Unit 11. Data Visualization(Etc).ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 2. 막대그래프 (bar chart)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 1) 막대 그래프 : bar()"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nplt.bar([1,2,3,4],[10,20,30,40]) # 값을 바꿔보세요!\nplt.show()",
      "execution_count": 2,
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 2) 막대의 폭 지정 : width"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "burger = [6, 10, 8]\n\nplt.bar(range(3), burger, width = 0.4)\nplt.show()",
      "execution_count": 5,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 3) 틱 설정 : 축 상의 위치 표시 지점, xticks(), yticks()"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "brand = ['B-Burger','L-Burger','M-Burger']\nburger = [6, 10, 8]\n\nplt.bar(range(3), burger, width = 0.4)\nplt.xticks(range(3), brand) \nplt.yticks([6, 8, 10])\nplt.show()",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 4) 그리드 설정 : grid()"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "brand = ['B-Burger','L-Burger','M-Burger']\nburger = [6, 10, 8]\n\nplt.bar(range(3), burger, width = 0.4)\nplt.xticks(range(3), brand) \nplt.yticks([6, 8, 10])\nplt.grid(True)\nplt.show()",
      "execution_count": 7,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 5) 그림 범위 지정 : xlim, ylim"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nplt.bar([1,2,3,4],[10,20,30,40]) # 값을 바꿔보세요!\nplt.xlim(0,5)\nplt.ylim(-2,50)\nplt.show()",
      "execution_count": 8,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 6) 범례 설정"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "plt.rc('font', family='AppleGothic') \n\nbrand = ['B-Brand','L-Brand','M-Brand']\nburger = [6, 10, 8]\npizza = [14, 20, 19]\n\nplt.bar(range(3), burger, width = 0.4, label='햄버거가격')\nplt.bar([0.5,1.5,2.5], pizza, width = 0.4, label='피자가격')\nplt.legend()\nplt.xticks([0.25,1.25,2.25], brand)\nplt.show()",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "image/png": 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jgL7kzuxbfQK4SVIN8CFwZURsLnffZmaWTofCPyJm5U3/BTioROnS5Ke19l7g3jL6Z2Zme4A/4WtmlkEOfzOzDHL4m5llkMPfzCyDHP5mZhnk8DczyyCHv5lZBjn8zcwyyOFvZpZBDn8zswxy+JuZZZDD38wsgxz+ZmYZ5PA3M8sgh7+ZWQY5/M3MMsjhb2aWQR0Kf0kTJH0lb/4oSUsl/VrSHEn7llivRtKPJD2b/Hw2bcfNzKx87Qp/SYdJWgFcU7BoOnBJRBwPzAZuKLGJscCaiDgOOBO4WVKPMvtsZmYptSv8I2J9RJwIXNfaJulY4O2IeCOpmUfuC92LOR/4YVK3EVgAjEzRbzMzS6FDX+Be4Ejg1YK2jZL6RMR7Be01EbE1b/71ZP0dSBpL7l0Chx9+eIquWWdXP35+tbvQLmunnV3tLpjtEWku+AqIIu3F2orZqS4iZkZEQ0Q01NXVpeiamZntSprwfwMYVNDWLyLeL1IbknrmzQ8C1qTYt5mZpVB2+EfEC8AgSR8HkDQSWJZMHytpYl75XOCKZFlvYATwRLn7NjOzdNKM+QNcDTwgScB64NKkvS9Qn1d3O3BHcsfQNuAbEdGcct9mZlamDoV/RMwqmH8R2Ome/YhYCizNm28GLi+vi2ZmVmn+hK+ZWQY5/M3MMsjhb2aWQQ5/M7MMcvibmWWQw9/MLIMc/mZmGeTwNzPLIIe/mVkGOfzNzDLI4W9mlkEOfzOzDHL4m5llkMPfzCyDHP5mZhmU9stczOwjqn78/Gp3oV3WTju72l3oknzmb2aWQanO/CXVAIsLmg+OiGMK6h4CDgEiaXouIq5Ns28zMytfqvCPiG3A0NZ5SQOAW4uU9gfOjIgtafZnZmaVUelhn6uBGRXeppmZVVjFwl/SfsAnI+LfS5TcLOlxSU9KOq3ENsZKWilpZWNjY6W6ZmZmBSp5t8/lwD0llk0D3oyIVyX1B+ZLOj0iNuYXRcRMYCZAQ0NDFNmOmZlVQEXCP7nwew4wotjyiFiYN/2upBVAPbCxWL2Zme1ZlRr2+e/Az5MLwEg6VtLE1oWSTpDULZk+BBgCvFKhfZuZWQdVatjnMuAf8ub7kjuzb/UJ4KbkHcKHwJURsblC+zYzsw6qSPhHxBkF80uBpXnz9wL3VmJfZmaWnj/ha2aWQQ5/M7MMcvibmWWQw9/MLIMc/mZmGeTwNzPLIIe/mVkGOfzNzDLI4W9mlkEOfzOzDPrIfoG7v3zazKw0n/mbmWWQw9/MLIMc/mZmGeTwNzPLIIe/mVkGOfzNzDIoVfhLelXSkryfL+2i9gZJKyX9RtIX0+zXzMzSSXuf/3sRMXR3RZLOAvpFRIOkWmC+pKUR8YeU+zczszLsrWGfy4FpABGxBbgLuGAv7dvMzAqkDf8DJd0jabGkn0mqL1F3cES8kzf/OnBkYZGkscnQ0MrGxsaUXTMzs1LShv8k4LqIGA7cBvxLiToVaYudGiJmRkRDRDTU1dWl7JqZmZWSKvwj4v6I2JhMrwD2KVHaKKl/3vwgYE2afZuZWfnS3u1zct703wNvJ9MHSZqeV3ofcF2yrCcwGngwzb7NzKx8ae/2+SdJNwA9gHeAK5P2/cid3QMQEY9KOk7SM+SGe6ZERFPKfZuZWZlShX9EXF2i/T+BswraJqbZl5mZVY4/4WtmlkEOfzOzDHL4m5llkMPfzCyDHP5mZhnk8DczyyCHv5lZBjn8zcwyyOFvZpZBDn8zswxy+JuZZZDD38wsgxz+ZmYZ5PA3M8sgh7+ZWQY5/M3MMsjhb2aWQam+ySv5Dt8JwL5AL2BSRDxRUHMbcBLQnDStj4h/TrNfMzNLJ+13+NYAF0bEnyT1AZYCTxTUHAhcFhGrU+7LzMwqJO13+C7Lm30f2CxJERHpumVmZntSRcb8JXUDbgPuKRH84yT9UtISSf+4i+2MlbRS0srGxsZKdM3MzIpIO+yDpIOA6cBDETGvSMndwOaIeE5Sb+AXkn5bbBgoImYCMwEaGhr87sHMbA9Je8H3r4EZwBURsa5YTUQ8nTe9SdJ8YDDgawBmZlWSdtjnRuDS/OCXdJCk6XnzfyepZzLdGzgbeCblfs3MLIW0wz4nAw9Lym+7AhiUN38oMEVSDSDgxohYn3K/ZmaWQtq7fY4sseisvJrHgMfS7MfMzCrLn/A1M8sgh7+ZWQY5/M3MMsjhb2aWQQ5/M7MMcvibmWWQw9/MLIMc/mZmGeTwNzPLIIe/mVkGOfzNzDLI4W9mlkEOfzOzDHL4m5llkMPfzCyDHP5mZhnk8Dczy6DU4S/pYEmPS3pG0v+VdGiJuhskrZT0G0lfTLtfMzMrXyXO/L9H7nt5TwAmALcVFkg6C+gXEQ3kvvf3q5IOrMC+zcysDKnCX9IB5EL9GYCIWAnsn7TnuxyYltRsAe4CLkizbzMzK58iovyVpSHApRHxtby2GcC9EfF8XtvTEXFq3vzfAaMj4uqC7Y0FxiazRwGvlt25ru1A4A/V7oTtko9R55fVY/TxiKjbXVH3lDsRUOzVo7BN7aghImYCM1P2qcuTtDIZIrNOyseo8/Mx2rW0Y/5rgSML2gYm7fkaJfXPmx8ErEm5bzMzK1Oq8I+IjcBfJP0tgKRPkXub1VPS9LzS+4DrkpqewGjgwTT7NjOz8qUd9gEYB9wjaV/gj8AlwH7kzu4BiIhHJR0n6Rlywz1TIqKpAvv+qMr80FcX4GPU+fkY7UKqC75mZtY1+RO+ZmYZ5PCvEEk3SvqtpCWSVkj6saRidzkhaVNStzSpPWEP9GdFpbfZ1SXHaGQ76nx8qiA5Ps+WWDax2N9M0lBJbyfHa1nylIF+Fe5XraQlldxmZ+Dwr6xvRsTQiDgR6AEML1G3Kqn7e+BC4Ja91kNrDx+f6umbfA6ojaQa4PRdrPOT5Hh9FpgNfH1PdvCjwuG/5zwPHLy7ooh4A+i157tj5fDx2evuAq4oaDsHWNDO9dv1784qc7ePFZC0P3Au8KV21F4ALEumbwT+CjgN+N9AI7lbZHsDv4qIb0qqBy4D/gY4DNhI7lEZLcD/AQYD7wP5n6uwMvn47HUvACMk9Y6ITUnbZcDFwC4fCCmpG3Al8PNk/klgOTAyWf/sZLofMDUifippDLmT4H8C+gILI+I7yQMq7yJ3vNdX9DfsJBz+lXWrpAnA0cASYHOJusHJGGJv4OPkhhZaHQ+cFBEtkj4BjIyI7ZIWSBoM/IXcs5JOiYg3JI0HxgD7A6sj4iuS9iP3j8jK4+NTXQ8A/wzcIelooCkimkpcQgO4UNKJ5F5s/wK0fsaoO1CTPHQSST0i4nvJbekrgJ8mdV8i98KwGZifHMfbgP8ZESuT4/zDiv+WVebwr6xvRsRCAEn/CDwCnFmkblVEDE3q+gFzJH2QLLs3IlqS6VeBz0k6BRgA/Lek7dFkOAJy/xOfCZxK7oyUiPiTpMZK/3IZ4uNTXQ+TG+a5A/gfyX935ScRMR4gCep5ko5PluXf6/+2pIuBvwUOktQ6nHdHRPwlWf/X5N619UweVAnwn2l/oc7I4b+HRMQjku4uuEvgkoh4s6CuSdIc4KSkaUPe4geAJ8gNMdTwX89Iyq8haa8Btue17Z/uN/jok9QXmJvX5OPTCUTEZkn/Iel04NiIaL3Lp1vev6c/RsS5RdZ9WdIqcu++ITkWybutecBkcsf8JEofL4BtedMfyWPlC757SPI/7q+TuxBaf94sUteL3PWBYrf+HUXu0Rhbk5qS73uBp8l9uhpJp5L3CWsrLiI2+vh0Wj8m9+L6r3lt2/OO1U7BDyDpMHLXVVYXLBoIvBURT5J7HtmxlD5eW4F9kuEfyF1z+MjxmX9l3ZqM8dYCfwIuLVHXOqbcjdxZxT0RsUxS4a2hd5MLnY3AvwBTgC+U2OZNwN3JBazXSS5S2k5aj1Gr0RHxdkGNj0+VRcTq5L7+n7SjvHXMvwfQE/hqMrSWX/NbICQtIzeM8xNyt/D+psQ2vwzcmVxE/jnQXN5v0nn58Q5mZhnkYR8zswxy+JuZZZDD38wsgxz+ZmYZ5PA3M8sgh7+ZWQY5/M3MMsjhb2aWQf8f1efOVgaTowkAAAAASUVORK5CYII=\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### 7) 수평 막대 그래프 : barh()"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nbrand = ['B-Burger','L-Burger','M-Burger']\nburger = [6, 10, 8]\n\nplt.barh(range(3), burger, height = 0.4,)\nplt.yticks(range(3), brand)\nplt.show()",
      "execution_count": 5,
      "outputs": [
        {
          "data": {
            "image/png": 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jk+zb/X9wEhP0jQrTXAuc2T0+E/jcKE4yMR8oWVXPJvld4CYG3/1xcVXd3/NY43QC8Hbg3iR3d9v+uKpu6HEmjc/vAZd1f6H6FvCOnucZm6q6I8nVwJ0MvgvyLvbwn6xPcjlwIrA4yUbgA8Ba4Mokv8EgtL82knP7E/WSpFYm6e0vSdKIGRVJUjNGRZLUjFGRJDVjVCRJzRgVSVIzRkWS1IxRkSQ18z+k30ohc4/dTwAAAABJRU5ErkJggg==\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 3. 히스토그램 (histogram)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "- 도수분포 : 표본의 다양한 산출 분포를 나타낸 것. 각 항목은 특정 그룹이나 주기 안에 값이 발생한 빈도나 횟수를 포함한다.\n- 히스토그램 : 도수분포표를 그래프로 나타낸 것\n- hist() : 히스토그램 그리기, 데이터 집계 결과를 반환한다.\n- bins 인수로 데이터를 집계할 구간 정보를 받는다."
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nplt.hist([1,1,2,4,5,7,8,9], bins = 9)\nplt.show()",
      "execution_count": 16,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "plt.hist([1,1,2,4,5,7,8,9], bins = 3)\nplt.xticks([2,5,8],['1~3','4~6','7~9'])\nplt.show()",
      "execution_count": 18,
      "outputs": [
        {
          "data": {
            "image/png": 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6LgM+PML6M5LcCRxO7z/pqxZiqMXmFo0kNcotGklqlIGXpEYZeElqlIGXpEYZeElqlIGXpEYZeElqlIGXpEb9HzpmfjW/gaTXAAAAAElFTkSuQmCC\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import random\nresult = []\n\nfor i in range(100):\n    result.append(random.randint(1,6))\n    \nplt.rc('font', family = 'AppleGothic')\nplt.title('주사위 시뮬레이션 결과(100번)')\nplt.hist(result, bins = 6, color='g')\nplt.show()",
      "execution_count": 19,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "result = []\n\nfor i in range(1000000):\n    result.append(random.randint(1,6))\n\nplt.rc('font', family = 'AppleGothic')\nplt.title('주사위 시뮬레이션 결과(1,000,000번)')\nplt.hist(result, bins = 6, color='y')\nplt.show()",
      "execution_count": 21,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 4. 상자 수염 그림 (boxplot)"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nimport random\n\nx = []\ny = []\nz = []\n\nfor i in range(100):\n    x.append(random.randint(1,100))\n    y.append(random.randint(1,100))\n    z.append(random.randint(1,100))\n    \nplt.figure(dpi=300)\nplt.title('평가 결과 분석')\nplt.boxplot([x,y,z], labels = ['1반','2반','3반'])\nplt.show()",
      "execution_count": 24,
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": "<Figure size 1800x1200 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 5. 산포도 (scatter)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "- 산포도 : 자료의 분산 상황을 나타내는 수의 값. 변량이 분포의 중심값에 흩어진 정도."
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nplt.scatter([1,2,3,2],[2,3,3,1])\nplt.show()",
      "execution_count": 25,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nimport random\nx = []\ny = []\n\nplt.title('랜덤 좌표')\n\nfor i in range(100):\n    x.append(random.randint(1,10000))\n    y.append(random.randint(1,10000))\n    \nplt.scatter(x, y)\nplt.show()",
      "execution_count": 26,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": " 점의 크기 모양 변경\n - s='숫자' : 점의 크기 \n - c='색상' : 점의 색깔 \n - edgecolor='색상 : 점의 테두리 색상 \n - alpha='숫자' : 점의 투명도"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nimport random\nx = []\ny = []\nz = []\n\nplt.title('랜덤 좌표, 랜덤 사이즈')\n\nfor i in range(100):\n    x.append(random.randint(1,10000))\n    y.append(random.randint(1,10000))\n    z.append(random.randint(1,1000))\n    \nplt.axis([-1000, 11000, -1000, 11000])\nplt.scatter(x, y, s = z, c = ['r','y','m','c']*25, alpha = 0.3)\nplt.show()",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## 6. 원 그래프 (pie)"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nsize = [15, 20, 25, 40]\n\nplt.pie(size)\nplt.show()",
      "execution_count": 13,
      "outputs": [
        {
          "data": {
            "image/png": 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PekOeH7q1rvdQ6rJyK2A+21TcvQkmatu/CcXdpjtA2PSuV+t+Pcv/pEfDlpNdjHyiSRg8BLdo27kUN2SOfjtYdP7/BQcUwAjdWULO17lzE4q7VXeAMOjUrBqvftxfGF1lztq/IZf3xZURt4MGrVd1N/zB94ubpbQ5pHXAkeJa7szZ/tyTF6hDHeiqO0ue2eP00mwzobhyqNwOpQ2qfnrcXzpgkxmrDuahDTp3bkJxZcRto0NWBLVXPBn0KgyQNZD1yfsRd5PuALZwlAoueiGYM26pGu9Aoe48ecxH8+vWhOKu0B3ABr3r1bqbZvnruzdwlO4sgo3RhKf1ifDapzzWTq3dANTrzmGyY5YEC++62y/u3sBw3VkEoPkwGcwYcQHqgJG6Q5imqFltv+ZRf9FBa+Qyj2G0PLO4JSmuoSo/UXXXP+wHcm3WSJ7uAKYU9wPdAUwy+RV/zomvqVEOdNGdReySFDetTncAE3RrUF9Mf8hPlH8ho6zhEroDmFLcvB9xh9cF71z+ZNC7UCGLuZlPRty0vC1uQaD8i58P5o5JyLVZS6yPJjztcw+0Xw4CqJ1auwZYoztHrvX9Qq29/zb/3bEJdZSU1hpL9/4j2WdEcdPy6o7vY98MXrvzHr9L9+0M051FtMkC3QHAnENlSBX3TN0hsq1zUjVc86j/+pC1cgLKUkYMMCYVN/TrIu2/Tn1w3R99Osu1WVv5yIj7b94DNgJluoNkw5R/+HOOXyjXZi23JJrwNusOAQZ9xq2dWquAebpzZFq3bWrTnXc3LzxhoZogpbWeMUeFxhQ3zYjPD5kycnnw9v23+w396hmtO4vICGNenyYdKoNB72gdURAo/9Lngrmjl8m12RBpBv6pO8QOphX3DWA9YO1Dl/t9odbMeND/vFuj3DcbMq+YMPFiB6MOlWun1vrAE7pztNd33gheu+Mev7RbI4foziIy7indAVoybcQFeBy4SHeItuicVA2xR/zFB6yThdtCKgCe0x2iJROL+yrwETBId5DWGLxOLb/2Yb+gsy+lDbG50YT3qe4QLRl1qAz/uiz0v7pztMY5L/tzpj/kf6Ozz2DdWURWPa07wM5MHHEBHgN+oTvE7nTfpjbOmOUv7/ulzIDKAwHwjO4QO3OU0rpY3W65cdcDqnTn2Nlh7wdLLnsm6F+oGKA7i8iJmmjCm6Q7xM6MO1Ru4XHdAVoqCJR/2dP+7GlPB4dIafPK3boD7IrJxX2Q1EVv7fpvUqsfuNVfOvp99R+O2f9nIrNWAH/RHWJXjH0R1k6tXYUBo+5xi4NXb7/X717aiKs7i8i5mdGEF+gOsSumnpza4SZgio4dd06qbdf+0X9j8CdymSdPbQce0B1id4wdcQFqp9bWouFQZfBa9f6Dv/PXSWnz2pPRhPe57hC7Y/qIC3AzcFyudnbu3/zZ31usjnCgOFf7FMZRpI72jGXs5aCW3Li7GDg0m/vosVV9PuMhv67Plxyezf0IKzwRTXhn6A6xJ0YfKrdwczY3PmpZ8NbMO/yklFaQmnAR0x1ib2w4VIbUnRl1kNmphQWBar7smWDeYcvVBLnMI9IejyY87Que740VL9b07X7Vmdxm/41q9QO3+olRy9VRUlqR5gPX6g7RGlZ8xt3BjbsvA8d0dDvfXxQsmPpyMNSBSAZiifCIRxPeubpDtIYth8o7XAIsoZ3LwRQ3pa7N7r9eLvOIf7MVuFp3iNay6hCxdmrtu8A97fndA9eoZQ/e6q+X0orduDaa8FbpDtFato24ANeQeuJBn9b+wo9f8ud89001Wq7Nit14F/id7hBtYdVn3B3cuHs+cO/efq7HVvX5r2f5K3pvZlQOYgk7KWBCNOFZtaa3VYfKLdwPvLWnHxidCN687w6/WUor9iJuW2nB0hEXwI27o0g9x+Vrh/sFgWr+xVPB/BF1arxc5hF7sRE4KJrwNugO0lbWvrBrp9a+Dlzf8s/KN6pVD/7OXzayTu6bFa1ygY2lBftf3DeSWhWSSQuDBbfN9CNdmxiqOZOww8PRhGftGt7WHirv4MbdwTfGm+89cC3H6s4irPEhMDya8L7UHaS9rC8ugFcVnQw8ojuHsEISODKa8BbpDtIRth8qAxBNeI8Cv9edQ1jhcttLCyEpbtrF7OUSkch7z0QTnlUTLXYnNMWNJrwG4Hhgje4swkiLgXN0h8iU0BQXIJrw1pAq71bdWYRRVgEnRBPeNt1BMiVUxQWIJry3gLNIrWQgxGZgYjThrdMdJJNCV1yAaML7E/DfunMI7XzgjGjCq9UdJNNCWVyAaMK7Dbhddw6h1UXRhPei7hDZENripl0KzNQdQmjx82jCa9e92zYIdXGjCU8BFyDlzTc/jya8W3WHyKZQFxekvHko9KWFPCguSHnzSF6UFvKkuPC18t6hO4vIuIDUiai8KC2E5CaDtvKqopcAvyWP3rhCbCswOZrwXtAdJJfysrgAXlV0EvAY0E13FtFua4Dj05Nu8kreFhfAq4oOB/4MDNSdRbTZEmBSeppr3snrQ8VowlsCHA68qTuLaJM/kbqnNi9LC3leXIBowlsLjKOdC62LnGom9QypE6MJL69vJMnrQ+WdeVXRk4AHgDLdWcS/WQGcFYab4DMh70fclqIJ7zlgGDBHdxbxNY8CI6S0X5ERdxe8qmgBcBWpx5206wFjIiO2AP8VTXhx3UFMI8XdA68qOozUZ98xurPkoWeBS2x6EFcuSXH3wquKOsBPgRnIZ99cWElqlK3RHcRkUtxW8qqifYGbgKmAozlOGDUBvwFuSK8fJvZAittGXlV0PHAzMFp3lhD5MzAtmvASuoPYQorbTl5VdCJwHTBSdxaLvQRcI2eL206K20Hpa7/XAa7uLBZ5Bbg6mvDm6w5iKyluBqRPYJ0GTAMO0xzHVAr4O/CraMJ7RXcY20lxM8yrio4CLgTOBEo0xzHBJuAh4J5owluuOUtoSHGzxKuKlgE/InXz/mDNcXR4A7gbeEzOEmeeFDfL0ofRR5MagU8BeutNlFWrgCdIlfUN3WHCTIqbQ15VtBNwLHAScAIwQG+ijPgAeI7UTKdX00sEiSyT4mqSHokPB74FTADGAt21hmqdz4B5pG7E+Gs04S3VnCcvSXEN4VVFC0ndmTSer4pcrjVUykq+KupcmSRhBimuwdInuKJA1U7fK8nsLZlJUoe8CcBr+T2a8LZkcD8iQ6S4FkrfdlgG9NnFV1d2PZdakXpy3YZdfH0hn03tIsUVwkKyAoYQFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFpLiCmEhKa4QFvp/ebRCTvGCy6MAAAAASUVORK5CYII=\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\n\nsize = [13, 2, 14, 7]\n\nplt.pie(size)\nplt.axis('equal')\nplt.show()",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fba1b9e45c0>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "파이차트 그리기\n- size : 파이 차트를 구성할 데이터\n- explode : 파이 조각이 돌출되는 크기. 0이면 돌출되지 않음\n- labels : 파이 조각의 라벨\n- colors : 파이 색깔\n- autopct : 파이 조각의 전체 대비 백분율\n- startangle : 그려지는 파이 조각 시작 위치. 90이면 12시 방향임. 파이 조각은 이 각도 기준을 반시계 방향으로 그려짐\n- shadow : 파이 차트의 그림자 효과 유무"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nplt.figure(figsize=(6,4), dpi=300)\n\nsize = [231, 132, 94, 341]\nexplode = (0, 0, 0, 0.1)\nlabels = '기린', '고양이', '토끼', '강아지'\ncolors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']\n\nplt.title('좋아하는 동물 투표 결과')\nplt.pie(size, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', startangle=90, shadow=False)\n\nplt.axis('equal')\nplt.show()",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fba1bca1a20>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": false
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "name": "python",
      "file_extension": ".py",
      "version": "3.5.4",
      "pygments_lexer": "ipython3",
      "codemirror_mode": {
        "version": 3,
        "name": "ipython"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}