• python学习之matplotlib实战


    import numpy as np
    def main():
        # print("hello")
        # line
        import matplotlib.pyplot as plt
        x = np.linspace(-np.pi, np.pi, 256, endpoint=True)
        # print(x)
        c, s = np.cos(x), np.sin(x)
        plt.figure(1)  # 绘制第一个图
        plt.plot(x, c, color="blue", linewidth=1.0, linestyle='-', label="COS", alpha=0.5)  # 绘制cos
        plt.plot(x, s,  color="red", linewidth=1.0, linestyle='--', label="SIN", alpha=0.5)  # 绘制sin
        plt.title("cos & sin")  # 添加标题
        ax = plt.gca()  # 轴的编辑器
        ax.spines["right"].set_color("none")
        ax.spines["top"].set_color("none")
        ax.spines["left"].set_position(("data", 0))
        ax.spines["bottom"].set_position(("data", 0))
        ax.xaxis.set_ticks_position('bottom')
        ax.yaxis.set_ticks_position('left')
        plt.xticks([-np.pi, -np.pi / 2, 0,np.pi /2 , np.pi ],
                   [r'$-pi$',r'$-pi/2$',r'$0$', r'$+pi/2$',r'$+pi$'])
        plt.yticks(np.linspace(-1,1,5,endpoint=True))
        for label in ax.get_xticklabels()+ ax.get_yticklabels():
            label.set_fontsize(16)
            label.set_bbox(dict(facecolor='white', edgecolor='None'
                                                             ,alpha=0.2))
        plt.legend(loc='upper left')
        plt.grid()
       # plt.axis([-1,1,-0.5,1])
        plt.fill_between(x,np.abs(x)<0.5,c ,c >0.5,color='green',alpha=0.25)
        t =1
        plt.plot([t,t],[0,np.cos(t)],'y',linewidth=3,linestyle='--')
        plt.annotate('cos(1)',xy=(t,np.cos(1)), xycoords ='data', xytext=(+10,+30),arrowprops=dict(arrowstyle='->',connectionstyle='arc3,rad=.2')
                    )
        plt.show()
    
    
    if __name__ == '__main__':
        main()
    

      

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  • 原文地址:https://www.cnblogs.com/gylhaut/p/9094815.html
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