这篇文章主要介绍了PYTHON绘制雷达图代码实例,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

1、雷达图

import matplotlib.pyplot as pltimport numpy as npvalues = [0.09,-0.05,0.20,-0.02,0.08,0.09,0.03,0.027]x = np.linspace(0,2*np.pi,9)[:-1]c = np.random.random(size=(8,3))fig = plt.figure()plt.axes(polar=True)#获取当前的axesprint(plt.gca())#绘图plt.bar(x,values,width=0.5,color=c,align='center')plt.scatter(x,values,marker='o',c='black')#添加文本plt.figtext(0.03,0.7,s='陆地面积增长指数',fontproperties='KaiTi',fontsize=22,rotation='vertical',verticalalignment='center',horizontalalignment='center')plt.ylim(-0.05, 0.25)labels = np.array(['省1','省2','省3','省4','省5','省6','省7','研究区'])dataLength = 8angles = np.linspace(0, 2*np.pi, dataLength, endpoint=False)plt.thetagrids(angles * 180/np.pi, labels,fontproperties='KaiTi',fontsize=18)#添加注释# plt.annotate(s='省',xy=(0,0.09),xytext=(0,0.28),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='省',xy=(0,-0.05),xytext=(np.pi/4,0.28),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='省',xy=(0,0.20),xytext=(np.pi/2,0.28),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='省',xy=(0,-0.02),xytext=(3*np.pi/4,0.33),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='省',xy=(0,0.08),xytext=(np.pi,0.38),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='省',xy=(0,0.09),xytext=(np.pi*5/4,0.35),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='前江省',xy=(0,0.03),xytext=(np.pi*3/2,0.30),fontproperties='KaiTi',fontsize=18)# plt.annotate(s='研究区',xy=(0,0.027),xytext=(np.pi*7/4,0.28),fontproperties='KaiTi',fontsize=18)#设置网格线样式plt.grid(c='gray',linestyle='--',)# y1 = [-0.05,0.0,0.05,0.10,0.15,0.20,0.25]# lai=fig.add_axes([0.12,0.01,0.8,0.98])# lai.patch.set_alpha(0.25)# lai.set_ylim(-0.05, 0.25)#显示plt.show()

结果：

2、实例2

import matplotlib.pyplot as pltimport numpy as npplt.rcParams['font.sans-serif'] = ['SimHei'] # 图例中文问题plt.rcParams['axes.unicode_minus'] = False #正负号问题x= np.array(['1省','2省','3省','4省','5省','6省','7省','研究区'])y1 = np.array([5.5, 7.2, 17.3, 15.0, 10.8, 21.8, 3.4, 81.4])y2 = [0, -27.5, -3.9, -18.0, -0.2, -1.4, -1.7, -52.1]y3 = [5.5, -20.2, 13.4, -2.9, 10.6, 20.4, 1.7, 28.5]loc=[0.12,0.15,0.65,0.6]plt.axes(loc)plt.bar(x,y1,0.4,label=u'退')plt.bar(x,y2,0.4,label=u'进')plt.plot(x,y3,marker='o',markersize='6',c='black')y=np.array([-50, 0 ,50])plt.xticks(x,fontproperties='KaiTi',fontsize=8)plt.yticks(y)plt.grid(c='gray',linestyle='--',alpha=0.25)plt.figtext(0.02,0.45,s='变化（km2）',fontproperties='KaiTi',fontsize=14,rotation='vertical',verticalalignment='center',horizontalalignment='center')#frameon=False 去掉图例边框plt.legend(loc='center', bbox_to_anchor=(1.2, 0.5),ncol=1, frameon=False)plt.show()

结果：

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。