摘要

This file was copied from en.wikipedia by Toobaz, what follows is its original description:

描述Random Walk example.svg	Eight different random walks.
日期	2008年十月14日
來源	I created this work entirely by myself.   本向量圖形使用Matplotlib創作。
作者	Morn (talk)
其他版本	File:Random_Walk_example.png

Code

Made with the following Python script (needs Matplotlib):

from pylab import *
from random import choice
numwalk = 8
length = 100
data = zeros((numwalk, length), int)
for n in range(numwalk):
	for x in range(1, length):
		step = choice([-1, 1])
		data[n,x] = data[n,x-1] + step
	plot(range(length), data[n,:])
xlabel('t')
axis ((0,100, -20, 20))
savefig('Random_Walk_example.svg')
show()

​wikipedia 使用者 Morn，此作品的版權所有人，決定用以下授權條款發佈本作品：

已授權您依據自由軟體基金會發行的無固定段落、封面文字和封底文字GNU自由文件授權條款1.2版或任意後續版本，對本檔進行複製、傳播和／或修改。該協議的副本列在GNU自由文件授權條款中。http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue

原始上傳日誌

• 2008-10-14 18:20 Morn 720×540× (30897 bytes) {{Information |Description= |Source=I created this work entirely by myself. |Date=2008-10-14 |Author=~~~ |other_versions= }} Made with the following Python script: <code> from pylab import * from random import choice numwalk = 8 length = 100 data = z

The following is the similar code in MATLAB and Octave

function RandomWalk () hold off; x = 1:100; color = ['y' 'g' 'b' 'k' 'r', 'm' 'c']; y(1)= 0; for m = 1:7 for n = 2:100 y(n) = y(n-1) + 2*floor(rand()*2)-1; end plot(x, y, color(m), 'LineWidth',2); hold on axis([0 100, -20 20]) end end