# How to make a real time voice plot

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))
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.