elements that roll beyond the last position are 
		# re-introduced 
		plotdata[-shift:,:] = data
	for column, line in enumerate(lines):
		line.set_ydata(plotdata[:,column])
	return lines
ax.set_facecolor((0,0,0))
# Lets add the grid
ax.set_yticks([0])
ax.yaxis.grid(True)

""" INPUT FROM MIC """

stream  = sd.InputStream( device = device, channels = max(channels), samplerate = samplerate, callback  = audio_callback)


""" OUTPUT """		

ani  = FuncAnimation(fig,update_plot, interval=interval,blit=True)
with stream:
	plt.show()
	
	
# Thats it lets check. Let me play some sound.
# I hope you like the audio please comment. And we can also add some background
# color to the plot. Simply we set the face color of ax.