import matplotlib.pyplot as plt import numpy as np from scipy.io import wavfile rate_h,hstrain=wavfile.read(r'H1_Strain.wav','rb') rate_l,lstrain=wavfile.read(r'L1_Strain.wav','rb') reftime,ref_H1 = np.genfromtxt('ll.txt').transpose htime_interval = 1/rate_h ltime_interval = 1/rate_l htime_len = hstrain.shape[0]/rate_h htime = np.arange(-htime_len/2,htime_len/2,htime_interval) ltime_lan = lstrain.shape[0]/rate_l ltime = np.arange(-ltime_lan/2,ltime_lan/2),ltime_interval fig = plt.figure(figsize=(12,6)) # 创建一个大小为12*6的绘图空间 plth = fig.add_subplot(221) plth.plot(htime,hstrain,'y') plth.set_xlabel('Time (seconds)') # 画出以时间为X轴,应变数据为Y轴的图像并设置标题和坐标轴的标签 plth.set_ylabel('H1 Strain') plth.set_title('H1 Strain') pltl = fig.add_subplot(222) pltl.plot(ltime,lstrain,'g') pltl.set_xlabel('Time (seconds)') # 画出以时间为X轴,应变数据为Y轴的图像并设置标题和坐标轴的标签 pltl.set_ylabel('L1 Strain') pltl.set_title('L1 Strain') pltref = fig.add_subplot(212) pltref.plot(reftime,ref_H1) pltref.set_xlabel('Time (seconds)') # 画出以时间为X轴,应变数据为Y轴的图像并设置标题和坐标轴的标签 pltref.set_ylabel('Template Strain') pltref.set_title('Template') fig.tight_layout() fig.tight_layout() plt.savefig('ff.png') plt.show() plt.close(fig)