Tgub: Utworzono nową stronę " # -- coding: utf-8 -- """ Created on Mon Apr 20 15:14:18 2020 @author: Tomek """ import numpy as np import matplotlib.pyplot as plt import matp..."

2020-04-23T23:22:12Z

Utworzono nową stronę "<source lang="python"> # -*- coding: utf-8 -*- """ Created on Mon Apr 20 15:14:18 2020 @author: Tomek """ import numpy as np import matplotlib.pyplot as plt import matp..."

Nowa strona

<source lang="python">
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 20 15:14:18 2020

@author: Tomek
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

R = np.zeros((11,18))
R[4:7,5:13]=1
R[5,6]=0
R[5,11]=0

def step_a(a):
result = np.zeros(a.shape)
for x in range(a.shape[0]):
for y in range(a.shape[1]):
#liczenie sasiadow
nei = np.sum(a[max(x-1,0):x+2,max(y-1,0):y+2])-a[x,y]
if nei==3: result[x,y] = 1
if nei==2: result[x,y] = a[x,y]
return result

def animuj(i):
global R
R = step_a(R)
im.set_array(R)
return [im] #magia tutaj!!!!

fig = plt.figure( figsize=(8,8) )
im = plt.imshow(R, cmap="Greys")
ani = animation.FuncAnimation(fig, animuj, frames = 20, interval = 1000)

plt.show()

</source>

TI/Skrypty z zajęć/8 - Historia wersji

Tgub: Utworzono nową stronę " # -*- coding: utf-8 -*- """ Created on Mon Apr 20 15:14:18 2020 @author: Tomek """ import numpy as np import matplotlib.pyplot as plt import matp..."

Tgub: Utworzono nową stronę " # -- coding: utf-8 -- """ Created on Mon Apr 20 15:14:18 2020 @author: Tomek """ import numpy as np import matplotlib.pyplot as plt import matp..."