【发布时间】:2017-01-22 15:01:03
【问题描述】:
我刚开始学习 Python 有一段时间了,所以我们必须做这个作业,它使用 matplotlib 编写一个程序来运行康威的生命游戏。我的教授已经做了部分代码,我们必须在TODO cmets下填写代码。所以我就写了,不知道为什么不运行动画。我做错了什么?非常感谢你们!!!程序中的 cmets 很长,因为它们是一种指令。
# life.py - Once complete, this program will play the game of
# life.
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# The update function is needed for the animation
# to work properly. It has four parameters:
# frameNum - this is handled by the animation, don't change this.
# img - the plot that is passed and changed, don't change this.
# world - the two-D array that represents the world for the
# game of life. This will be updated to the next gen.
# N - the size of the world (which is square).
def update( frameNum, img, world, N ) :
newWorld = world.copy( )
## TODO - Write code here to update the cells in newWorld
## for the next generation of life. Remember to
## use the toroidal model. Rather than making
## special cases for row/column 0 and N-1, just
## use the % operator.
for i in range (N):
for j in range (N):
total= (world[(i-1)%N][(j-1)%N]+world[(i-1)%N][j]+world[(i-1)%N][(j+1)%N]+
world[i][(j-1)%N]+world[i][(j+1)%N]+ world[(i+1)%N][(j-1)%N]+
world[(i+1)%N][j]+ world[(i+1)%N][(j+1)%N])/255
if world[i][j]== 255:
if total>3 or total<2:
newWorld[i][j]== 0
elif total==3:
newWorld[i][j]== 255
img.set_data( newWorld )
world[:] = newWorld[:]
return img
N = 50
SPEED = 100
PROB_LIFE = 40
## TODO - Write code here to create the initial population
## of the world. I recommend creating an N x N array that
## is initially filled with random numbers from 0 to 99.
## Then use the PROB_LIFE to change the entries to be
## either alive (255) or dead (0).
world= np.random.choice([0,255], N*N, p=[1-((PROB_LIFE)/100),(PROB_LIFE)/100]).reshape(N,N)
fig, ax = plt.subplots( )
img = ax.imshow( world, interpolation='nearest' )
ani = animation.FuncAnimation( fig, update, fargs = ( img, world, N ),
frames = 10, interval = SPEED,
save_count = 50 )
plt.show( )
# This is the end of the program. You should not need
# anything after this point.
【问题讨论】:
标签: python numpy animation matplotlib