mixcolors.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3cbf5204b51f4c918acb2b93c1e5c5fb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.7, description='R1', max=1.0, step=0.01), FloatSlider(value=0.5, des…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import colorsys\n",
    "from ipywidgets import interact, FloatSlider\n",
    "\n",
    "def rgb_to_gray(rgb):\n",
    "    return 0.2989 * rgb[0] + 0.5870 * rgb[1] + 0.1140 * rgb[2]\n",
    "\n",
    "def mix_colors(color1, color2):\n",
    "    mixed = [color1[0] + color2[0], color1[1] + color2[1], color1[2] + color2[2]]\n",
    "    return mixed\n",
    "\n",
    "def plot_colors(color1, color2, mixed):\n",
    "    fig, ax = plt.subplots(1, 1, figsize=(10, 5))\n",
    "    m = np.zeros((256, 256, 3))\n",
    "\n",
    "    for x, a in enumerate(m):\n",
    "        for y, b in enumerate(a):\n",
    "            if (x < 50) and (x >= 0):\n",
    "                m[x][y] = color1\n",
    "            if (x >= 200):\n",
    "                m[x][y] = color2\n",
    "            if (x >= 50) and (x < 75):\n",
    "                m[x][y] = [color1[0] * y/255, color1[1] * y/255, color1[2] * y/255]\n",
    "            if (x >= 175) and (x < 200):\n",
    "                m[x][y] = [color2[0] * y/255, color2[1] * y/255, color2[2] * y/255]\n",
    "            if (x >= 75) and (x < 175):\n",
    "                c1 = (x - 75)/100\n",
    "                c2 = y/255\n",
    "                m[x][y] = [\n",
    "                    color1[0] * c1 + color2[0] * c2,\n",
    "                    color1[1] * c1 + color2[1] * c2,\n",
    "                    color1[2] * c1 + color2[2] * c2]\n",
    "    m = np.rot90(m)\n",
    "    ax.imshow(m)\n",
    "    ax.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "def rgb2hex(color):\n",
    "    return \"#{:02x}{:02x}{:02x}\".format(int(color[0] * 255), int(color[1] * 255), int(color[2] * 255))\n",
    "\n",
    "def color_experiment(r1, g1, b1, r2, g2, b2):\n",
    "    color1 = [r1, g1, b1]\n",
    "    color2 = [r2, g2, b2]\n",
    "    mixed = mix_colors(color1, color2)\n",
    "    plot_colors(color1, color2, mixed)\n",
    "    print(f\"Luminance of Color 1: {rgb_to_gray(color1)}\")\n",
    "    print(f\"Luminance of Color 2: {rgb_to_gray(color2)}\")\n",
    "    print(f\"Luminance of Mixed Color: {rgb_to_gray(mixed)}\")\n",
    "    print(colorsys.rgb_to_hls(color1[0], color1[1], color1[2]))\n",
    "    print(rgb2hex(color1))\n",
    "    print(colorsys.rgb_to_hls(color2[0], color2[1], color2[2]))\n",
    "    print(rgb2hex(color2))\n",
    "\n",
    "interact(color_experiment,\n",
    "         r1=FloatSlider(min=0.0, max=1.0, step=0.01, value=0.7, description='R1'),\n",
    "         g1=FloatSlider(min=0.0, max=1.0, step=0.01, value=0.5, description='G1'),\n",
    "         b1=FloatSlider(min=0.0, max=1.0, step=0.01, value=0.0, description='B1'),\n",
    "         r2=FloatSlider(min=0.0, max=1.0, step=0.01, value=0.3, description='R2'),\n",
    "         g2=FloatSlider(min=0.0, max=1.0, step=0.01, value=0.5, description='G2'),\n",
    "         b2=FloatSlider(min=0.0, max=1.0, step=0.01, value=1.0, description='B2'));\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

requirements.txt

numpy
matplotlib