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- # Visualize wav file by matplotlib
- # Load the required libraries:
- # * scipy
- # * numpy
- # * matplotlib
- from scipy.io import wavfile
- from matplotlib import pyplot as plt
- import sys
- import numpy as np
- if len(sys.argv) < 2:
- print("Plays a wave file.\n\nUsage: %s filename.wav" % sys.argv[0])
- sys.exit(-1)
- # Load the data and calculate the time of each sample
- samplerate, data = wavfile.read(sys.argv[1])
- times = np.arange(len(data))/float(samplerate)
- # Make the plot
- # You can tweak the figsize (width, height) in inches
- plt.figure(figsize=(30, 4))
- plt.fill_between(times, data, color='k')
- plt.xlim(times[0], times[-1])
- plt.xlabel('time (s)')
- plt.ylabel('amplitude')
- # You can set the format by changing the extension
- # like .pdf, .svg, .eps
- plt.savefig('plot.png', dpi=100)
- plt.show()
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