• python绘图实例


    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'')
    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.

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  • 原文地址:https://www.cnblogs.com/bltstop/p/11399789.html
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