import matplotlib.pyplot as plt data = selected_goods['child_percent'] labels = selected_goods['Goods'] # 设置画布大小 plt.figure(figsize = (8,6)) # 设置每一块分割出的间隙大小 explode = (0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.08,0.3,0.1,0.3) plt.pie(data,explode = explode,labels = labels,autopct = '%1.2f%%', pctdistance = 1.1,labeldistance = 1.2) # 设置标题 plt.title("Percentage of sales by item within non-alcoholic beverages") plt.axis('equal') # 保存图形 plt.savefig('child_persent.png') # 展示图形 plt.show()标解注释

这段代码使用 Matplotlib 绘制了一个饼图，表示非酒精饮料内部各商品销售量占比。具体解释如下：

1. `data = selected_goods['child_percent']` 和 `labels = selected_goods['Goods']` 分别取出每个商品销售量占总销售量的百分比和商品名称，用于绘制饼图。

2. `plt.figure(figsize = (8,6))` 设置画布的大小为 8x6。

3. `explode = (0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.08,0.3,0.1,0.3)` 设置每一块分割出的间隙大小，使得某些块分离出来，突出显示。

4. `plt.pie(data,explode = explode,labels = labels,autopct = '%1.2f%%', pctdistance = 1.1,labeldistance = 1.2)` 绘制饼图，其中 `data` 是每个商品销售量占总销售量的百分比，`explode` 是每一块分割出的间隙大小，`labels` 是每个商品的名称，`autopct` 是设置每一块的文本标签格式，`pctdistance` 是设置每一块的文本标签距离圆心的距离，`labeldistance` 是设置每个标签距离饼图的距离。

5. `plt.title("Percentage of sales by item within non-alcoholic beverages")` 设置饼图的标题。

6. `plt.axis('equal')` 将 x 轴和 y 轴的比例设置为相等的，使得饼图呈圆形。

7. `plt.savefig('child_persent.png')` 将饼图保存为一个 PNG 文件。

8. `plt.show()` 展示饼图。