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(['省1','省2','省3','省4','省5','省6','省7','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='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 plt import numpy as np plt.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：
实例3.
