一 代码
import numpy as npimport matplotlib.pyplot as plt#The slices will be ordered and plotted counter-clockwise.labels ='Frogs','Hogs','Dogs','Logs'sizes =[15,30,45,10]colors =['yellowgreen','gold','#FF0000','lightcoral']#使饼状图中第2片和第4片裂开explode =(0,0.1,0,0.1)fig = plt.figure()ax = fig.gca()ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,autopct='%1.1f%%', shadow=True, startangle=90,radius=0.25, center=(0,0), frame=True)ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,autopct='%1.1f%%', shadow=True, startangle=90,radius=0.25, center=(1,1), frame=True)ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,autopct='%1.1f%%', shadow=True, startangle=90,radius=0.25, center=(0,1), frame=True)ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,autopct='%1.1f%%', shadow=True, startangle=90,radius=0.25, center=(1,0), frame=True)#设置坐标轴刻度ax.set_xticks([0,1])ax.set_yticks([0,1])#设置坐标轴刻度上显示的标签ax.set_xticklabels(["Sunny","Cloudy"])ax.set_yticklabels(["Dry","Rainy"])#设置坐标轴跨度ax.set_xlim((-0.5,1.5))ax.set_ylim((-0.5,1.5))#设置纵横比相等ax.set_aspect('equal')plt.show()
二 运行结果
最后
以上就是拼搏皮皮虾最近收集整理的关于mapplotlib绘制饼状图的全部内容,更多相关mapplotlib绘制饼状图内容请搜索靠谱客的其他文章。
本图文内容来源于网友提供,作为学习参考使用,或来自网络收集整理,版权属于原作者所有。
发表评论 取消回复