LBPM/example/DiscPack/DiscPack.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "import pandas as pd\n",
    "\n",
    "Nx=3\n",
    "Ny=128\n",
    "Nz=128\n",
    "dx = 1.0/(Nz-1)\n",
    "ID = np.ones(Nx*Ny*Nz,dtype='uint8')\n",
    "ID.shape = (Nz,Ny,Nx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "for idx in range(len(D)):\n",
    "        #print(idx)\n",
    "        cx=D['cx'][idx] / dx\n",
    "        cy=D['cy'][idx] /dx\n",
    "        r=D['r'][idx] /dx\n",
    "        for i in range(0,Nz):\n",
    "            for j in range(0,Ny):\n",
    "                if ( (cx-i)*(cx-i) + (cy-j)*(cy-j) < r*r ):\n",
    "                    ID[i,j,0] = 0\n",
    "                    ID[i,j,1] = 0\n",
    "                    ID[i,j,2] = 0\n",
    "\n",
    "                    \n",
    "ID.tofile(\"discs_3x128x128.raw\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1)\n",
    "plt.title('segmented image')\n",
    "plt.pcolormesh(ID[:,:,1],cmap='hot')\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}