我应该如何修改我下面的代码，使两个标记共享相同的标签，同时保持图例中的补丁的黑色边缘？这里是代码（我已经绘制了两次条形图，以解耦边缘颜色和阴影颜色）和绘制的图片。我想使标记如第二张图片所示。

import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
import matplotlib.pyplot as plt

x_lable = ['3', '4', '5', '6', '7']

width = 0.3

Data1 = [96, 99, 100, 100, 100]
Data2 = [94, 96, 95, 96, 95]
Data3 = [48, 43, 42, 42, 37]

data_3 = [2228, 2621, 3165, 3761, 3763]
data_4 = [3895, 5670, 7354, 8999, 10731]
data_5 = [4355, 6373, 8279, 10105, 12018]

xcoordinate = [1, 3, 5, 7, 9]
xcoordinate_1 = [xcoordinate[0] + 0 * width, xcoordinate[1] + 0 * width, xcoordinate[2] + 0 * width, xcoordinate[3] + 0 * width, xcoordinate[4] + 0 * width]
xcoordinate_2 = [xcoordinate[0] + 1 * width, xcoordinate[1] + 1 * width, xcoordinate[2] + 1 * width, xcoordinate[3] + 1 * width, xcoordinate[4] + 1 * width]
xcoordinate_3 = [xcoordinate[0] + 2 * width, xcoordinate[1] + 2 * width, xcoordinate[2] + 2 * width, xcoordinate[3] + 2 * width, xcoordinate[4] + 2 * width]
xcoordinate_4 = [xcoordinate[0] + 3 * width, xcoordinate[1] + 3 * width, xcoordinate[2] + 3 * width, xcoordinate[3] + 3 * width, xcoordinate[4] + 3 * width]
xcoordinate_5 = [xcoordinate[0] + 4 * width, xcoordinate[1] + 4 * width, xcoordinate[2] + 4 * width, xcoordinate[3] + 4 * width, xcoordinate[4] + 4 * width]

fig = plt.figure()

# plot ax1
ax1 = fig.add_subplot(111)

ax1.bar(xcoordinate_3, data_3, width=width, label='GGG', color='none', edgecolor='orange', hatch='\\\\\\')
ax1.bar(xcoordinate_4, data_4, width=width, label='SSS', color='none', edgecolor='blue', hatch='---')
ax1.bar(xcoordinate_5, data_5, width=width, label='KKK', color='none', edgecolor='orangered', hatch='///')

ax1.set_ylabel('BBB')
ax1.set_xlabel('AAA')

ax1.bar(xcoordinate_3, data_3, width=width, label='GGG', color='none', edgecolor='black')
ax1.bar(xcoordinate_4, data_4, width=width, label='SSS', color='none', edgecolor='black')
ax1.bar(xcoordinate_5, data_5, width=width, label='KKK', color='none', edgecolor='black')

handles1, labels1 = ax1.get_legend_handles_labels()
order = [0, 1, 2]
plt.legend([handles1[idx] + handles1[idx+3] for idx in order], [labels1[idx] for idx in order], loc=(2.5/10, 1.08), frameon=True, ncol=3, shadow=False, framealpha=1, labelspacing=1.05).get_frame().set_edgecolor('black')

# plot ax2
ax2 = ax1.twinx()

ax2.plot([i + 3 * width for i in xcoordinate], Data3, label='GGG', color='orange', linestyle='-', marker='p')
ax2.plot([i + 3 * width for i in xcoordinate], Data2, label='SSS', color='orangered', linestyle='-', marker='s')
ax2.plot([i + 3 * width for i in xcoordinate], Data1, label='KKK', color='limegreen', linestyle='-', marker='^')

ax2.set_ylabel('CCC')
plt.xticks([i + 3 * width for i in xcoordinate], x_lable)

handles2, labels2 = ax2.get_legend_handles_labels()
order = [0, 1, 2]
plt.legend([handles2[idx] for idx in order], [labels2[idx] for idx in order],  loc=(2.5/10, 1.005),  frameon=True, ncol=3, shadow=False, framealpha=1, labelspacing=1.05).get_frame().set_edgecolor('black')

plt.show()

绘制图片：

我想要的：

当两个制造商共享同一个标签时，我想保留补丁的黑边。