Homework/Day_06_HW.ipynb

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    "作業目標<br>\n",
    "讀取存取陣列資料<br>\n",
    "\n",
    "作業重點<br>\n",
    "多陣列存一起需要存成npz，讀取須注意npz中有多個陣列"
   ]
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    "題目:<br>\n",
    "1. 將下兩列array存成npz檔<br>\n",
    "array1 = np.array(range(30))<br>\n",
    "array2 = np.array([2,3,5])<br>\n",
    "2. 讀取剛剛的npz檔，加入下列array一起存成新的npz檔\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NumPy 版本:  1.18.5\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "print( 'NumPy 版本: ', np.__version__ )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "1mZQSUx_fry7"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29]\n",
      "[2 3 5]\n"
     ]
    }
   ],
   "source": [
    "#. 將下兩列array存成npz檔\n",
    "array1 = np.array(range(30))\n",
    "array2 = np.array([2,3,5])\n",
    "\n",
    "print( array1 )\n",
    "print( array2 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez( 'Array12.npz', element1=array1, element2=array2 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "Ie1TGcssiIDN"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['element1', 'element2']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#2. 讀取剛剛的npz檔，加入新的array一起存成新的npz檔\n",
    "\n",
    "load_array = np.load( 'Array12.npz' )\n",
    "load_array.files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1, 1],\n",
       "       [1, 1, 1, 1],\n",
       "       [1, 1, 1, 1]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 新的array\n",
    "array3 = np.ones( (3,4), dtype=int )\n",
    "array3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 儲存新的 npz 檔\n",
    "np.savez( 'Array123.npz', element1=load_array['element1'], element2=load_array['element2'], element3=array3 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "新的 npz 檔內容:  ['element1', 'element2', 'element3'] \n",
      "\n",
      "新的 npz 檔中第一個元素內容: \n",
      " [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29] \n",
      "\n",
      "新的 npz 檔中第二個元素內容: \n",
      " [2 3 5] \n",
      "\n",
      "新的 npz 檔中第三個元素內容: \n",
      " [[1 1 1 1]\n",
      " [1 1 1 1]\n",
      " [1 1 1 1]]\n"
     ]
    }
   ],
   "source": [
    "# 讀取新的 npz 檔\n",
    "load_array_2 = np.load( 'Array123.npz' )\n",
    "\n",
    "print( '新的 npz 檔內容: ', load_array_2.files, '\\n' ) \n",
    "print( '新的 npz 檔中第一個元素內容: \\n', load_array_2['element1'], '\\n' )\n",
    "print( '新的 npz 檔中第二個元素內容: \\n', load_array_2['element2'], '\\n' )\n",
    "print( '新的 npz 檔中第三個元素內容: \\n', load_array_2['element3'] )"
   ]
  }
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