matplotlib绘制虎扑社区长沙市用户地域分布环形图（源码）

# -*- 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()