Plot a Wave files Audio Visually In Python

Question

I am trying to figure out how to plot the audio visually of a wav file. In my code if I do a wavefile.readframe(-1) I get the whole wav file plotted, the way my code works now is I just get a silver (one frame!) I'd like to show 24 frames of audio on each image plot from the wave file so I can animate it. Hopefully this is clear.

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import wave , sys , os , struct

waveFile = wave.open('mono.wav','r')
length = waveFile.getnframes()
for i in range(0,length):
    print i # so we know where we are at.
    waveData = waveFile.readframes(i)
    fs = waveFile.getframerate()
    signal = np.fromstring(waveData, 'Int16')
    Time=np.linspace(0, len(signal)/fs, num=len(signal))
    plt.axis('off')
    plt.plot(Time,signal , 'w')
    plt.savefig('signal' + str(i) + '.png' , facecolor='none', edgecolor='none', transparent=True, frameon=False)
    plt.close

Answer 1

I recoded a bit , the above answered help, but I needed to do more massaging. So if you have a need to plot audio this way in realtime just adjust the readframes for as many frames you would like to take in. To plot each frame I wound up having to make seperate plt.figure id's This code snip will get you where you want to go

wave_file = wave.open('mono.wav', 'r')
data_size = wave_file.getnframes()
sample_rate = wave_file.getframerate()


while True:

    waveData = wave_file.readframes(10000)
    signal = np.fromstring(waveData , 'Int16')
    Time=np.linspace(0, len(signal), num=len(signal))

    plt.figure()
    fig = plt.figure(figsize=(xinch,yinch) , frameon=False)
    #fig = plt.figure(frameon=False)
    ax = fig.add_axes([0, 0, 1, 1])
    #ax.axis('off')

    plt.axis('off')
    line = plt.plot(Time,signal , 'w')
    plt.setp(line, linewidth=10)

    plt.savefig('signal' + str(x) + '.png')
    plt.close

    x+= 1
    if  wave_file.tell() == data_size:
            break

Will result in frames like this: