如何在 Matplotlib 中用每个条形的多个值注释分组条形图？

分组条形图的多个注释

问题：
尝试使用 Matplotlib 创建分组条形图时，输出显示不正确.

代码示例：

<code class="python">import matplotlib.pyplot as plt

# sample data
labels = ['Label 1', 'Label 2', 'Label 3']
data1 = [5, 10, 15]
data2 = [15, 10, 5]

# create the bar chart
plt.bar(labels, data1, 0.4, label='Data Set 1')
plt.bar(labels, data2, 0.4, label='Data Set 2', bottom=data1)

# attempt to annotate each bar
for i in range(3):
    plt.annotate(data1[i], (labels[i], data1[i]), xytext=(-5, 5), textcoords='offset points')
    plt.annotate(data2[i], (labels[i], data2[i]+data1[i]), xytext=(-5, 5), textcoords='offset points')

plt.legend()
plt.show()</code>

预期输出：

每个条形都应标注其各自的值。

解决方法：

方法一：使用bar_label

<code class="python">import matplotlib.pyplot as plt

plt.bar(labels, data1, 0.4, label='Data Set 1')
plt.bar(labels, data2, 0.4, label='Data Set 2', bottom=data1)

for i in range(3):
    plt.bar_label(plt.gca().containers[i], labels=(data1[i], data2[i]), fmt='%.1f', padding=10)

plt.legend()
plt.show()</code>

方法二：使用annotate

<code class="python">import matplotlib.pyplot as plt

plt.bar(labels, data1, 0.4, label='Data Set 1')
plt.bar(labels, data2, 0.4, label='Data Set 2', bottom=data1)

for i in range(3):
    height1 = data1[i]
    height2 = data2[i]

    # annotate for data set 1
    plt.annotate(str(height1), (labels[i], height1), xytext=(0, 5), textcoords='offset points')

    # annotate for data set 2
    plt.annotate(str(height2), (labels[i], height1 + height2), xytext=(0, 5), textcoords='offset points')

plt.legend()
plt.show()
````
</code>

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