如何将六边形matplotlib图转换为交互式bokeh图？

import matplotlib.pyplot as plt
import numpy as np
from bokeh.plotting import figure, show
from bokeh.io import output_notebook

# 创建六边形Matplotlib图
hex_coords = np.array([[0, 0, 1, 1, 0.5, 0], [0, 1, 1.5, 0.5, 0, 0.5]])
hex_colors = ['red', 'blue', 'green', 'orange', 'purple', 'yellow']

fig, ax = plt.subplots()
ax.add_patch(plt.Polygon(hex_coords.T, color=hex_colors))
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
plt.axis('off')
plt.show()

# 将六边形图数据转换为Bokeh支持的数据格式
hex_coords_bokeh = hex_coords.tolist()
hex_colors_bokeh = hex_colors

# 创建Bokeh图
output_notebook()

p = figure(title='Interactive Hexagon Plot')
p.patches([hex_coords_bokeh], fill_color=hex_colors_bokeh, line_color='black')

# 添加交互式功能
p.hover.tooltips = [('Color', '@fill_color')]
p.add_tools(bokeh.models.WheelZoomTool())

# 显示Bokeh图
show(p)