mi@0: #!/usr/bin/env python
mi@0: # encoding: utf-8
mi@0: """
mi@0: animate.py
mi@0: 
mi@0: Created by mi tian on 2015-01-21.
mi@0: Copyright (c) 2015 __MyCompanyName__. All rights reserved.
mi@0: """
mi@0: 
mi@0: '''
mi@0: Animate feature from stored data.
mi@0: '''
mi@0: import sys, os
mi@0: import numpy as np
mi@0: import matplotlib.pyplot as plt
mi@0: import matplotlib.animation as animation
mi@0: 
mi@0: data = np.genfromtxt('/Users/mitian/Documents/workspace/data/ph.txt',delimiter=',')
mi@0: 
mi@0: fs, stepSize, blockSize = 44100, 2048, 1024
mi@0: # feature_time = 6
mi@0: # feature_window = int(fs / stepSize * feature_time)
mi@0: # feature_step = int(0.5 * fs / stepSize * feature_time)
mi@0: # nWindow = int((len(data) - feature_window) / feature_step + 1)
mi@0: feature_step = 48
mi@0: nWindow = int(len(data) / feature_step)
mi@0: 
mi@0: def animate(i):
mi@0: 	plt.imshow(data[i*feature_step:(i+1)*feature_step, :].T, cmap='hot', origin='lower')
mi@0: 	plt.title('%d-%d(s)' %(3*i, 3*i+6))
mi@0: 
mi@0: def main():
mi@0: 	
mi@0: 	print nWindow
mi@0: 	
mi@0: 	fig, ax = plt.subplots()
mi@0: 	ani = animation.FuncAnimation(fig, animate, np.arange(nWindow), interval= 3000) 
mi@0: 	plt.show()
mi@0: 
mi@0: if __name__ == '__main__':
mi@0: 	main()
mi@0: