在python和matplotlib中動畫軸的大小和2個連續的動畫

Question

我在教自己的python數學動畫，所以我甚至不知道我問的是否可以用matplotlib。我想要的是 （1）的軸開始小，然後展開。在此之後，我想要它 （2）順序（一個接一個地）繪製兩行，而不是同時（在同一時間），它正在做什麼。
我的代碼如下，除了我嘗試擴展軸（最好我的嘗試沒有崩潰蟒蛇）。

import time 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.animation as animation 
#from matplotlib.animation import FuncAnimation 


maxsize = 8 
size = 1 
fig = plt.figure(figsize=(maxsize, maxsize)) 
# fig will start at "size" if I ever figure out the animation 
xmin = -10 
xmax = 10 
ymin = -10 
ymax = 10 
ax = plt.axes(xlim=(xmin, xmax), ylim=(ymin, ymax)) 
plt.axhline(linewidth=3, color='black') 
plt.axvline(linewidth=3, color='black') 
line, = ax.plot([], [], lw=2) 


def init1(): 
    line.set_data([], []) 
    return line, 

def animate1(i): 
    x1 = np.linspace(-10, i/5 - 10, 1000) 
    y1 = -1*x1 
    line.set_data(x1, y1) 
    return line, 

def init2(): 
    line.set_data([], []) 
    return line, 

def animate2(j): 
    x2 = np.linspace(0, j/10, 1000) 
    y2 = 2*x2 
    line.set_data(x2, y2) 
    return line, 

plt.grid() 
plt.xticks(np.arange(xmin, xmax+1, 1.0)) 
plt.yticks(np.arange(ymin, ymax+1, 1.0)) 

anim1 = animation.FuncAnimation(fig, animate1, init_func=init1, 
    frames=100, interval=20, blit=True) 
plt.plot() 
plt.show() 
time.sleep(1) 
anim2 = animation.FuncAnimation(fig, animate2, init_func=init2, 
    frames=100, interval=20, blit=True) 
plt.plot() 
plt.show() 

所以我想我的問題是： 是我想在matplotlib做可能嗎？一？另一個？都？ 如果是這樣，我該怎麼做。

Answer 1

我不知道如何將你的三個步驟連在一起，我不確定有沒有一個優雅的方式。

不過，我嘗試了創建與下面的代碼爲「成長」軸：

fig_size_w = 9 # inches 
fig_size_h = 9 # inches 
ax_bottom_x = 0.1 # fig fraction 
ax_bottom_y = 0.1 # fig fraction 
ax_init_x = 0.1 # fig fraction 
ax_init_y = 0.1 # fig fraction 
ax_final_x = 0.9 # fig fraction 
ax_final_y = 0.9 # fig fraction 
grow_steps = 100 # number of steps in the growing process 
xmin = -10 
xmax = 10 
ymin = -10 
ymax = 10 

grow_step_x = (ax_final_x - ax_init_x)/grow_steps 
grow_step_y = (ax_final_y - ax_init_y)/grow_steps 

fig = plt.figure(figsize=(fig_size_w, fig_size_h)) 
ax = fig.add_axes([ax_bottom_x, ax_bottom_y, 0, 0]) 

def init(): 
    ax.axhline(linewidth=3, color='black') 
    ax.axvline(linewidth=3, color='black') 
    ax.grid() 
    ax.set_xticks(np.arange(xmin, xmax+1, 1.0)) 
    ax.set_yticks(np.arange(ymin, ymax+1, 1.0)) 

def animate(i): 
    ax.set_position([ax_bottom_x, ax_bottom_y, (i+1)*grow_step_x, (i+1)*grow_step_y]) 


anim = matplotlib.animation.FuncAnimation(fig, animate, frames=grow_steps, init_func=init, interval=10) 

編輯

其實，我今天在思考這個問題，我有想到創建一個主函數animate()函數，它將接受包含一系列幀的字典作爲參數，併爲每個幀執行一個函數指針。 的代碼可以改善了很多，但概念的證明了這一點的工作：

fig_size_w = 9 # inches 
fig_size_h = 9 # inches 
ax_bottom_x = 0.1 # fig fraction 
ax_bottom_y = 0.1 # fig fraction 
ax_init_x = 0.1 # fig fraction 
ax_init_y = 0.1 # fig fraction 
ax_final_x = 0.9 # fig fraction 
ax_final_y = 0.9 # fig fraction 
grow_steps = 100 # number of steps in the growing process 
xmin = -10 
xmax = 10 
ymin = -10 
ymax = 10 

grow_step_x = (ax_final_x - ax_init_x)/grow_steps 
grow_step_y = (ax_final_y - ax_init_y)/grow_steps 

fig = plt.figure(figsize=(fig_size_w, fig_size_h)) 
ax = fig.add_axes([ax_bottom_x, ax_bottom_y, 0, 0]) 
line, = ax.plot([],[], lw=2) 

def init(): 
    ax.axhline(linewidth=3, color='black') 
    ax.axvline(linewidth=3, color='black') 
    ax.grid() 
    ax.set_xticks(np.arange(xmin, xmax+1, 1.0)) 
    ax.set_yticks(np.arange(ymin, ymax+1, 1.0)) 

def animate(i, func_dict): 
    a = [] 
    for max_i,func in func_dict.items(): 
     if i < max_i: 
      a = func(i) 
      break 
    return a 

def func_grow(i): 
    ax.set_position([ax_bottom_x, ax_bottom_y, (i+1)*grow_step_x, (i+1)*grow_step_y]) 
    return [] 

def func_pause(i): 
    pass 
    return [] 

def func_line1(i): 
    i-=(grow_steps+100) # need to remove offset value in i for it to start at 0 
    x1 = np.linspace(-10, i/5 - 10, 1000) 
    y1 = -1*x1 
    line.set_data(x1, y1) 
    return line, 

def func_line2(j): 
    j-=(grow_steps+300) # need to remove offset value in j for it to start at 0 
    x2 = np.linspace(0, j/10, 1000) 
    y2 = 2*x2 
    line.set_data(x2, y2) 
    return line, 


anim = matplotlib.animation.FuncAnimation(fig, animate, frames=grow_steps+400, init_func=init, interval=10, 
              fargs=({grow_steps: func_grow, 
                grow_steps+100: func_pause, 
                grow_steps+200: func_line1, 
                grow_steps+300: func_pause, 
                grow_steps+400: func_line2},)) 

注：我不得不降低圖形的大小以適合的imgur