Description At The Top of Code.

1.py

# This file will create a image of the integer, "1".
# The image is created with a NumPy array and then converted to a Pillow Image.
# The image is contains only one channel, "L", with a dtype of "np.uint8".
# I made this file to have fun and also understand how images on a computer
# work.
# I know most of my code could go into a function or many functions but because
# I am doing this for fun, I was too lazy.
# I was also trying to follow the PEP 8 Python Style, if I failed somewhere to 
# follow PEP 8, please do not hesitate to email me at, "lukascao06@gmail.com".
# You may take this code to use or play around with. Enjoy and Have Fun!!!!

# imports
import numpy as np
from PIL import Image

# setting up image
img_w, img_h = 200, 200
data = np.zeros((img_h, img_w), dtype=np.uint8)
data[40:160, 90:110] = 255
data[160:180, 60:140] = 255

# my magic global variables that will be modified
start_y = 40
stop_y = 50
start_x = 90
stop_x = 110
index = 0

# logic for image of integer "1"
for size in range(10):
    data[start_y:stop_y, start_x:stop_x] = 255
    if size == 9:
        data[int((start_y + stop_y) / 2):stop_y, start_x:stop_x] = 0
    else:
        start_y += 5
        stop_y += 5
        start_x -= 4
        stop_x -= 4
for test in range(4):
    data[start_y:int((start_y + stop_y) / 2), start_x + test] = 0
start_x += 4
for portion in range(20):
    data[(start_y + index):int((start_y + stop_y) / 2), start_x] = 0
    if (portion + 1) % 4 == 0:
        index += 1
    start_x += 1

# image saving
img = Image.fromarray(data, 'L')
img.save('1.png')
img.show()