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  • matplotlib学习之函数积分图

    # coding:utf-8
    
    import numpy as np
    from matplotlib import pyplot as plt
    from matplotlib.patches import Polygon
    
    '''
    求函数积分
    '''
    
    
    def func(x):
        return -(x - 2) * (x - 8) + 40
    
    
    print(plt.style.available)
    plt.style.use("ggplot")
    
    # 绘制曲线
    x = np.linspace(0, 10)
    y = func(x)
    fig, ax = plt.subplots()
    plt.plot(x, y, linewidth=2)
    
    # 设置坐标轴
    a = 2
    b = 9
    ax.set_xticks([a, b])  # 设置横坐标2,9
    ax.set_yticks([])  # 设置纵坐标为空
    ax.set_xticklabels(['$a$', '$b$'])  # 设置横坐标显示为a,b
    plt.figtext(0.91, 0.09, '$x$')  # 设置坐标轴字母
    plt.figtext(0.11, 0.88, '$y$')
    
    # 确定多边形
    ix = np.linspace(a, b)
    iy = func(ix)
    ixy = zip(ix, iy)
    verts = [(a, 0)] + list(ixy) + [(b, 0)]
    poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')
    ax.add_patch(poly)
    
    # 添加数学公式
    x_math = (a + b) * 0.5
    y_math = 35
    plt.text(x_math, y_math, r'$int_a^b(-(x - 2) * (x - 8) + 40)$', fontsize=13, horizontalalignment='center')
    
    plt.title('functional integration')
    plt.show()

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  • 原文地址:https://www.cnblogs.com/jasonhaven/p/7632556.html
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