Chapter_11_NumPy_pandas.ipynb

{
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     "id": "a00a5059-101b-4f62-bac3-0c6049620deb"
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   },
   "source": [
    "# 11장 데이터 분석을 위한 패키지"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 11.1 배열 데이터를 효과적으로 다루는 NumPy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "id": "18fa478a-80cb-47a5-ae5e-d861a083f7cd"
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   },
   "source": [
    "### 배열 생성하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "053a878b-45b6-4880-8c45-d95f0ab23dc3"
    }
   },
   "source": [
    "**[11장: 215페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "9e8ce122-b1df-430b-b94c-2511fe66389f"
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   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 시퀀스 데이터로부터 배열 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 215 ~ 216페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "5f71eb4e-f55e-4f00-96bc-722d7e241a66"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "data1 = [0, 1, 2, 3, 4, 5]\n",
    "a1 = np.array(data1)\n",
    "a1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6f7c6e9f-8a23-4093-8306-f1d086c93874"
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   },
   "source": [
    "**[11장: 216페이지]**"
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  },
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   "execution_count": null,
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    "nbpresent": {
     "id": "4f067f0f-f488-409b-bd2b-b56b87a767de"
    }
   },
   "outputs": [],
   "source": [
    "data2 = [0.1, 5, 4, 12, 0.5]\n",
    "a2 = np.array(data2)\n",
    "a2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ffb7631f-cc98-4285-9663-226c09fff590"
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   },
   "source": [
    "**[11장: 216페이지]**"
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   "execution_count": null,
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    "nbpresent": {
     "id": "8c96f42b-7142-4360-b36d-26baaec54605"
    }
   },
   "outputs": [],
   "source": [
    "a1.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "34879198-e061-4749-9bd7-8e0a7820dcd1"
    }
   },
   "outputs": [],
   "source": [
    "a2.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a214414a-e9a8-4cb1-ac91-5105ffee0cd3"
    }
   },
   "source": [
    "**[11장: 216페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c8f76150-5cb1-48ee-97dc-a21962811c13"
    }
   },
   "outputs": [],
   "source": [
    "np.array([0.5, 2, 0.01, 8])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "39cb565c-2e08-49e3-84b1-c4310ea74a88"
    }
   },
   "source": [
    "**[11장: 217페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "27fe706c-9327-4844-9521-3e436c33a60c"
    }
   },
   "outputs": [],
   "source": [
    "np.array([[1,2,3], [4,5,6], [7,8,9]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "992c8f6c-4041-4ef1-930b-5ad3f5b4b65d"
    }
   },
   "source": [
    "#### 범위를 지정해 배열 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 217페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c1f42511-fc6f-4e62-9cc5-1a72650b5845"
    }
   },
   "outputs": [],
   "source": [
    "np.arange(0, 10, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "5f2dd4a9-34e1-4b11-a609-5872b5388bae"
    }
   },
   "outputs": [],
   "source": [
    "np.arange(1, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "66eb7421-5131-4042-8663-19a471dc2060"
    }
   },
   "outputs": [],
   "source": [
    "np.arange(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "f51d54c3-3da0-463f-9207-c55646d93638"
    }
   },
   "source": [
    "**[11장: 218페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "nbpresent": {
     "id": "63b42c5c-ac60-4432-9197-ed176bf2d2e0"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "np.arange(12).reshape(4,3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3e6e8dfd-88cb-472d-8c78-5ec174ea5193"
    }
   },
   "source": [
    "**[11장: 218페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b1 = np.arange(12).reshape(4,3)\n",
    "b1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 219페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b2 = np.arange(5)\n",
    "b2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 219페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.linspace(1, 10, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 219페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.linspace(0, np.pi, 20 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 특별한 형태의 배열 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 220페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ec1bca5f-3476-4abb-928f-6c071fac203a"
    }
   },
   "outputs": [],
   "source": [
    "np.zeros(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 220페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "daee3ad5-0f22-44b2-b473-8980d1a58e53"
    }
   },
   "outputs": [],
   "source": [
    "np.zeros((3,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 220 ~ 221페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "e906fa8c-b178-45b9-9591-31f3af9ac3ae"
    }
   },
   "outputs": [],
   "source": [
    "np.ones(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "4ca86a90-74ed-42a2-a46d-a42d4a28ddb5"
    }
   },
   "outputs": [],
   "source": [
    "np.ones((3,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "cdda517f-7dda-4747-82fb-291fbdd34149"
    }
   },
   "source": [
    "**[11장: 221페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "963a3cc5-3883-435d-a090-afad780451ea"
    }
   },
   "outputs": [],
   "source": [
    "np.eye(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8439f472-17a2-4baa-86bc-ff64e9b3d704"
    }
   },
   "source": [
    "#### 배열의 데이터 타입 변환"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 221페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "645ae3c6-8414-435e-a321-26c0ecfe5485"
    }
   },
   "outputs": [],
   "source": [
    "np.array(['1.5', '0.62', '2', '3.14', '3.141592'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "df60ef51-c70f-4dac-b97d-17e4b6bcd2ea"
    }
   },
   "source": [
    "**[11장: 222페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "be3ce681-c2f1-4b77-938b-d731ff638994"
    }
   },
   "outputs": [],
   "source": [
    "str_a1 = np.array(['1.567', '0.123', '5.123', '9', '8'])\n",
    "num_a1 = str_a1.astype(float)\n",
    "num_a1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "**[11장: 223페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "str_a1.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "a62c4cd9-9b6c-4a93-ab3c-2433ceac4255"
    }
   },
   "outputs": [],
   "source": [
    "num_a1.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 223페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "7540392f-5b0c-4b3d-af05-d16b033e489f"
    }
   },
   "outputs": [],
   "source": [
    "str_a2 = np.array(['1', '3', '5', '7', '9'])\n",
    "num_a2 = str_a2.astype(int)\n",
    "num_a2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 223페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "str_a2.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_a2.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 223페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "e7b1eeb3-a8bd-4612-a8b9-41ee0d6b816f"
    }
   },
   "outputs": [],
   "source": [
    "num_f1 = np.array([10, 21, 0.549, 4.75, 5.98])\n",
    "num_i1 = num_f1.astype(int)\n",
    "num_i1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 224페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "num_f1.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_i1.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 난수 배열의 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 224 ~ 225페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.rand(2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.rand()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.rand(2,3,4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 225페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.randint(10, size=(3, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.randint(1, 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ee59bc8f-cf0f-4aaf-a8ae-b5c2763cc79b"
    }
   },
   "source": [
    "### 배열의 연산"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 기본 연산"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 225페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "31a5e2f1-017c-4d6d-aae3-1fb54ac75e9c"
    }
   },
   "outputs": [],
   "source": [
    "arr1 = np.array([10, 20, 30, 40])\n",
    "arr2 = np.array([1, 2, 3, 4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c8775c40-9bd4-4f67-95dc-5bd8649d797a"
    }
   },
   "source": [
    "**[11장: 226페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "4f32ef1d-bbac-41a0-928b-75941eb6508c"
    }
   },
   "outputs": [],
   "source": [
    "arr1 + arr2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6f741d1a-45ad-4a71-b0a7-f9a02979eec0"
    }
   },
   "source": [
    "**[11장: 226페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "a806af30-5593-4124-8bb7-d458c2853ad8"
    }
   },
   "outputs": [],
   "source": [
    "arr1 - arr2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "68c0bf09-6eb0-4498-bd08-0ca334bc6e5b"
    }
   },
   "source": [
    "**[11장: 226페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "bf735d32-362d-455e-b9df-4881cfaaa8ff"
    }
   },
   "outputs": [],
   "source": [
    "arr2 * 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ae5280f0-4e1d-4dd9-8d4e-1a410802d866"
    }
   },
   "source": [
    "**[11장: 226페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "248b2673-a05f-447b-85ea-d537b8880f80"
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   },
   "outputs": [],
   "source": [
    "arr2 ** 2"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8c0fbf70-0906-4f5f-990a-84abd7483130"
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   "source": [
    "**[11장: 226페이지]**"
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "90778e0d-2726-4c96-bae9-af808aa17696"
    }
   },
   "outputs": [],
   "source": [
    "arr1 * arr2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "612a4af9-ed41-494e-9891-95abc5499fd5"
    }
   },
   "source": [
    "**[11장: 227페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "497bfe6b-1180-43ad-8d15-911730388b95"
    }
   },
   "outputs": [],
   "source": [
    "arr1 / arr2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "f903d116-fd18-4cd9-b9bd-07ad6b3efbfe"
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   "source": [
    "**[11장: 227페이지]**"
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   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "a91ef282-77b8-44fa-8f41-61b2733727ba"
    }
   },
   "outputs": [],
   "source": [
    "arr1 / (arr2 ** 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e7025c1f-15be-41a8-b9fa-c08268a51664"
    }
   },
   "source": [
    "**[11장: 227페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b412697d-8109-4e03-8194-757e3f000fa1"
    }
   },
   "outputs": [],
   "source": [
    "arr1 > 20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ed5d25ea-f078-4238-9911-6f56810dc8b6"
    }
   },
   "source": [
    "#### 통계를 위한 연산"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 227페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "10bbf32c-3190-4853-b5b7-47d3048a2732"
    }
   },
   "outputs": [],
   "source": [
    "arr3 = np.arange(5)\n",
    "arr3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4530b23b-2318-4409-921f-8ee2dc665327"
    }
   },
   "source": [
    "**[11장: 227페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "e431758a-85a8-47d9-9bc0-e4d601d4db09"
    }
   },
   "outputs": [],
   "source": [
    "[arr3.sum(), arr3.mean()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c518a29e-e00d-40d7-bec5-07d421415653"
    }
   },
   "source": [
    "**[11장: 228페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "fb6fc3f3-1a8a-403c-84d5-1ea68bc354c1"
    }
   },
   "outputs": [],
   "source": [
    "[arr3.std(), arr3.var()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "89623b71-c0fe-41b4-8266-1fd88f4af845"
    }
   },
   "source": [
    "**[11장: 228페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f102e256-50cc-43d9-94fc-7cb973bbbf9e"
    }
   },
   "outputs": [],
   "source": [
    "[arr3.min(), arr3.max()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d871227b-d4dd-40c1-a5ad-9fa3f362b878"
    }
   },
   "source": [
    "**[11장: 228페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr4 = np.arange(1,5)\n",
    "arr4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 228페이지]** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "bafc5580-e051-4737-8631-2a8d3bf9c9cb"
    }
   },
   "outputs": [],
   "source": [
    "arr4.cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "a5b08f83-1ffd-4a88-941b-a8471101b857"
    }
   },
   "outputs": [],
   "source": [
    "arr4.cumprod()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "68113591-507a-4c02-9133-3cb8142de227"
    }
   },
   "source": [
    "#### 행렬 연산"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 229페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "A = np.array([0, 1, 2, 3]).reshape(2,2)\n",
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "B = np.array([3, 2, 0, 1]).reshape(2,2)\n",
    "B"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 229페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "A.dot(B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.dot(A,B)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 229 ~ 230페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.transpose(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "A.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 230페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.linalg.inv(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 230페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.linalg.det(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "0266279b-0a9a-4625-bf56-25dcdc3ed960"
    }
   },
   "source": [
    "### 배열의 인덱싱과 슬라이싱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c2015789-2fd8-46d5-9d58-5291f8e895df"
    }
   },
   "source": [
    "#### 배열의 인덱싱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 230페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "eeea493a-f604-4696-bc2f-6d3eccb0f586"
    }
   },
   "outputs": [],
   "source": [
    "a1 = np.array([0, 10, 20, 30, 40, 50])\n",
    "a1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 231페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "2fd50764-d3f4-4999-9efe-e7f75dde9fb8"
    }
   },
   "outputs": [],
   "source": [
    "a1[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a29dec58-b4fc-47a5-ab7b-67529d16f9a7"
    }
   },
   "source": [
    "**[11장: 231페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ec07b417-b92e-42a7-a1c8-fa4832d4c822"
    }
   },
   "outputs": [],
   "source": [
    "a1[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 231페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a1[5] = 70\n",
    "a1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "be5663ea-c3e0-493d-9d79-f62a519cec85"
    }
   },
   "source": [
    "**[11장: 231페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "002591c3-c483-4a64-b1a3-cbe5c82369fa"
    }
   },
   "outputs": [],
   "source": [
    "a1[[1,3,4]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 232페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2 = np.arange(10, 100, 10).reshape(3,3)\n",
    "a2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 232페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[0, 2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 232페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[2, 2] = 95\n",
    "a2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 232페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 232 ~ 233페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[1] = np.array([45, 55, 65])\n",
    "a2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[1] = [47, 57, 67]\n",
    "a2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 233페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a2[[0, 2], [0, 1]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 233페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = np.array([1, 2, 3, 4, 5, 6])\n",
    "a[a > 3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 234페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a[(a % 2) == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fbfdb73b-42aa-4d6c-8607-de4d7e930345"
    }
   },
   "source": [
    "#### 배열의 슬라이싱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 234페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "73248ff9-96ab-4911-a605-a2656df5439d"
    }
   },
   "outputs": [],
   "source": [
    "b1 = np.array([0, 10, 20, 30, 40, 50])\n",
    "b1[1:4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 234페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b1[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b1[2:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "7de123ee-afb9-43a6-a788-ba8259e43c10"
    }
   },
   "source": [
    "**[11장: 235페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b1[2:5] = np.array([25, 35, 45])\n",
    "b1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a27c357b-88af-4112-a754-e11efa79dff2"
    }
   },
   "source": [
    "**[11장: 235페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "6388bb1d-a6da-4b8d-9343-c9e36e961fcb"
    }
   },
   "outputs": [],
   "source": [
    "b1[3:6] = 60\n",
    "b1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 235페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b2 = np.arange(10, 100, 10).reshape(3,3)\n",
    "b2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 236페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "de8005c3-e4b5-4a92-a1ca-2b9871cd8177"
    }
   },
   "outputs": [],
   "source": [
    "b2[1:3, 1:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 236페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b2[:3, 1:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 236페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b2[1][0:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c4907ac4-1274-41b8-abd7-81c6de45235e"
    }
   },
   "source": [
    "**[11장: 236페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "daad9c34-20d7-4214-906a-b9853876a577"
    }
   },
   "outputs": [],
   "source": [
    "b2[0:2, 1:3] = np.array([[25, 35], [55, 65]])\n",
    "b2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3253a21a-7d3c-4ba9-8b4d-2c7b695abd09"
    }
   },
   "source": [
    "## 11.2 구조적 데이터 표시와 처리에 강한 pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3053de36-47f9-4381-8f4c-56a0dfeab6ba"
    }
   },
   "source": [
    "### 구조적 데이터 생성하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Series를 활용한 데이터 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 237페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "66bfcfea-981d-45e4-9746-66e647572cbe"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "7dd51bf0-751a-4a1f-8c11-8c92454ddfe8"
    }
   },
   "source": [
    "**[11장: 238페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "1ddc49b0-5c30-4bcd-9504-3b8c6b5dcb5e"
    }
   },
   "outputs": [],
   "source": [
    "s1 = pd.Series([10, 20, 30, 40, 50])\n",
    "s1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "04b26713-532e-4ebd-a3e2-16f648d46376"
    }
   },
   "source": [
    "**[11장: 238페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "519e2a61-61b0-46c0-855b-19d7d385f4eb"
    }
   },
   "outputs": [],
   "source": [
    "s1.index\n",
    "print(s1.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 239페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "6418a920-9525-4608-992b-04e45e00bdb1"
    }
   },
   "outputs": [],
   "source": [
    "s1.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "017f3b47-bcf8-4afb-a814-b39120867dc1"
    }
   },
   "source": [
    "**[11장: 239페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "d7fdd4f8-cfe4-4d35-9027-04a8f895bd39"
    }
   },
   "outputs": [],
   "source": [
    "s2 = pd.Series(['a', 'b', 'c', 1, 2, 3])\n",
    "s2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "31680d68-3153-4b2b-8b9d-79df2337e67d"
    }
   },
   "source": [
    "**[11장: 239페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f71b60e9-e8e7-4b96-bc1c-a9fe3530798b"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "s3 = pd.Series([np.nan,10,30])\n",
    "s3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "39dc5eff-394b-46b3-aa9d-55c70bbd9496"
    }
   },
   "source": [
    "**[11장: 240페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "74f4ebb2-9114-405a-bed9-99bc525a78ad"
    }
   },
   "outputs": [],
   "source": [
    "index_date = ['2018-10-07','2018-10-08','2018-10-09','2018-10-10']\n",
    "s4 = pd.Series([200, 195, np.nan, 205], index = index_date)\n",
    "s4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "0b5f5737-3bbf-4589-a0cf-cef8cc550611"
    }
   },
   "source": [
    "**[11장: 241페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "6a6af860-e19e-42b1-a693-785086548e38"
    }
   },
   "outputs": [],
   "source": [
    "s5 = pd.Series({'국어': 100, '영어': 95, '수학': 90})\n",
    "s5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e34cc6cc-6420-414b-8514-8f57694090d1"
    }
   },
   "source": [
    "#### 날짜 자동 생성: date_range"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e1187589-6ec4-42be-8434-0b0033c8477f"
    }
   },
   "source": [
    "**[11장: 241페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "06d21609-dc59-4651-afde-3c856ea50c4b"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.date_range(start='2019-01-01',end='2019-01-07')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c9e8fe37-37a3-4115-ab80-3cd84eb9b8af"
    }
   },
   "source": [
    "**[11장: 242페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "5a518f1c-dd28-47bb-9b5b-178f04a6948d"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019/01/01',end='2019.01.07')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f4f35f24-624c-40f7-a8bc-ebbfd24736b0"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='01-01-2019',end='01/07/2019')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "07ff4a01-812a-4b08-9522-05bd79a74a48"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01',end='01.07.2019')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e7936ce1-7662-4c7b-bc7f-5d799fd735b7"
    }
   },
   "source": [
    "**[11장: 242페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b384626e-1dd5-4dff-a9a2-72130a5f0a49"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "f8be1526-d123-4fa1-bbee-34be53114801"
    }
   },
   "source": [
    "**[11장: 243페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "d903a44e-29bb-4898-b0f2-eba740edec3c"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 4, freq = '2D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1b7fbe54-966e-4a85-9498-23bce1b6c92a"
    }
   },
   "source": [
    "**[11장: 244페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "fba60d0d-6b69-4f90-8d39-c54b47f51bec"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 4, freq = 'W')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "168498ed-8edd-417e-9156-0cd544cb0677"
    }
   },
   "source": [
    "**[11장: 244페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "0b22ef6d-ad78-4da5-b382-bd6024782c6b"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 12, freq = '2BM')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "f57ff21a-61e6-4103-a2b0-bd02db094b1d"
    }
   },
   "source": [
    "**[11장: 244페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "d445e468-b2cb-4025-8fd9-202b6efb110a"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 4, freq = 'QS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8c66301a-1f3a-4bc3-8f22-9fa545147e23"
    }
   },
   "source": [
    "**[11장: 244페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "cb0573e7-b82a-4cc3-b287-b3f20f556602"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start='2019-01-01', periods = 3, freq = 'AS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8f774986-f8e7-421e-bcae-41248eb12237"
    }
   },
   "source": [
    "**[11장: 244페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "29a2b7cf-7c0a-4ce4-b42c-0569c419df7c"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start = '2019-01-01 08:00', periods = 10, freq='H')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1e16dc55-b746-4e32-a1d2-27b157651f9a"
    }
   },
   "source": [
    "**[11장: 245페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "a34f347c-3fa5-4963-b01e-db885c857a0b"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start = '2019-01-01 08:00', periods = 10, freq='BH')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "f2801b0a-a381-45c8-8c5e-85c24e53add2"
    }
   },
   "source": [
    "**[11장: 245페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "73f4bd90-1578-45f6-88ec-4e2cf26239e1"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start = '2019-01-01 10:00', periods = 4, freq='30min')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 245페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.date_range(start = '2019-01-01 10:00', periods = 4, freq='30T')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4a1a0340-f16f-4fff-8300-7985cc2225f1"
    }
   },
   "source": [
    "**[11장: 246페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "60b46d21-9ffe-496e-9245-20a5cac07ec9"
    }
   },
   "outputs": [],
   "source": [
    "pd.date_range(start = '2019-01-01 10:00:00', periods = 4, freq='10S')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4dd2c3e0-83db-407b-aefa-b9dbb4fbb5fc"
    }
   },
   "source": [
    "**[11장: 246페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "89158dfa-2548-4e6e-9d9c-ffea68274878"
    }
   },
   "outputs": [],
   "source": [
    "index_date = pd.date_range(start = '2019-03-01', periods = 5, freq='D')\n",
    "pd.Series([51, 62, 55, 49, 58], index = index_date )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "109eb28e-8e97-4bf0-903f-00833d9c4791"
    }
   },
   "source": [
    "#### DataFrame을 활용한 데이터 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 247페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 248페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "data_list = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])\n",
    "pd.DataFrame(data_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 248페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "data = np.array([[1, 2, 3], [4, 5, 6], [7, 8 ,9], [10, 11, 12]])\n",
    "index_date = pd.date_range('2019-09-01', periods=4)\n",
    "columns_list = ['A', 'B', 'C']\n",
    "pd.DataFrame(data, index=index_date, columns=columns_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 249페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "table_data = {'연도': [2015, 2016, 2016, 2017, 2017],\n",
    "              '지사': ['한국', '한국', '미국', '한국','미국'],\n",
    "              '고객 수': [200, 250, 450, 300, 500]}\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 249페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame(table_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 250페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f7e8b4a4-6320-40f5-8a00-0c76efbb34c1"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(table_data, columns=['연도', '지사', '고객 수'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "523df774-1955-4d98-894e-b0d4d7dc259a"
    }
   },
   "source": [
    "**[11장: 251페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "dfdbc505-3c93-471f-8efe-ef7f393351af"
    }
   },
   "outputs": [],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ef71dc6e-6241-4c9d-9c35-1b3570720607"
    }
   },
   "outputs": [],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "89700812-7d50-4838-bb93-bdfbdb7c5b90"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "9165b87e-160c-4f61-accb-5af75ff51f50"
    }
   },
   "source": [
    "### 데이터 연산"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 251 ~ 252페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b09d43cf-d07d-4b1f-9de4-f80b60064d24"
    }
   },
   "outputs": [],
   "source": [
    "s1 = pd.Series([1, 2, 3, 4, 5])\n",
    "s2 = pd.Series([10, 20, 30, 40, 50])\n",
    "s1 + s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ce2fd30f-ea31-47c8-8509-e9978ff55d90"
    }
   },
   "outputs": [],
   "source": [
    "s2 - s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c12fc9c5-518f-47d0-948d-c5a850738081"
    }
   },
   "outputs": [],
   "source": [
    "s1 * s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f1b8a023-d45d-4766-bf4c-9837c745b049"
    }
   },
   "outputs": [],
   "source": [
    "s2 / s1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "833f47d2-576a-43bf-8d85-3f853b9a3be3"
    }
   },
   "source": [
    "**[11장: 252 ~ 253페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "11f1de4a-fae8-4320-a8f2-b354c9dce5ab"
    }
   },
   "outputs": [],
   "source": [
    "s3 = pd.Series([1, 2, 3, 4])\n",
    "s4 = pd.Series([10, 20, 30, 40, 50])\n",
    "s3 + s4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "65d55d3d-83d3-4e07-a3ec-721e8b1f3b1f"
    }
   },
   "outputs": [],
   "source": [
    "s4 - s3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "efee25a2-6ed3-4714-a385-bb9efd904fc0"
    }
   },
   "outputs": [],
   "source": [
    "s3 * s4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f3163aac-b6b4-4828-9fdc-0016831ba4c2"
    }
   },
   "outputs": [],
   "source": [
    "s4/s3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1fa941d8-24b8-49a4-9c3d-f5b162ef9fca"
    }
   },
   "source": [
    "**[11장: 253 ~ 254페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "511b791a-d543-4b39-ab49-76606f09a777"
    }
   },
   "outputs": [],
   "source": [
    "table_data1 = {'A': [1, 2, 3, 4, 5],\n",
    "              'B': [10, 20, 30, 40, 50],\n",
    "              'C': [100, 200, 300, 400, 500]}\n",
    "df1 = pd.DataFrame(table_data1)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c32528c1-b65c-4d07-ad63-656dd9f6ba38"
    }
   },
   "outputs": [],
   "source": [
    "table_data2 = {'A': [6, 7, 8],\n",
    "              'B': [60, 70, 80],\n",
    "              'C': [600, 700, 800]}\n",
    "df2 = pd.DataFrame(table_data2)\n",
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "7d39c0ed-66cf-461c-9a35-c5dd1cc8d075"
    }
   },
   "source": [
    "**[11장: 254페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "9c7bc1b2-d48d-44f6-a8a3-3915114885d2"
    }
   },
   "outputs": [],
   "source": [
    "df1 + df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "25fc0c20-2cce-4bf1-9067-d378139989c2"
    }
   },
   "source": [
    "**[11장: 255페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "1893445a-6068-4bfa-afdd-b95cbf4ab4b1"
    }
   },
   "outputs": [],
   "source": [
    "table_data3 = {'봄':  [256.5, 264.3, 215.9, 223.2, 312.8],\n",
    "              '여름': [770.6, 567.5, 599.8, 387.1, 446.2],\n",
    "              '가을': [363.5, 231.2, 293.1, 247.7, 381.6],\n",
    "              '겨울': [139.3, 59.9, 76.9, 109.1, 108.1]}\n",
    "columns_list = ['봄', '여름', '가을', '겨울']\n",
    "index_list = ['2012', '2013', '2014', '2015', '2016']\n",
    "\n",
    "df3 = pd.DataFrame(table_data3, columns = columns_list, index = index_list)\n",
    "df3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c29a5579-b0a2-4a06-be7f-1db061377fad"
    }
   },
   "source": [
    "**[11장: 256페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "39e3b2cc-4a74-4028-9d0f-ea409e237cb6"
    }
   },
   "outputs": [],
   "source": [
    "df3.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "cd7cb1fc-aff2-4eb4-b96b-a136745c7758"
    }
   },
   "outputs": [],
   "source": [
    "df3.std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "b2c0caa5-83a1-41de-8ff3-143e37f568d7"
    }
   },
   "source": [
    "**[11장: 256 ~ 257페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "7de047d9-e444-4106-9e95-a6b86a0da0b6"
    }
   },
   "outputs": [],
   "source": [
    "df3.mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "096c7f0e-262d-4444-b6c3-0555b747e1dc"
    }
   },
   "outputs": [],
   "source": [
    "df3.std(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "5bbce344-b8fe-4333-a1fa-c6c9e3cd7886"
    }
   },
   "source": [
    "**[11장: 257페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "417789a3-66a4-4c52-b967-6855a3b6edb6"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df3.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "aabebd8c-9653-4790-a1ac-5d6416a6a875"
    }
   },
   "source": [
    "### 데이터를 원하는 대로 선택하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "7b8b4fd8-4015-4b2b-bfd3-f0b070122358"
    }
   },
   "source": [
    "**[11장: 258페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "fa8fe338-046c-48ab-a709-6c5e1d69625d"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "KTX_data = {'경부선 KTX': [39060, 39896, 42005, 43621, 41702, 41266, 32427],\n",
    "            '호남선 KTX': [7313, 6967, 6873, 6626, 8675, 10622, 9228],\n",
    "            '경전선 KTX': [3627, 4168, 4088, 4424, 4606, 4984, 5570],\n",
    "            '전라선 KTX': [309, 1771, 1954, 2244, 3146, 3945, 5766],\n",
    "            '동해선 KTX': [np.nan,np.nan, np.nan, np.nan, 2395, 3786, 6667]}\n",
    "col_list = ['경부선 KTX','호남선 KTX','경전선 KTX','전라선 KTX','동해선 KTX']\n",
    "index_list = ['2011', '2012', '2013', '2014', '2015', '2016', '2017']\n",
    "\n",
    "df_KTX = pd.DataFrame(KTX_data, columns = col_list, index = index_list)\n",
    "df_KTX"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "64ab70ce-331b-413a-be4c-684c867cc786"
    }
   },
   "source": [
    "**[11장: 259페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "9594cb7f-7599-49b2-b65f-335bbc6d90b0"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "cf24c377-9bd2-45b0-8047-b47072a5b706"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "639401fd-6ca8-4ae2-b72e-f0c0ff63caf4"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "5330ac64-e0b5-4fac-985f-07849473b7fb"
    }
   },
   "source": [
    "**[11장: 260페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "1fc321cc-0ece-41d5-8edd-d69203c65255"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "64bc39ab-346c-40e7-b1c9-1929ea0f8c01"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "b2ac494e-375a-408d-ad93-9ee0de749a8c"
    }
   },
   "source": [
    "**[11장: 260 ~ 261페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "6852f07c-87ae-4102-9681-8d126cef3b64"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "3d06c73d-3987-470b-933a-48f98fd8d538"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.tail(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "020f7f43-2b88-4405-92ef-ae8fe3a82876"
    }
   },
   "source": [
    "**[11장: 261페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ac73781f-1113-47c9-bc0b-ff1c6f328aa2"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX[1:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fa7444c4-04b5-48b9-a106-5cf38c24ca33"
    }
   },
   "source": [
    "**[11장: 261페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b9b0414d-d865-4259-b25e-4d75950ffbb6"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX[2:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d4651dc6-f125-47d0-a46c-8fe06a7bc4be"
    }
   },
   "source": [
    "**[11장: 262페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f3adbfa8-ca7a-4117-9f75-f4a12cfe7c80"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.loc['2011']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4ec02e25-230b-4dc4-b93d-248362bb6668"
    }
   },
   "source": [
    "**[11장: 262페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "d1dbe790-0599-4dd5-a85f-e7d342fbaec1"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.loc['2013':'2016']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "dcaf4328-bf16-4cec-aa4b-e2b6b4c50dee"
    }
   },
   "source": [
    "**[11장: 263페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "83f35fac-f81a-4767-b858-e720844e9efb"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX['경부선 KTX']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 263페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX['경부선 KTX']['2012':'2014']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 264페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX['경부선 KTX'][2:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fd47ed21-ae36-42ef-8019-6054f1ef7e36"
    }
   },
   "source": [
    "**[11장: 264페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "54f2aafb-cf2d-4ca3-aeed-8b8e7640cf45"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.loc['2016']['호남선 KTX']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "e2171d29-60a5-4cb1-b568-af3a9a93f378"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX.loc['2016','호남선 KTX']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX['호남선 KTX']['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX['호남선 KTX'][5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "327137d4-8ac4-48da-b1de-fb95c9f22935"
    }
   },
   "outputs": [],
   "source": [
    "df_KTX['호남선 KTX'].loc['2016']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "aad3f184-80d5-4588-ad1e-748d2788acba"
    }
   },
   "source": [
    "**[11장: 265페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ef740481-c78b-42fa-af55-91140ed40b96"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_KTX.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 265페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 266페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_KTX[['동해선 KTX', '전라선 KTX', '경전선 KTX', '호남선 KTX', '경부선 KTX']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "63216f7b-1fbc-455f-a690-3439ac18de81"
    }
   },
   "source": [
    "### 데이터 통합하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 세로 방향으로 통합하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 267페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "6d5e6d1b-6fa7-483d-9648-6ca44371399f"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df1 = pd.DataFrame({'Class1': [95, 92, 98, 100],\n",
    "                    'Class2': [91, 93, 97, 99]})\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "cda671f2-a4f9-4be1-887e-826dc1481f68"
    }
   },
   "source": [
    "**[11장: 267페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c14b788a-0686-4b19-b896-ddfa965039e7"
    }
   },
   "outputs": [],
   "source": [
    "df2 = pd.DataFrame({'Class1': [87, 89],\n",
    "                    'Class2': [85, 90]})\n",
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "bdf5b188-38a6-4948-9aa7-954556372961"
    }
   },
   "source": [
    "**[11장: 267페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b5fca501-5a79-4e90-a6c9-185fc6cc4d73"
    }
   },
   "outputs": [],
   "source": [
    "df1.append(df2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "46fee95c-764e-45f7-af46-e2567784af72"
    }
   },
   "source": [
    "**[11장: 268페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "ad7d42a5-0cb7-427b-a370-4c1669bd73dc"
    }
   },
   "outputs": [],
   "source": [
    "df1.append(df2, ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "842a7f12-4cb4-4f51-a169-3cc6438c8fce"
    }
   },
   "source": [
    "**[11장: 268페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = pd.DataFrame({'Class1': [96, 83]})\n",
    "df3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 269페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.append(df3, ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "324f8ab4-47a7-47bb-809f-1086cf588822"
    }
   },
   "source": [
    "#### 가로 방향으로 통합하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 269페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "4f802045-1112-4c7f-b15c-50505922a612"
    }
   },
   "outputs": [],
   "source": [
    "df4 = pd.DataFrame({'Class3': [93, 91, 95, 98]})\n",
    "df4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 270페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "16504a79-f399-44ff-ad96-31d5794a5e01"
    }
   },
   "outputs": [],
   "source": [
    "df1.join(df4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 270페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_label = ['a','b','c','d']\n",
    "df1a = pd.DataFrame({'Class1': [95, 92, 98, 100],\n",
    "                    'Class2': [91, 93, 97, 99]}, index= index_label)\n",
    "df4a = pd.DataFrame({'Class3': [93, 91, 95, 98]}, index=index_label)\n",
    "\n",
    "df1a.join(df4a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 270페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df5 = pd.DataFrame({'Class4': [82, 92]})\n",
    "df5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 271페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.join(df5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fa50d4c7-be82-44ce-9b8f-58da1fbd29da"
    }
   },
   "source": [
    "#### 특정 열을 기준으로 통합하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 271 ~272페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "5daf2b81-614a-444e-b0ec-00d8a5ec0679"
    }
   },
   "outputs": [],
   "source": [
    "df_A_B = pd.DataFrame({'판매월': ['1월', '2월', '3월', '4월'],\n",
    "                       '제품A': [100, 150, 200, 130],\n",
    "                       '제품B': [90, 110, 140, 170]})\n",
    "df_A_B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_C_D = pd.DataFrame({'판매월': ['1월', '2월', '3월', '4월'],\n",
    "                       '제품C': [112, 141, 203, 134],\n",
    "                       '제품D': [90, 110, 140, 170]})\n",
    "df_C_D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1bf2fcbc-20da-452c-a706-3a2a207f76fe"
    }
   },
   "source": [
    "**[11장: 272페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "43dbb77b-728c-453d-8809-7c5c1da3218e"
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   },
   "outputs": [],
   "source": [
    "df_A_B.merge(df_C_D)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8f6bd287-795c-414f-ac90-e22e4e76fe5a"
    }
   },
   "source": [
    "**[11장: 273페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_left = pd.DataFrame({'key':['A','B','C'], 'left': [1, 2, 3]})\n",
    "df_left"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_right = pd.DataFrame({'key':['A','B','D'], 'right': [4, 5, 6]})\n",
    "df_right"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 274페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_left.merge(df_right, how='left', on = 'key')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_left.merge(df_right, how='right', on = 'key')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_left.merge(df_right, how='outer', on = 'key')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_left.merge(df_right, how='inner', on = 'key')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "73667723-2bac-486f-ade3-aadcaac17ba8"
    }
   },
   "source": [
    "### 데이터 파일을 읽고 쓰기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "71bd750f-3f95-4aab-adfa-fa6a23a7cc16"
    }
   },
   "source": [
    "#### 표 형식의 데이터 파일을 읽기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "02b790d8-38c3-464b-8027-73b635ce8f34"
    }
   },
   "source": [
    "**[11장: 276페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%writefile C:\\myPyCode\\data\\sea_rain1.csv\n",
    "연도,동해,남해,서해,전체\n",
    "1996,17.4629,17.2288,14.436,15.9067\n",
    "1997,17.4116,17.4092,14.8248,16.1526\n",
    "1998,17.5944,18.011,15.2512,16.6044\n",
    "1999,18.1495,18.3175,14.8979,16.6284\n",
    "2000,17.9288,18.1766,15.0504,16.6178"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 276페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.read_csv('C:/myPyCode/data/sea_rain1.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8fd90a74-8017-4d15-a2f3-fcfaa8ebe68a"
    }
   },
   "source": [
    "**[11장: 277페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "1e64fd72-3ab3-457f-85a4-3ff66d286bdd"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "pd.read_csv('C:/myPyCode/data/sea_rain1_from_notepad.csv', encoding = \"cp949\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 277페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%writefile C:\\myPyCode\\data\\sea_rain1_space.txt\n",
    "연도 동해 남해 서해 전체\n",
    "1996 17.4629 17.2288 14.436 15.9067\n",
    "1997 17.4116 17.4092 14.8248 16.1526\n",
    "1998 17.5944 18.011 15.2512 16.6044\n",
    "1999 18.1495 18.3175 14.8979 16.6284\n",
    "2000 17.9288 18.1766 15.0504 16.6178"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 278페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "pd.read_csv('C:/myPyCode/data/sea_rain1_space.txt', sep=\" \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 278페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c480956a-f07e-4f3f-b1d6-b7145915b97f"
    }
   },
   "outputs": [],
   "source": [
    "pd.read_csv('C:/myPyCode/data/sea_rain1.csv', index_col=\"연도\" )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "b74c816e-f318-42df-bfd8-3da96ccd3dd9"
    }
   },
   "source": [
    "#### 표 형식의 데이터를 파일로 쓰기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "ef5eba7e-f608-45b6-8d51-dba5b96aa568"
    }
   },
   "source": [
    "**[11장: 279페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "59061773-e9f5-4388-96d5-e161bef22e53"
    }
   },
   "outputs": [],
   "source": [
    "df_WH = pd.DataFrame({'Weight':[62, 67, 55, 74],\n",
    "                      'Height':[165, 177, 160, 180]},\n",
    "                       index=['ID_1', 'ID_2', 'ID_3', 'ID_4'])\n",
    "df_WH.index.name = 'User'\n",
    "df_WH"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d56dc642-606f-4b63-ad4e-7152d90e52ef"
    }
   },
   "source": [
    "**[11장: 280페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "d9c79920-e088-4ca4-ba47-af5c814e1aaf"
    }
   },
   "outputs": [],
   "source": [
    "bmi = df_WH['Weight']/(df_WH['Height']/100)**2\n",
    "bmi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ca81541f-0d79-497a-810d-412d08530efa"
    }
   },
   "source": [
    "**[11장: 280페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "674e3021-875b-435e-8df8-2f7728bb61fb"
    }
   },
   "outputs": [],
   "source": [
    "df_WH['BMI'] = bmi\n",
    "df_WH"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d5c73eec-9850-4af4-bfd5-f7fd6145cdd5"
    }
   },
   "source": [
    "**[11장: 281페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "7b76d25e-5dcb-4dc7-aa39-a17209cb47bc"
    }
   },
   "outputs": [],
   "source": [
    "df_WH.to_csv('C:/myPyCode/data/save_DataFrame.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "06b094bc-f809-4e9d-9317-467f755dfc7a"
    }
   },
   "source": [
    "**[11장: 281페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "eb190480-c43c-45bb-aeca-695375f0d8e6"
    }
   },
   "outputs": [],
   "source": [
    "!type C:\\myPyCode\\data\\save_DataFrame.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 281페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pr = pd.DataFrame({'판매가격':[2000, 3000, 5000, 10000],\n",
    "                       '판매량':[32, 53, 40, 25]},\n",
    "                       index=['P1001', 'P1002', 'P1003', 'P1004'])\n",
    "df_pr.index.name = '제품번호'\n",
    "df_pr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 281페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name = 'C:/myPyCode/data/save_DataFrame_cp949.txt'\n",
    "df_pr.to_csv(file_name, sep=\" \", encoding = \"cp949\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[11장: 282페이지]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!type C:\\myPyCode\\data\\save_DataFrame_cp949.txt"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "92fa093d-248c-4f8e-8b43-0c0e772b7c3c"
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   },
   "source": [
    "## 11.3 정리"
   ]
  }
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