dummy_mandelbrot.ipynb

dummy_mandelbrot.ipynb

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      "authorship_tag": "ABX9TyNcL0b8XbRWkDmGvt9PSAQo",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/tempdeltavalue/4f40fe5f61677b049019beb4c0e32302/dummy_mandelbrot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ddl_t8Ic_o6g"
      },
      "outputs": [],
      "source": [
        "import numpy as np \n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "side = 1024\n",
        "rand_matrix =  np.zeros((side, side, 3)) #np.random.rand((side, side, 3) #\n",
        "\n",
        "\n",
        "max_iters = 100\n",
        "\n",
        "for x in range(side):\n",
        "  for y in range(side):\n",
        "    n_x = x / side\n",
        "    n_y = y / side\n",
        "\n",
        "    iter = 0 \n",
        "    zx = 0\n",
        "    zy = 0\n",
        "\n",
        "    while (iter < max_iters):\n",
        "      nzx = zx**2 - zy**2 + n_x\n",
        "      nzy = 2 * zx * zy + n_y;\n",
        "      zx = nzx;\n",
        "      zy = nzy;\n",
        "\n",
        "      if (zx**2 + zy**2 > 4.0):\n",
        "          break;\n",
        "          \n",
        "      iter += 1\n",
        "\n",
        "    if iter == max_iters:\n",
        "        rand_matrix[x, y] = [0,0,0];\n",
        "    else:\n",
        "        rand_matrix[x, y] = [iter, zx, zy]    \n",
        "    # print(rand_matrix[x, y])\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (48,48))\n",
        "\n",
        "plt.imshow(rand_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RjmS3V9q_-5D",
        "outputId": "784b8233-39b6-4a05-bfa1-88cf4422a093"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f032bf31790>"
            ]
          },
          "metadata": {},
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3456x3456 with 1 Axes>"
            ],