D09 使用 Pandas 讀寫各種常用的檔案格式 - pandas_io_homework 題目.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C2qkILqtM8Wg"
   },
   "source": [
    "作業目標:<br>\n",
    "1.讀取各種檔案格式<br>\n",
    "2.輸出各種檔案格式<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t47Sf6ejNLn7"
   },
   "source": [
    "作業重點:<br>\n",
    "1.不同檔案讀取方式皆不同，須了解檔案格式中的邏輯，例如:csv是以逗號分隔<br>\n",
    "2.讀取、輸出檔案的程式碼不同，須注意使用方式"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IabouywFNmI7"
   },
   "source": [
    "題目: <br>\n",
    "讀取資料夾中boston.csv讀取其欄位CHAS、NOX、RM，輸出成.xlsx檔案"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "Rid6t1NoNrlB"
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "YGXm3I0VMvSG"
   },
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       "     Unnamed: 0     CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  \\\n",
       "0             0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0   \n",
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       "\n",
       "       TAX  PTRATIO       B  LSTAT  \n",
       "0    296.0     15.3  396.90   4.98  \n",
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#讀取資料夾中boston.csv讀取其欄位CHAS、NOX、RM，輸出成.xlsx檔案\n",
    "pd.read_csv('boston.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "RkTGpcqfMvSH"
   },
   "outputs": [
    {
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      "text/plain": [
       "     CHAS    NOX     RM\n",
       "0     0.0  0.538  6.575\n",
       "1     0.0  0.469  6.421\n",
       "2     0.0  0.469  7.185\n",
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       "4     0.0  0.458  7.147\n",
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       "504   0.0  0.573  6.794\n",
       "505   0.0  0.573  6.030\n",
       "\n",
       "[506 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = pd.read_csv('boston.csv', usecols=[\"CHAS\", \"NOX\", \"RM\"])\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.to_excel(\"D09_HW.xlsx\", sheet_name=\"D09\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "     CHAS    NOX     RM\n",
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       "503   0.0  0.573  6.976\n",
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       "505   0.0  0.573  6.030\n",
       "\n",
       "[506 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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