# -*- coding: gbk -*-
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
kinds = ['童装', '奶粉辅食', '孕妈专区', '洗护喂养', '宝宝尿裤', '春夏新品', '童车童床', '玩具文娱', '童鞋']
sales = np.array([29665, 3135.4, 4292.4, 5240.9, 5543.4, 5633.8, 6414.5, 9308.1, 10353])
sales_total = np.sum(sales)
sales_scale = [i / sales_total for i in sales]
plt.pie(sales_scale, labels=kinds, autopct='%3.1f%%')
plt.show()
# 添加标题为“拼多多平台子类目的销售额”；
# 添加图例，以两列的形式进行显示；
# 添加表格，说明子类目的销售额。
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
kinds = ['童装', '奶粉辅食', '孕妈专区', '洗护喂养', '宝宝尿裤', '春夏新品', '童车童床', '玩具文娱', '童鞋']
sales = np.array([29665, 3135.4, 4292.4, 5240.9, 5543.4, 5633.8, 6414.5, 9308.1, 10353])
sales_total = np.sum(sales)
sales_scale = [i / sales_total for i in sales]
cell_text = [29665, 3135.4, 4292.4, 5240.9, 5543.4, 5633.8, 6414.5, 9308.1, 10353]
plt.pie(sales_scale, autopct='%3.1f%%')
plt.title('拼多多平台子类目的销售额')
plt.legend(kinds, loc='upper right', bbox_to_anchor=[1.5, 1.0], ncol=2)
plt.table(cellText=[cell_text], rowLabels=['销售额(亿)'], colLabels=kinds, loc='lower right')
plt.show()
