填充两个功能之间的区域

时间:2015-04-12 09:15:54

标签: python matplotlib plot

import matplotlib.pyplot as plt
import numpy as np

def domain():
    x = np.arange(0, 10, 0.001)

    f1 = lambda x: (2*x - x**2)**0.5
    plt.plot(x, f1(x), label = '$y = \sqrt{2x - x^2}$')
    plt.plot(f1(x), x, label = '$x = \sqrt{2y - y^2}$')
    plt.xlabel('X')
    plt.ylabel('Y')
    plt.legend(loc='best')


    axes = plt.gca()
    axes.set_xlim([0, 5])
    axes.set_ylim([0, 5])
    plt.show()

domain()

enter image description here

如何利用fill_between()填充2行之间的区域?换句话说,我怎样才能在绿线和蓝线之间填充小花瓣?

2 个答案:

答案 0 :(得分:5)

@user 5061在代码上是正确的,反函数在那里

import matplotlib.pyplot as plt
import numpy as np

def domain():
    x = np.arange(0, 10, 0.001)

    f1 = lambda x: (2*x - x**2)**0.5
    f2 = lambda x: 1 - (1-x*x)**0.5 # other part is f2 = lambda x: 1 + (1-x*x)**0.5
    plt.plot(x, f1(x), label = '$y = \sqrt{2x - x^2}$')
    plt.plot(f1(x), x, label = '$x = \sqrt{2y - y^2}$')
    plt.fill_between(x, f1(x), f2(x), where=f1(x)>=f2(x), interpolate=True, color='yellow')
    plt.xlabel('X')
    plt.ylabel('Y')
    plt.legend(loc='best')


    axes = plt.gca()
    axes.set_xlim([0, 5])
    axes.set_ylim([0, 5])
    plt.show()

domain()

不采用正面成分1 + (1-x*x)**0.5,因为它不会影响交叉点。

enter image description here

答案 1 :(得分:2)

您可以使用fill_between()并在满足条件时在两行之间填写。

enter image description here

(我改变了你的代码,因为你写它的方式我必须找到f1的反函数)

import matplotlib.pyplot as plt
import numpy as np

def domain():
    x = np.arange(0, 2, 0.001)

    f = lambda x: x**0.5
    g = lambda x: x**2
    plt.plot(x, f(x), label = '$y = \sqrt{2x - x^2}$')
    plt.plot(x, g(x), label = '$x = \sqrt{2y - y^2}$')
    plt.xlabel('X')
    plt.ylabel('Y')
    plt.legend(loc='best')

    plt.fill_between(x, f(x), g(x),where=f(x) > g(x))

    axes = plt.gca()
    axes.set_xlim([0, 2])
    axes.set_ylim([0, 2])

    plt.show()

domain()