动画Matplotlib IMShow [英] Animated matplotlib imshow
问题描述
首先让我澄清一下，我不是要像，但我想看看这个过程.
我可以显示出该图，并且如果我在每个步骤中打印阵列，都可以看到该步道正在运行.但是这个角色本身并没有动起来.我的代码:
将matplotlib导入为mpl从matplotlib导入pyplot作为plt从matplotlib导入动画作为动画将numpy导入为np导入系统随机导入长度= int(sys.argv [1])无花果= plt.figure()ax = plt.axes(xlim =(0，长度-1)，ylim =(0，长度-1))arr = np.zeros((长度，长度)，dtype =整数)cmap = mpl.colors.LinearSegmentedColormap.from_list('my_colormap'，['黑色'，'绿色'，'白色']，256)界限= [0,0,10,10]范数= mpl.colors.BoundaryNorm(bounds，cmap.N)im = plt.imshow(arr，插值='最近'，cmap = cmap，origin ='lower')x = int(np.random.random_sample()*长度)y = int(np.random.random_sample()*长度)def walk():全局x，yrand = np.random.random_sample()如果rand<0.25:如果x ==长度-1:x = 0否则:x = x + 1埃利夫·兰德<0.5:如果x == 0:x =长度-1否则:x = x-1埃利夫·兰德<0.75:如果y ==长度-1:y = 0否则:y = y + 1别的:如果y == 0:y =长度-1否则:y = y-1返回def stand(arr):全局x，yarr [x] [y] = arr [x] [y] + 1返回arrdef animate(i):arr = im.get_array()走()#print(a)arr =站位(arr)im.set_array(arr)返回[im]anim = anim.FuncAnimation(无花果，动画，帧数= 200，间隔= 20，蓝调=真)plt.show() 运行Python 3.6，如印刷品所示.
有这么多带有这些动画网格的视频，我找不到任何答案！有人必须知道该怎么做.谢谢！
我在中添加了函数.我还将 animated = True 和 vmin = 0，vmax = 255，下面的imshow() stand()行更改为 arr [x] [y] = arr [x] [y] + 10 .
#！/usr/bin/env python3将matplotlib导入为mpl从matplotlib导入pyplot作为plt从matplotlib导入动画作为动画将numpy导入为np导入系统随机导入长度= int(sys.argv [1])无花果= plt.figure()ax = plt.axes(xlim =(0，长度-1)，ylim =(0，长度-1))arr = np.zeros((长度，长度)，dtype =整数)cmap = mpl.colors.LinearSegmentedColormap.from_list('my_colormap'，['黑色'，'绿色'，'白色']，256)界限= [0,0,10,10]范数= mpl.colors.BoundaryNorm(bounds，cmap.N)im = plt.imshow(arr，插值='最近'，cmap = cmap，vmin = 0，vmax = 255，origin ='lower'，animation = True)#此处有一些小改动x = int(np.random.random_sample()*长度)y = int(np.random.random_sample()*长度)def walk():全局x，yrand = np.random.random_sample()如果rand<0.25:如果x ==长度-1:x = 0否则:x = x + 1埃利夫·兰德<0.5:如果x == 0:x =长度-1否则:x = x-1埃利夫·兰德<0.75:如果y ==长度-1:y = 0否则:y = y + 1别的:如果y == 0:y =长度-1否则:y = y-1返回def stand(arr):全局x，yarr [x] [y] = arr [x] [y] + 1000返回arrdef animate(i):全局x，yarr = im.get_array()走()#print(a)arr =站位(arr)im.set_array(arr)返回[im]anim = anim.FuncAnimation(无花果，动画，帧数= 200，间隔= 20，蓝调=真)plt.show() 然后我用 length = 50 来运行它，然后得到一个动画.在此处中查看.因此，您可能需要稍微尝试一下颜色选择.
Let me first clarify that I'm not trying to generate random walk lines like in this and many other questions. I'm trying to make a random walk heat map that changes color as points are revisted, like this.
I've been able to create still-lifes like this: but I want to see the process.
I can get the figure to show up, and if I print the array at each step I can see that the walk is working. But the figure itself doesn't animate. My code:
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()
Running Python 3.6, as you can see by the print.
There are so many videos with these animated grids and I can't find any answers! Somebody must know how to do it. Thanks!
I added animated=True and vmin=0, vmax=255, in the imshow() function below. I also changed the stand() line to 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()
And I ran it with length = 50 and I get an animation. See it here. So you may have to play around with your color choices a bit.
这篇关于动画Matplotlib IMShow的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
