请为为这个函数作出，ricker子波图、反射系数序列图和合成地震记录图import numpy as np import matplotlib.pyplot as plt def ricker(f, length, dt): t = np.arange(-length/2,(length-dt)/2, dt) y = (1.0 - 2.0*(np.pift)**2) * np.exp(-(np.pift)**2) return t,y i = 0 Frequency = 20 length = 0.128 dt = 0.001# 八层介质 rho = np.array([1.5, 1.8, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2]) v = np.array([1500, 1700, 2000, 2200, 2400, 2600, 2800, 3000]) depth = np.array([0, 50, 100, 150, 200, 250, 300, 350]) Z = rho * v L = (Z[1:] - Z[:-1]) / (Z[1:] + Z[:-1]) t1 = np.arange(0, depth[-1]/v[0]*2, dt) L1 = np.zeros(np.size(t1)) for i in range(1, np.size(depth)): t = depth[i]/v[i-1] + depth[i]/v[i] L1[int(np.round(t/dt))] = L[i-1] t0, w0 = ricker(Frequency, length, dt) syn = np.convolve(L1, w0, 'same')

好的，让我们分别绘制三个图形。

Ricker子波图：

t0, w0 = ricker(Frequency, length, dt)
plt.plot(t0, w0)
plt.xlabel('Time (s)')
plt.ylabel('Amplitude')
plt.title('Ricker Wavelet')
plt.show()

反射系数序列图：

plt.plot(L)
plt.xlabel('Layer')
plt.ylabel('Reflection Coefficient')
plt.title('Reflection Coefficient Sequence')
plt.show()

合成地震记录图：

plt.plot(t1, syn)
plt.xlabel('Time (s)')
plt.ylabel('Amplitude')
plt.title('Synthetic Seismic Record')
plt.show()

最后，将这三个图形组合成一个图形，并添加适当的标签和标题，可以使用以下代码：

fig, axs = plt.subplots(3, 1, figsize=(8, 10))

# Ricker Wavelet
axs[0].plot(t0, w0)
axs[0].set_xlabel('Time (s)')
axs[0].set_ylabel('Amplitude')
axs[0].set_title('Ricker Wavelet')

# Reflection Coefficient Sequence
axs[1].plot(L)
axs[1].set_xlabel('Layer')
axs[1].set_ylabel('Reflection Coefficient')
axs[1].set_title('Reflection Coefficient Sequence')

# Synthetic Seismic Record
axs[2].plot(t1, syn)
axs[2].set_xlabel('Time (s)')
axs[2].set_ylabel('Amplitude')
axs[2].set_title('Synthetic Seismic Record')

# Adjust spacing between subplots
fig.tight_layout()

plt.show()