D06_使用Numpy存取各種檔案內容.ipynb

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    "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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    "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": [],
   "source": [
    "import numpy as np"
   ]
  },
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   "source": [
    "#. 將下兩列array存成npz檔\n",
    "array1 = np.array(range(30))\n",
    "array2 = np.array([2,3,5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('multi_array.npz', 'wb') as f:\n",
    "    np.savez(f, array1=array1, array2=array2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "id": "Ie1TGcssiIDN"
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   "outputs": [],
   "source": [
    "#2. 讀取剛剛的npz檔，加入下列array一起存成新的npz檔"
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "z = np.load('one_array.npy')"
   ]
  },
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   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('ans.npz', 'wb') as f:\n",
    "    np.savez(f, array1=array1, array2=array2, array3=z)"
   ]
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   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
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   "source": [
    "ans = np.load('ans.npz')"
   ]
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   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['array1', 'array2', 'array3']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ans.files"
   ]
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   "execution_count": 11,
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     "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 2]\n"
     ]
    }
   ],
   "source": [
    "print(ans['array1'])\n",
    "print(ans['array2'])\n",
    "print(ans['array3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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