matplotlib - 更快的幀速率？

Question

我寫了一個簡單的腳本，基於代碼here

我只需要顯示點，不需要線。

下面的腳本正確顯示的點，但我想看到的點在假設30fps的幀速率移動更快，在可配置的方式。

import matplotlib 
matplotlib.use('TKAgg') 

import numpy as np 
from matplotlib import pyplot as plt 
from mpl_toolkits.mplot3d import Axes3D 
from matplotlib.colors import cnames 
from matplotlib import animation 

NbOfObjects = 3 

fig = plt.figure() 

ax = fig.add_axes([0, 0, 1, 1], projection='3d') 
ax.axis('on') 

ax.set_xlim((-1.5, 1.5)) 
ax.set_ylim((-1.5, 1.5)) 
ax.set_zlim((0, 1.5)) 

ax.set_xlabel('x axis') 
ax.set_ylabel('y axis') 
ax.set_zlabel('z axis') 

# set point-of-view: specified by (altitude degrees, azimuth degrees) 
ax.view_init(30, 30) 

# choose a different color for each trajectory 
colors = plt.cm.jet(np.linspace(0, 1, NbOfObjects)) 

# set up points 
pts = sum([ax.plot([], [], [], 'o', c=c) 
      for c in colors], []) 

data = [[[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 0.0, 0.0], [0.0, -1.0, 1.0], [-1.0, 1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[1.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, -1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]], 
     [[0.0, 0.0, 0.0], [-1.0, -1.0, 1.0], [1.0, 1.0, 1.0]]] 


# initialization function: plot the background of each frame 
def init(): 
    for pt in pts: 
     pt.set_data([], []) 
     pt.set_3d_properties([]) 

    return pts 


def animate(i): 

    print "i: ", i 

    for pt, positon in zip (pts, data[i]): 

     x = positon[0] 
     y = positon[1] 
     z = positon[2] 

     pt.set_data(x, y) 
     pt.set_3d_properties(z) 

    fig.canvas.draw() 

    return pts 

anim = animation.FuncAnimation(fig, animate, init_func=init, interval=1, frames=len(data), blit=True, repeat=False) 

plt.show() 

1. 如何在屏幕上的幀的顯示涉及在animation.FuncAnimation「間隔」參數？ （我不能讓它在不到5秒的時間內顯示50幀）

2. 此設計是處理長時間潛在30fps大量點（10+）的最佳方式嗎？ （「數據」在1小時內會很大）。

我還在研究各種示例，但沒有顯示簡單的3D動畫散點圖。

謝謝。

Answer 1

1. 從the documentation：

   kwargs include repeat , repeat_delay , and interval : interval draws a new frame every interval milliseconds. repeat controls whether the animation should repeat when the sequence of frames is completed. repeat_delay optionally adds a delay in milliseconds before repeating the animation.

   然而，這僅設置中的幀速率的上限 - 如果時間過長畫一個框，然後你會看到一個較慢的幀速率

2. 如果你點的數量較多，你想要做的事，如：

   data = np.array(data) 
   
   # in init, get a single mpl_toolkits.mplot3d.art3d.Line3D object 
   # the comma is important! 
   pts, = ax.plot([], [], [], 'o', c=colors) 
   
   # in update() 
   pts.set_data(data[i,:,0], data[i,:,1]) 
   pts.set_3d_properties(data[i,:,2]) 
   

   因此，你可以消除for循環