import numpy as np import matplotlib.pyplot as pltplt.figure(figsize=(9,9))# 環(huán)形餅圖元素 recipe = ["225g flour","90g sugar","1 egg","60g butter","100ml milk","1/2package of yeast"]# ?例 data = [225, 90, 50, 60, 100, 5]wedges, texts = plt.pie(data,startangle=40) bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)kw = dict(arrowprops=dict(arrowstyle="-"),bbox=bbox_props,va="center")for i, p in enumerate(wedges):ang = (p.theta2 - p.theta1)/2. + p.theta1 # ?度計(jì)算# ?度轉(zhuǎn)弧度----->弧度轉(zhuǎn)坐標(biāo)y = np.sin(np.deg2rad(ang))x = np.cos(np.deg2rad(ang))ha = {-1: "right", 1: "left"}[int(np.sign(x))] # ?平對(duì)??式connectionstyle = "angle,angleA=0,angleB={}".format(ang) # 箭頭連接樣式kw["arrowprops"].update({"connectionstyle": connectionstyle}) # 更新箭頭連接?式plt.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),ha=ha,**kw,fontsize = 18,weight = 'bold')plt.title("Matplotlib bakery: A donut",fontsize = 18,pad = 25) plt.tight_layout()

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