numpy_array.ipynb

  
{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# podemos converter lista para numpy arrays\n",
    "lista = [1, 2, 3, 4, 5]\n",
    "lista_array = np.array(lista, dtype=np.int64)\n",
    "lista_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4],\n",
       "       [5, 6, 7, 8]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# podemos converter matrizes para numpy arrays\n",
    "matriz = [[1,2,3,4], [5,6,7,8]]\n",
    "matriz_array = np.array(matriz, dtype=np.int64)\n",
    "matriz_array"
   ]
  }
 ],
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