Original problem: https://gist.github.com/nlothian/0c985ff4beaf0a3fbb0507a24805eb83 and on stackoverflow https://stackoverflow.com/questions/63256952/pil-image-from-numpy-array-indexing

pixels-in-pillow-and-numpy-array.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from PIL import Image\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGQAAABkAQAAAABYmaj5AAAAH0lEQVR4nGNgQAH1/xHgAROK1ChvlDe4eKNgFAxVAAD2uwy11U7oWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=1 size=100x100 at 0x7F5574744490>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = Image.new('1', (100, 100))\n",
    "img_pixels = img.load()\n",
    "\n",
    "for x in range(1, 99):\n",
    "    for y in range(1, 50):\n",
    "        img_pixels[x,y] = True\n",
    "        \n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGQAAABkAQAAAABYmaj5AAAAJUlEQVR4nGNgQAH1////////AITDhCI1yhvljfJGeaM88nioAAC2Vgb9hDlwcAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=1 size=100x100 at 0x7F55746C2D30>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ary = np.zeros((100,100), dtype=np.bool)\n",
    "\n",
    "for x in range(1, 99):\n",
    "    for y in range(1, 50):\n",
    "        ary[x,y] = True\n",
    "      \n",
    "Image.fromarray(ary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGQAAABkAQAAAABYmaj5AAAAH0lEQVR4nGNgQAH1/xHgAROK1ChvlDe4eKNgFAxVAAD2uwy11U7oWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=1 size=100x100 at 0x7F557464D070>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ary = np.zeros((100,100), dtype=np.bool)\n",
    "\n",
    "for x in range(1, 99):\n",
    "    for y in range(1, 50):\n",
    "        ary[y,x] = True # note that rows and columns are reversed\n",
    "      \n",
    "Image.fromarray(ary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

x-info.py

import sys
import PIL
import numpy
import notebook

print('Platform:', sys.platform)                   # linux
print('Python  :', sys.version.replace('\n', ''))  # 3.7.8 (default, Jun 29 2020, 05:44:46) [GCC 7.5.0] 
print('PIL     :', PIL.__version__)                # 7.0.0
print('numpy   :', numpy.__version__)              # 1.18.4
print('notebook:', notebook.__version__)           # 6.0.3

import platform
print('System  :', platform.system(), platform.version())  # Linux #46~18.04.1-Ubuntu SMP Fri Jul 10 07:21:24 UTC 2020