cube3d - cloud.ipynb

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   "cell_type": "code",
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   "source": [
    "import numpy as np\n",
    "import pptk\n",
    "def cloud(maxvalue,size):\n",
    "    '''\n",
    "    Entrada:\n",
    "    maxvalue = valor máximo dos elementos\n",
    "    size = tamanho da matriz [m,n]\n",
    "    Saída:\n",
    "    s = posicao x,y,z e valor [i,j]\n",
    "    '''\n",
    "    data = np.random.randint(maxvalue, size=(size[0],size[1])) #cria matriz aleatoria\n",
    "    s = np.zeros((size[0]*size[1],3))\n",
    "    line = 0\n",
    "    for i in range(0,size[0]):\n",
    "        for j in range(0,size[1]):\n",
    "            s[line,0], s[line,1], s[line,2] = i, j, data[i,j]\n",
    "            line+=1\n",
    "    return s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cria nuvem de pontos\n",
    "maxvalue, size = 100, [100,100]\n",
    "s = cloud(maxvalue, size)\n",
    "#plot 3d\n",
    "v = pptk.viewer(s)\n",
    "v.set(point_size=0.1,bg_color=[0,0,0,1],r=200)\n",
    "v.attributes(s[:,2])\n",
    "v.get('selected')\n",
    "v.capture('demo images/['+str(size[0])+','+str(size[1])+','+str(maxvalue)+'] - cloud.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pptk\n",
    "import numpy as np\n",
    "\n",
    "xyz = pptk.rand(10, 3)\n",
    "\n",
    "v = pptk.viewer(xyz)\n",
    "v.attributes(xyz)\n",
    "v.set(point_size=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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