音頻處理中，經常要看一下啊頻域圖是什麽樣子的，這裏自己寫了一個小程序，可以完美的同步顯示時域和頻域圖，直接上代碼：

 1 #wave data   -xlxw
 2 
 3 #import
 4 import wave as we
 5 import numpy as np
 6 import matplotlib.pyplot as plt 
 7 import sys 
 8 
 9 def wavread(path):
10     wavfile =  we.open(path,"rb")
11     params = wavfile.getparams()
 
12     framesra,frameswav= params[2],params[3]
13     nchannels, sampwidth, framesra, frameswav = params[:4]
14     print("nchannels:%d" % nchannels)
15     print("sampwidth:%d" % sampwidth)
16     datawav = wavfile.readframes(frameswav)
17     wavfile.close()
18     datause = np.fromstring(datawav,dtype = np.short)
 
19     print(len(datause))
20     if nchannels == 2:
21         datause.shape = -1,2
22     datause = datause.T
23     time = np.arange(0, frameswav) * (1.0/framesra)
24     return datause,time,nchannels
25 
26 def main():
27     path = sys.argv[1]
28     #path = input("The Path is:")
29     print
 
(path)
30     wavdata,wavtime,nchannels = wavread(path)
31         
32     N=len(wavdata)
33     framerate = 16000
34     start=0 
35     df = 1 
36     freq = [df*n for n in range(0,len(wavdata))] 
37     print(len(wavdata))
38     print(len(wavtime))
39         
40     c=np.fft.fft(wavdata)*nchannels
41     d=int(len(c)/2)
42     print(len(c))
43 
44     fig, ax = plt.subplots(2, 1)
45 
46 
47     ax[0].plot(wavtime,wavdata,color = ‘green‘)
48     ax[0].set_xlabel(‘Time‘)
49     ax[0].set_ylabel(‘Amplitude‘)
50 
51 
52     ax[1].plot(freq,abs(c),color = ‘red‘)
53     ax[1].set_xlabel(‘Freq(HZ)‘)
54     ax[1].set_ylabel(‘Y(freq)‘)
55         
56     plt.show()

　直接上圖看結果：

　　這個只能對單聲道１6k采樣的wav格式做處理，不過，只要稍微加一更改，就可以處理別的了。具體改代碼的事情，還是誰用誰做吧。做個程序員，總要付出一些代價的。

每日一言：君子役物，小人役於物。——《勸學》

python 實現wav的波形顯示（時域和頻域）