Python編程使用matplotlib繪制動態圓錐曲線示例

作為讓高中生心臟驟停的四個字,對於高考之後的人來說可謂刻骨銘心,所以定義不再贅述,直接擼圖,其標準方程分別為

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在Python中,繪制動圖需要用到matplotlib中的animation包,其調用方法以及接下來要用到的參數為

ani = animation.FuncAnimation(fig, func, frames, interval)

其中fig為繪圖窗口,func為繪圖函數,其返回值為圖像,frames為迭代參數,如果為整型的話,其迭代參數則為range(frames)

橢圓

為瞭繪圖方便,橢圓的參數方程為

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代碼為:

# 這三個包在後面的程序中不再復述
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
a,b,c = 5,3,4
fig = plt.figure(figsize=(12,9))
ax = fig.add_subplot(autoscale_on=False, 
    xlim=(-a,a),ylim=(-b,b))
ax.grid()
line, = ax.plot([],[],'o-',lw=2)
trace, = ax.plot([],[],'-', lw=1)
theta_text = ax.text(0.02,0.85,'',transform=ax.transAxes)
textTemplate = '''theta = %.1f°\n
lenL = %.1f, lenR = %.1f\n
lenL+lenR = %.1f'''
xs,ys = [], []
def animate(i):
    if(i==0):
        xs.clear()
        ys.clear()
    theta = i*0.04
    x = a*np.cos(theta)
    y = b*np.sin(theta)
    xs.append(x)
    ys.append(y)
    line.set_data([-c,x,c], [0,y,0])
    trace.set_data(xs,ys)
    lenL = np.sqrt((x+c)**2+y**2)
    lenR = np.sqrt((x-c)**2+y**2)
    theta_text.set_text(textTemplate % 
        (180*theta/np.pi, lenL, lenR, lenL+lenR))
    return line, trace, theta_text
ani = animation.FuncAnimation(fig, animate, 157, 
    interval=5, blit=True)
ani.save("ellipse.gif")
plt.show()

雙曲線

雙曲線的參數方程為

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設 a = 4 , b = 3 , c = 5 則代碼如下

a,b,c = 4,3,5
fig = plt.figure(figsize=(12,9))
ax = fig.add_subplot(autoscale_on=False, 
    xlim=(-c,16),ylim=(-12,12))
ax.grid()
line, = ax.plot([],[],'o-',lw=2)
trace, = ax.plot([],[],'-', lw=1)
theta_text = ax.text(0.01,0.85,'',
    transform=ax.transAxes)
textTemplate = '''t = %.1f\n
lenL = %.1f, lenR = %.1f\n
lenL-lenR = %.1f'''
xs,ys = [],[]
def animate(t):
    if(t==-3):
        xs.clear()
        ys.clear()
    x = a*np.cosh(t)
    y = b*np.sinh(t)
    xs.append(x)
    ys.append(y)
    line.set_data([-c,x,c], [0,y,0])
    trace.set_data(xs,ys)
    lenL = np.sqrt((x+c)**2+y**2)
    lenR = np.sqrt((x-c)**2+y**2)
    theta_text.set_text(textTemplate % 
        (t, lenL, lenL, lenL-lenR))
    return line, trace, theta_text
frames = np.arange(-3,3,0.05)
ani = animation.FuncAnimation(fig, animate, 
    frames, interval=5, blit=True)
ani.save("hyperbola.gif")

plt.show()

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拋物線

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import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
a,b,c = 4,3,5
p = 1
fig = plt.figure(figsize=(12,9))
ax = fig.add_subplot(autoscale_on=False, 
    xlim=(-0.6,4.5),ylim=(-3,3))
ax.grid()
ax.plot([-p/2,-p/2],[-5,5],'-',lw=2)
line, = ax.plot([],[],'o-',lw=2)
trace, = ax.plot([],[],'-', lw=1)
theta_text = ax.text(0.05,0.85,'',
    transform=ax.transAxes)
textTemplate = '''y = %.1f\n
lenL = %.1f, lenF = %.1f\n
lenL-lenF = %.1f'''
xs,ys = [],[]
def animate(y):
    if(y==-3):
        xs.clear()
        ys.clear()
    x = y**2/p/2
    xs.append(x)
    ys.append(y)
    line.set_data([-p,x,p/2], [y,y,0])
    trace.set_data(xs,ys)
    lenL = x+p/2
    lenF = np.sqrt((x-p/2)**2+y**2)
    theta_text.set_text(textTemplate % 
        (y, lenL, lenF, lenL-lenF))
    return line, trace, theta_text
frames = np.arange(-3,3,0.1)
ani = animation.FuncAnimation(fig, animate, 
    frames, interval=5, blit=True)
ani.save("parabola.gif")
plt.show()

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極坐標方程

圓錐曲線在極坐標系下有相同的表達式,即

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matplotlib中,極坐標圖像需要通過projection='polar'來標識,其代碼為

p = 2
fig = plt.figure(figsize=(12,9))
ax = fig.add_subplot(autoscale_on=False, projection='polar')
ax.set_rlim(0,8)
trace, = ax.plot([],[],'-', lw=1)
theta_text = ax.text(0.05,0.95,'',transform=ax.transAxes)
textTemplate = 'e = %.1f\n'
theta = np.arange(-3.1,3.2,0.1)
def animate(e):
    rho = p/(1-e*np.cos(theta))
    trace.set_data(theta,rho)
    theta_text.set_text(textTemplate % e)
    return trace, theta_text
frames = np.arange(-2,2,0.1)
ani = animation.FuncAnimation(fig, animate, 
    frames, interval=100, blit=True)
ani.save("polar.gif")
plt.show()

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以上就是Python使用matplotlib繪制動態的圓錐曲線示例的詳細內容,更多關於matplotlib繪制動態圓錐曲線的資料請關註WalkonNet其它相關文章!

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