效果图

t = np.arange(0,time,1.0/sampling_rate)
wavename = 'morl'    # "cmorB-C" where B is the bandwidth and C is the center frequency.
totalscal = 64    # scale 
fc = pywt.central_frequency(wavename) #  central frequency
cparam = 2 * fc * totalscal
scales = cparam/np.arange(1,totalscal+1)

[cwtmatr_l, frequencies_l] = pywt.cwt(data,scales,wavename,1.0/sampling_rate) # continuous wavelet transform

    
plt.figure(figsize=(8, 4))
plt.contourf(t, frequencies_l, abs(cwtmatr_l),cmap='jet', levels=np.linspace(0,50,100),extend='both')
plt.ylabel(u"freq(Hz)")
plt.xlabel(u"time(s)")
plt.colorbar()

 其中，data是一个通道的信号数据，sample_rate是采样率，需要导入pywt包。