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@ingk_124

N進法を可視化する

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動機

N進法をグレースケールの画像にしたら楽しいのでは???

実装

import numpy as np
import math
from tqdm import tqdm
from PIL import Image

xをk桁のN進数に変換してnumpy.arrayで出力
(ex. x=10,n=2,k=8 → 00001010)

def int__n(x,n,k):
    if x>(n**k-1):
#       print("x over maximum\n","x=",x," n**k-1=",n**k-1)
#       print("n=",n," k=",k)
        return np.full(k,n-1)
    else:
        a = x%(n**(k-1))
        b = x//(n**(k-1))
        if k==1:
            return np.array([b])
        else:
            v = int__n(a,n,k-1)
            return np.insert(v,0,b,axis=0)

k以下の自然数をint__nに代入して結合

def mk_matrix(k,base):  # k:サイズ base:基数
    c = int(math.log(k,base)+2)
    m = np.full((0,c),0)
    for i in range(k):
        v = int__n(i+1,base,c)
        m = np.insert(m,i,v,axis=0)
    return m

numpy.arrayからPIL.Imageに変換(画像化)

def mk_img(x,base):
    M = np.uint8((255/(base-1)*((base-1)-mk_matrix(x,base))))
#   Image.fromarray(M).convert("L").resize((x,x)).show()
    img = Image.fromarray(M).convert("L").resize((x,x))
    img.save("base{base}_for_{x}.png".format(base=base,x=x))
    img.resize((500,500)).save("base{base}_for_{x}_resized_500x500.png".format(base=base,x=x))

2~20進法で画像作成

for n in tqdm(range(2,21)):
    mk_img(2000,n)

結果

2進法
base2_for_2000.png
5進法
base5_for_2000.png
13進法
base13_for_2000.png
20進法
base20_for_2000.png

感想

まあ、特に楽しいことはないですね、わかってはいましたが。
PILとnumpyの練習にはなったかな…

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