数据可视化之matplotlib实战：plt.pie() 绘制内嵌环形饼图

import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np # 防止乱码 mpl.rcParams["font.sans-serif"] = ["SimHei"] mpl.rcParams["axes.unicode_minus"] = False elements = ["面粉","砂糖","奶油","草莓酱","坚果"] weight1 = [40,15,20,10,15] weight2 = [30,25,15,20,10] colormapList = ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00"] outer_colors = colormapList inner_colors = colormapList wedges1,texts1,autotexts1 = plt.pie(weight1, autopct="%3.1f%%", radius=1, pctdistance=0.85, colors=outer_colors, textprops=dict(color="w"), wedgeprops=dict(width=0.3,edgecolor="w")) wedges2,texts2,autotexts2 = plt.pie(weight2, autopct="%3.1f%%", radius=0.7, pctdistance=0.75, colors=inner_colors, textprops=dict(color="w"), wedgeprops=dict(width=0.3,edgecolor="w")) plt.legend(wedges1, elements, fontsize=12, title="配料表", loc = "center_left", bbox_to_anchor=(0.91,0,0.3,1)) plt.setp(autotexts1,size=12,weight = "bold") plt.setp(autotexts2,size=12,weight = "bold") plt.setp(texts1,size=10) plt.title("不同果酱面包配料比例表") plt.show()