In [16]:

    

import PIL
from PIL import Image
import random
import os
import sys
import pandas as pd
import numpy as np
import scipy
import matplotlib.pyplot as plt
from __future__ import print_function
%matplotlib inline


    

In [8]:

    

#set scale to scale the resulting images in save_image(i) function
scale = 1

#set the length and width of the square image canvas
width = int(200)
length = int(200)

#number of steps that the ant will take on each walk
iterations = 100000

#for naming the image file below
number = str(iterations)

#Ininitialize a blank square image
im1 = Image.new('RGBA', (width,length),'red')

#color selection
white = (255,255,255,255)
red = (255,0,0,255)

color_choices = [white, red]


    

In [10]:

    

#captures series of pixels used for generating images
def get_pix_series():
    global pix_series
    pix_series = []
    for x in range(len(pix_list)):
        for y in range(len(pixel_colors)):
            if pix_list[x][2] == y:
                pixel = pixel_colors[y]
                pix_series.append(pixel)


    

In [11]:

    

def save_image(i):
    #give access to the image instantiated at the beginning of the script
    global im1
    #fill blank image canvas with pix_series pixel data
    im1.putdata(pix_series)
    #to rescale the image, set the scale variable in settings and call resize on im1
    im1.resize((scale*im1.size[0],scale*im1.size[1])).save('%s.png' % (moves))


    

In [18]:

    

np.random()


    

    
Out[18]:





<module 'numpy.random' from '/Users/andrewcaffey/anaconda/envs/bokeh-gol/lib/python2.7/site-packages/numpy/random/__init__.pyc'>

In [12]:

    

im1.show()