1、雷达图
import matplotlib.pyplot as plt import numpy as np values = [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axes print(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(['建江省','金瓯省','薄撩省','朔庄省','茶荣省','槟枳省','前江省','研究区']) dataLength = 8 angles = 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='建江省',xy=(0,0.09),xytext=(0,0.28),fontproperties='KaiTi',fontsize=18) # plt.annotate(s='金瓯省',xy=(0,-0.05),xytext=(np.pi/4,0.28),fontproperties='KaiTi',fontsize=18) # plt.annotate(s='薄撩省',xy=(0,0.20),xytext=(np.pi/2,0.28),fontproperties='KaiTi',fontsize=18) # plt.annotate(s='朔庄省',xy=(0,-0.02),xytext=(3*np.pi/4,0.33),fontproperties='KaiTi',fontsize=18) # plt.annotate(s='茶荣省',xy=(0,0.08),xytext=(np.pi,0.38),fontproperties='KaiTi',fontsize=18) # plt.annotate(s='槟枳省',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: