动画 matplotlib imshow

让我首先澄清一下，我并不是想生成像中那样的随机游走线this和许多其他问题。我正在尝试制作一个随机游走热图，它会随着点的重新访问而改变颜色，例如this.

I've been able to create still-lifes like this: but I want to see the process.

我可以让图形显示出来，如果我在每一步打印数组，我可以看到步行正在工作。但人物本身并没有动画。我的代码：

import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib import animation as anim
import numpy as np
import sys
import random

length = int(sys.argv[1])

fig = plt.figure()
ax = plt.axes(xlim=(0, length-1), ylim=(0, length-1))
arr = np.zeros((length, length), dtype = int)

cmap = mpl.colors.LinearSegmentedColormap.from_list('my_colormap',
                                                    ['black','green','white'],
                                                    256)
bounds=[0,0,10,10]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)

im=plt.imshow(arr, interpolation='nearest',
              cmap = cmap,
              origin='lower')

x = int(np.random.random_sample() * length)
y = int(np.random.random_sample() * length)

def walk():
    global x, y
        rand = np.random.random_sample()
        if rand < 0.25 :
            if x == length - 1:
                x = 0
            else: x = x + 1
        elif rand < 0.5 :
            if x == 0:
                x = length - 1
            else: x = x - 1
        elif rand < 0.75 :
            if y == length - 1:
                y = 0
            else: y = y + 1
        else:
            if y == 0:
                y = length - 1
            else: y = y - 1
    return

def stand(arr):
    global x,y
    arr[x][y] = arr[x][y] + 1
    return arr

def animate(i):
    arr=im.get_array()
    walk()
    #print(a)
    arr = stand(arr)
    im.set_array(arr)
    return [im]

anim = anim.FuncAnimation(fig, animate, frames=200, interval=20, blit=True)
plt.show()

运行 Python 3.6，如打印所示。

有很多带有这些动画网格的视频，但我找不到任何答案！必须有人知道如何去做。谢谢！

I added animated=True and vmin=0, vmax=255, in the imshow()下面的函数。我也改变了stand()线路至arr[x][y] = arr[x][y] + 10.

#!/usr/bin/env python3
import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib import animation as anim
import numpy as np
import sys
import random

length = int(sys.argv[1])

fig = plt.figure()
ax = plt.axes(xlim=(0, length-1), ylim=(0, length-1))
arr = np.zeros((length, length), dtype = int)

cmap = mpl.colors.LinearSegmentedColormap.from_list('my_colormap',
                                                    ['black','green','white'],
                                                    256)
bounds=[0,0,10,10]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)

im=plt.imshow(arr, interpolation='nearest',
        cmap = cmap, vmin=0, vmax=255,
              origin='lower', animated=True) # small changes here

x = int(np.random.random_sample() * length)
y = int(np.random.random_sample() * length)

def walk():
    global x, y
    rand = np.random.random_sample()
    if rand < 0.25 :
        if x == length - 1:
            x = 0
        else: x = x + 1
    elif rand < 0.5 :
        if x == 0:
            x = length - 1
        else: x = x - 1
    elif rand < 0.75 :
        if y == length - 1:
            y = 0
        else: y = y + 1
    else:
        if y == 0:
            y = length - 1
        else: y = y - 1
    return

def stand(arr):
    global x,y
    arr[x][y] = arr[x][y] + 1000
    return arr

def animate(i):
    global x,y
    arr=im.get_array()
    walk()
    #print(a)
    arr = stand(arr)
    im.set_array(arr)
    return [im]

anim = anim.FuncAnimation(fig, animate, frames=200, interval=20, blit=True)
plt.show()

我运行它length = 50我得到一个动画。看见here。因此，您可能需要稍微调整一下颜色选择。