如何在matplotlib中使用bar_label旋转标签？

Question

1. 如何使用 将条形图中的标签旋转 90 度matplotlib.bar_label()？

2. 在的文档matplotlib.bar_label()中，您能用一些示例解释以下参数的用法吗？

**kwargs：任何剩余的关键字参数都会传递到 Axes.annotate。

#CODE TO PRODUCE ABOVE SHOWN CHART

labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]

x = np.arange(len(labels))  # the label locations
width = 0.35  # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(x - width/2, men_means, width, label='Men')
rects2 = ax.bar(x + width/2, women_means, width, label='Women')

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(x, labels)
ax.legend()   

ax.bar_label(rects1, labels=["ABC","ABC","ABC","ABC","ABC"], padding=3, label_type='center')
ax.bar_label(rects2, labels=["DEF","DEF","DEF","DEF","DEF"], padding=3, label_type='center')

fig.tight_layout()

plt.show()