如何在Python中组合Seaborn中的两个热图，使它们显示在同一热图中？

import matplotlib.pyplot as plt
import seaborn as sns

heatmap1 = sns.heatmap(data1)
heatmap2 = sns.heatmap(data2)

fig, ax = plt.subplots()
ax.imshow(heatmap1.get_array(), cmap=heatmap1.get_cmap(), extent=heatmap1.get_extent())
ax.imshow(heatmap2.get_array(), cmap=heatmap2.get_cmap(), extent=heatmap2.get_extent())

plt.colorbar(heatmap1)
plt.title("Combined Heatmaps")
plt.show()

import matplotlib.pyplot as plt
import seaborn as sns

# 绘制热图1
heatmap1 = sns.heatmap(data1)

# 绘制热图2
heatmap2 = sns.heatmap(data2)

# 创建图形对象
fig, ax = plt.subplots()

# 在同一图中绘制两个热图
ax.imshow(heatmap1.get_array(), cmap=heatmap1.get_cmap(), extent=heatmap1.get_extent())
ax.imshow(heatmap2.get_array(), cmap=heatmap2.get_cmap(), extent=heatmap2.get_extent())

# 添加颜色条和标题
plt.colorbar(heatmap1)
plt.title("Combined Heatmaps")

# 显示图形
plt.show()