D08 NumPy 結構化陣列 (Structured Arrays) 作業題目.ipynb

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   "cell_type": "markdown",
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   "source": [
    "作業目標<br>\n",
    "在一個陣列中放入多屬性陣列，進一步對陣列做運算<br>\n",
    "作業重點<br>\n",
    "在建立結構化陣列前需要先設定屬性，在做運算時須注意資料屬性"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "48DhzHvBUB2c"
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   "source": [
    "題目:<br>\n",
    "name_list = ['小明','小華','小菁','小美','小張','John','Mark','Tom']<br>\n",
    "sex_list = ['boy','boy','girl','girl','boy','boy','boy','boy']<br>\n",
    "weight_list = [67.5,75.3,50.1,45.5,80.8,90.4,78.4,70.7]<br>\n",
    "rank_list = [8,1,5,4,7,6,2,3]<br>\n",
    "myopia_list = [True,True,False,False,True,True,False,False]<br>\n",
    "1. 將上列list依照['name', 'sex', 'weight', 'rank', 'myopia']順序擺入array，並且資料型態順序擺入[Unicode,Unicode,float,int,boolean]<br>\n",
    "2. 呈上題，將array中體重(weight)數據集取出算出全部平均體重\n",
    "3. 呈上題，進一步算出男生(sex欄位是boy)平均體重、女生(sex欄位是girl)平均體重\n"
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "5n4rAx-9VgVr"
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "Vl-wSYQdUBcw"
   },
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   "source": [
    "name_list = ['小明','小華','小菁','小美','小張','John','Mark','Tom']\n",
    "sex_list = ['boy','boy','girl','girl','boy','boy','boy','boy']\n",
    "weight_list = [67.5,75.3,50.1,45.5,80.8,90.4,78.4,70.7]\n",
    "rank_list = [8,1,5,4,7,6,2,3]\n",
    "myopia_list = [True,True,False,False,True,True,False,False]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "ElavkYgwVftG"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([('', '', 0., 0, False), ('', '', 0., 0, False),\n",
       "       ('', '', 0., 0, False), ('', '', 0., 0, False),\n",
       "       ('', '', 0., 0, False), ('', '', 0., 0, False),\n",
       "       ('', '', 0., 0, False), ('', '', 0., 0, False)],\n",
       "      dtype=[('f0', '<U5'), ('f1', '<U5'), ('f2', '<f2'), ('f3', 'i1'), ('f4', '?')])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
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    }
   ],
   "source": [
    "#1. 將上列list依照['name', 'sex', 'weight', 'rank', 'myopia']順序擺入array，\n",
    "# 並且資料型態順序擺入[Unicode,Unicode,float,int,boolean]\n",
    "dt = np.dtype('U5, U5, f2, i1, ?')\n",
    "a = np.zeros(8, dtype=dt)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([('小明', 'boy', 67.5, 8,  True), ('小華', 'boy', 75.3, 1,  True),\n",
       "       ('小菁', 'girl', 50.1, 5, False), ('小美', 'girl', 45.5, 4, False),\n",
       "       ('小張', 'boy', 80.8, 7,  True), ('John', 'boy', 90.4, 6,  True),\n",
       "       ('Mark', 'boy', 78.4, 2, False), ('Tom', 'boy', 70.7, 3, False)],\n",
       "      dtype=[('f0', '<U5'), ('f1', '<U5'), ('f2', '<f2'), ('f3', 'i1'), ('f4', '?')])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a['f0'] = name_list\n",
    "a['f1'] = sex_list\n",
    "a['f2'] = weight_list\n",
    "a['f3'] = rank_list\n",
    "a['f4'] = myopia_list\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "N-xffNSVWbP1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([67.5, 75.3, 50.1, 45.5, 80.8, 90.4, 78.4, 70.7], dtype=float16)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#2. 呈上題，將array中體重(weight)數據集取出算出全部平均體重\n",
    "b = a['f2']\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69.83203125"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b_avg = sum(b)/len(b)\n",
    "b_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "_LhLg8RiWwEm"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([67.5, 75.3, 80.8, 90.4, 78.4, 70.7], dtype=float16)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#3. 呈上題，進一步算出男生(sex欄位是boy)平均體重\n",
    "boy_W = a[a['f1'] == 'boy']['f2']\n",
    "boy_W\n",
    "# sex_list = ['boy','boy','girl','girl','boy','boy','boy','boy']\n",
    "# weight_list = [67.5,75.3,50.1,45.5,80.8,90.4,78.4,70.7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77.17708333333333"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "boy_W_avg = sum(boy_W)/len(boy_W)\n",
    "boy_W_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "f_J05IPxX6fg"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([50.1, 45.5], dtype=float16)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#3. 呈上題，進一步算出女生(sex欄位是girl)平均體重\n",
    "girl_W = a[a['f1'] == 'girl']['f2']\n",
    "girl_W"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "eX63rZnX3d5O"
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    {
     "data": {
      "text/plain": [
       "47.796875"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "girl_W_avg = sum(girl_W)/len(girl_W)\n",
    "girl_W_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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