D06 使用 NumPy 存取各種檔案內容 作業題目.ipynb

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   "source": [
    "作業目標<br>\n",
    "讀取存取陣列資料<br>\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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  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "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": 5,
   "metadata": {
    "id": "1mZQSUx_fry7"
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   "source": [
    "#. 將下兩列array存成npz檔\n",
    "import numpy as np\n",
    "\n",
    "array1 = np.array(range(30))\n",
    "array2 = np.array([2,3,5])\n",
    "\n",
    "with open('D06test.npz','wb') as f:\n",
    "    np.savez(f, array1, array2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "Ie1TGcssiIDN"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.lib.npyio.NpzFile"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#2. 讀取剛剛的npz檔，加入下列array一起存成新的npz檔\n",
    "npzfile = np.load('D06test.npz')\n",
    "type(npzfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['arr_0', 'arr_1']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "npzfile.files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "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": [
    "print(npzfile['arr_0'])\n",
    "print(npzfile['arr_1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "array3 = np.array([1,10,4])\n",
    "\n",
    "with open('D06test.npz','wb') as f:\n",
    "    np.savez(f, array1, array2, array3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.lib.npyio.NpzFile"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "npzfile = np.load('D06test.npz')\n",
    "type(npzfile)\n",
    "\n",
    "# 要先讀取，不然新的跑不出來"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['arr_0', 'arr_1', 'arr_2']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "npzfile.files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "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",
      "[ 1 10  4]\n"
     ]
    }
   ],
   "source": [
    "print(npzfile['arr_0'])\n",
    "print(npzfile['arr_1'])\n",
    "print(npzfile['arr_2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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