data_visual_d14_01.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "data_visual_d14_01.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "mount_file_id": "1862wOkD2Gv6aMT0Fxjt32RMTvbS5HF4A",
      "authorship_tag": "ABX9TyMnORTxZUJ2GQR2Kx+lOLw/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/OHTORO87/ai_class/blob/main/data_visual_d14_01.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rG2fZQ-g4PJ_"
      },
      "source": [
        "## 일단 import 3개 하고 시각화 시작하기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DXmlybbL0IKC"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "o1jFZPK435ox",
        "outputId": "fcb125ea-1971-4d90-a1e0-2463da6cccf5"
      },
      "source": [
        "plt.plot([1, 2, 3, 4])\n",
        "plt.show()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1y3a1Or84cW4"
      },
      "source": [
        "## 기울기 변화"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "mLPnESnj4Dse",
        "outputId": "f20c5bc8-035d-4961-d95e-81d7e9204f9d"
      },
      "source": [
        "plt.plot([1, 4, 9, 16])\n",
        "plt.show()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ut-m8he94gcP"
      },
      "source": [
        "a1 = np.array([1, 2, 3, 4])\n",
        "a2 = np.array([1, 4, 9, 16])"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z9gVVb1d4xb5",
        "outputId": "211dc38b-5b3e-4d37-bfad-cfae7f8342c9"
      },
      "source": [
        "a1"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 3, 4])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w8pg0-i94y6t",
        "outputId": "e69b4679-0106-416e-8825-0dc0113dc887"
      },
      "source": [
        "a2"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  4,  9, 16])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cdmVQX6z5CBW"
      },
      "source": [
        "## a1이 x축, a2가 y축"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "Xv7c-LU942P1",
        "outputId": "6f9b4290-1463-4f00-a125-6402db457327"
      },
      "source": [
        "plt.plot(a1, a2)\n",
        "plt.show()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "txXW-wCw5Q-A"
      },
      "source": [
        "## y축에 abcd 넣기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "w7RMK-kB46MV",
        "outputId": "e6d68fee-6536-49cc-8067-bdafb91353ac"
      },
      "source": [
        "plt.plot(['a', 'b', 'c', 'd'])\n",
        "plt.show()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "B_04DWD_5Nrl",
        "outputId": "6647803c-1246-4e91-e7ac-f478c910b593"
      },
      "source": [
        "plt.plot(['a', 'b', 'c', 'd'], a2)\n",
        "plt.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q7gIEp767SfN"
      },
      "source": [
        "## [오늘 공부할 내용 예제]"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "8x6_92925Zxv",
        "outputId": "36590f05-f069-4857-d621-a7995e647d7c"
      },
      "source": [
        "a3 = ['a', 'b', 'c', 'd']\n",
        "plt.plot(a3, a2)\n",
        "plt.show()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b-VKnaKz7wMl"
      },
      "source": [
        "## figure로 캔버스 사이즈 조절"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "UTEh8jJJ7MD4",
        "outputId": "8b6a8b13-709b-4bb8-8e16-7fdbece7c1e1"
      },
      "source": [
        "plt.figure(figsize=(4, 4)) \n",
        "plt.plot(a3, a2)\n",
        "plt.show()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 288x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "id": "dMgzTms-7eSt",
        "outputId": "a925cd6c-daba-467a-987b-874ed5bacf2b"
      },
      "source": [
        "plt.figure(figsize=(4, 8)) \n",
        "plt.plot(a3, a2)\n",
        "plt.show()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 288x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "WUpRiSAH7oSu",
        "outputId": "9bfa3f4b-04de-495e-dcae-9dd42ecda46b"
      },
      "source": [
        "plt.figure(figsize=(8, 4)) \n",
        "plt.plot(a3, a2)\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tEpHN0ez8Fld"
      },
      "source": [
        "##그래프 색깔 바꾸기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "DEqIooH97s3k",
        "outputId": "cfa00b55-3a4b-4b3d-8bf9-800e832bd335"
      },
      "source": [
        "plt.plot(a3, a2, color='g')\n",
        "plt.show()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "VyzIZZID8AxR",
        "outputId": "ea1ca11d-7950-4e9d-a17c-bb8c1b218e11"
      },
      "source": [
        "plt.plot(a3, a2, color='magenta')\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "LvcV7Kfb8Jac",
        "outputId": "8f8cb691-9cdf-4a41-ec69-2a24d642130c"
      },
      "source": [
        "plt.plot(a3, a2, color='black')\n",
        "plt.show()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Evu8ma3u8aDH"
      },
      "source": [
        "## 그래프 변곡점마다 점찍기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "rUo9yfEX8R2T",
        "outputId": "4a1a320a-aa8c-4724-a87d-5d6dfa64ccfb"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='s')\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "cmz2X4_Y8ZFE",
        "outputId": "a950e693-61c3-4671-f15b-95ce7873a4da"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='<')\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BzGw88EdgdDiCiUST5duWkzghkW82fUOHizrwZvs3Oef0c7yOJT4XSoGvB640swr8cgulNbAwLKlEokRmdiYD5wzkhTkvULlcZcbeOpaul3bVFmcSFqHcA19gZh8BacBRIB0YFq5gIn73zaZvSJyQyPJty+nRsAdD2g2heoXqXseSKBLSKhTn3DPAM2HKIhIVDmYd5Okvnua1Ba9xZsUzmdh9Ih0u6uB1LIlCmsQUCaOZP80kaWISa35ew92X381LbV6icrnKXseSKKUCFwmDPYf38Mj0R3g77W3Or3o+M3v9skRQpDCpwEVCNHHVRO6ZfA9b9m/h4ase5tlrn6VC6Qpex5JiQAUuUkDbD2zngakP8N7y92hYoyGfdP2EK86+wutYUoyowEXyyTnH2OVjeWDKA+w9spfnrnmOx5o/pl3gpcipwEXyYcOeDfx58p+ZvHoyTc9uSnKnZC6tcanXsaSYUoGL5EHQBRm2aBiPTn+UbJfN4LaDuf8P9+vLp8RTKnCRU1i9czV9JvZh1rpZtK7bmmEdh3Fe1fO8jiWiAhc5maPBowz+ajD/9+X/UbZkWQIdAyTEJWgMXiKGClzkBJZuXUrihEQWbl5I53qd+Xf7f3NWpbO8jiXyKypwkeMcOXqEF+a8wMC5A6lWvhofdPmALpd00VW3RCQVuEiOrzZ8ReKERFbuWEnPy3oyuO1gzqhwhtexRE5KBS7F3oHMAzz1xVO8vuB1zjn9HD7r8Rk3XHiD17FETkkFLsXa52s+p8/EPqzdvZZ74+9lYJuBnF72dK9jieSJClyKpd2Hd9N/Wn9SFqdwYbULmXXXLFrWbul1LJF8UYFLsfPJd59w7+R72XZgG481e4xnrn6G8qXLex1LJN9U4FJsbN2/lfun3M+HKz6kUc1GTOw+kcvPutzrWCIFFlKBm1kVIAA0AByQ4Jz7KhzBRMLFOcfopaPpN60f+zP380KrF3jkj49QumRpr6OJhCTUK/AhwFTnXBczKwPoS5Aloqzfs567J93N1B+mctU5V5HcKZn6MfW9jiUSFgUucDOrDLQE7gJwzmUCmeGJJRKaoAvy5n/f5PEZj+Oc4/V2r3PvFffqy6ckqoRyBV4X2A4MN7NGwCLgQefcgeOfZGZ9gb4AsbGxIZxOJG9W7VhF0sQk5q6fy3XnXcewjsOoU6WO17FEwq5ECH+2FNAEeNM5FwccAB7P/STn3DDnXLxzLj4mJiaE04n8vqPBo7w490UavdWI5duWM7zzcKbdMU3lLVErlCvwjcBG59yCnN8/4gQFLlIUFm9ZTOKERNIy0ril/i0MvXEotSrW8jqWSKEq8BW4c24LsMHM6uUcag2sCEsqkTw6fPQwT814ivhh8Wzau4mPbvuIcX8ap/KWYiHUVSj3A2NyVqCsAXqHHkkkb+atn0fihERW7VxFr0a9GNR2ENXKV/M6lkiRCanAnXOLgfgwZRHJk/2Z+3lyxpO88c0bnFv5XKbePpW2F7T1OpZIkdMkpvhK6o+p9J3Yl/V71nPfH+7jhVYvUKlsJa9jiXhCBS6+sOvQLvqn9mfE4hHUO6Mec3rPoVlsM69jiXhKBS4Rb9yKcfzls7+w4+AOnmz+JE9f/TTlSpXzOpaI51TgErEy9mVw35T7GL9yPHG14ph6x1Qa12rsdSyRiKECl4jjnGPkkpE8NO0hDmUdYmDrgfS/qr++fEokFxW4RJS1u9fSd2Jfpq+ZTvPY5gQ6BqhXvd6p/6BIMaQCl4gQdEGGfjOUJ2Y8gZkx9Mah3BN/DyUslG97EIluKnDx3MrtK0mamMT8DfNpd0E73mr/FrWr1PY6lkjEU4GLZ7Kys/jn/H/y7KxnqVimIu/c9A53XHYHZuZ1NBFfUIGLJ9Iy0kj4NIElW5dw2yW38a8b/kXNijW9jiXiKypwKVKHsg7x7KxneWX+K8ScFsP4P43n5vo3ex1LxJdU4FJk5qybQ9LEJL7f+T0JjRN45fpXqFq+qtexRHxLBS6Fbt+RfTz++eP8e+G/qVOlDtN7TqfNeW28jiXieypwKVRTVk/h7kl3s3HvRvo17cfzrZ7ntDKneR1LJCqowKVQ7Dy4k4emPcSopaOoX70+8xLmcdW5V3kdSySqqMAlrJxzfLjiQ+777D5+PvwzT7d8mqdaPEXZUmW9jiYSdVTgEjab923mL5/9hU+++4TLz7yc6T2n06hWI69jiUStkAvczEoCC4FNzrkOoUcSv9m8dzO3j7+d2etnU6ZkGV5u8zIPXfUQpUro+kCkMIXj37AHgZXA6WF4LfGRjH0ZPDL9EcYuH0vQBQFYes9SLjzjQo+TiRQPIX1TkJmdA7QHAuGJI36QsS+DPhP6EPtaLGOWjflfeQMqb5EiFOoV+GvAo8BJNyU0s75AX4DY2NgQTydecs7x383/pfN7ndmyf4vXcUSKvQJfgZtZB2Cbc27R7z3POTfMORfvnIuPiYkp6OnEQ7sO7eL1Ba/T6K1GNA00Zfeh3dQ7ox5lS5alTMkyXscTKbZCuQJvBnQysxuBcsDpZjbaOXdHeKKJl4IuyMyfZhJID/Dxyo85kn2E+LPieav9W3Rr0I3K5SqzZf8WBswawPDFw8l22WRmZ3odW6RYMedc6C9idg3w8KlWocTHx7uFCxeGfD4pPJv2bmLE4hEkpyfz0+6fqFKuCj0v60liXOJJlwQeK/L5G+eTfnd6EScWiX5mtsg5F5/7uNZ5CVnZWUxePZlAWoApP0wh6IK0qtuK51s9z80X30z50uV/98/XqliLoe2HFlFaETkmLAXunPsS+DIcryVF5/ud35OclszIJSPZemArZ1Y8k8ebPU5CXALnVzvf63gicgq6Ai9mDmYdZNyKcQTSA8xeN5uSVpIOF3UgqUkS7S5op+EbER/Rv63FRFpGGoG0AGOWjWHvkb2cX/V8BrYeSK9GvTiz0plexxORAlCBR7GfD/3Mu8veJTk9mfQt6ZQrVY4ul3QhMS6Rq2tfrb0nRXxOBR5lnHPMXjebQHqAj1Z8xOGjh2lcqzFv3PAGPRr20A44IlFEBR4lMvZlMHLJSJLTk/lh1w+cXvZ0ejfuTVKTJJqc2cTreCJSCFTgPnY0eJQpq6eQnJ7MpO8nke2yaVm7JU+3fJoul3ShQukKXkcUkUKkAvehH3f9SEp6CsMXDydjfwY1TqtB/6v6kxCXQL3q9byOJyJFRAXuE4ePHmb8yvEE0gLMXDuTElaCGy64gaQmSbS/sD2lS5b2OqKIFDEVeIRbsmUJyenJjF46mp8P/0zdKnUZcO0A7mp8F+ecfo7X8UTEQyrwCLT3yF7GLhtLID3Aws0LKVOyDLfUv4WkuCSurXstJSykr3EXkSihAo8QzjnmbZhHIC3Ahys+5GDWQRrUaMCQdkO4veHtnFHhDK8jikiEUYF7bNuBbbyz5B0CaQFW7VxFxTIVub3h7SQ1SeKKs67QsI2InJQK3APZwWxSf0wlkB5gwqoJHA0e5Y/n/pGUZincdultVCxT0euIIuIDKvAitHb32v8t/9u4dyPVK1TnwaYPkhiXSP2Y+l7HExGfUYEXsiNHj/Dpqk8JpAX4fM3nAFx//vUMbjuYTvU6aUsyESkwFXghWb5tOclpyYxaOoqdh3YSWzmWZ65+ht5xvYmtrM2dRSR0KvAw2ndkH+9/+z7J6cl8vfFrSpcozU0X30RiXCJtzmtDyRIlvY4oIlFEBR4i5xwLNi0gkBbgveXvcSDrAPWr1+fV61+l52U9iTktxuuIIhKlClzgZnYu8A5QE3DAMOfckHAFi3Q7Du5g1JJRBNIDrNi+ggqlK9Dt0m4kNUniynOu1PI/ESl0oVyBHwX6O+fSzKwSsMjMpjvnVoQpW8QJuiCfr/mc5PRkPl75MVnBLJqe3ZRhHYbRtUFXTi97utcRRaQYKXCBO+cygIycn/eZ2UrgbCDqCnzDng0MXzyclPQU1u1ZR7Xy1bj3intJjEukYc2GXscTkWIqLPfAzawOEAcsOMFjfYG+ALGx/ll9kZmdycRVEwmkB5j2wzQcjjbnteGlNi/R+eLOlCtVzuuIIlLMhVzgZlYRGAf0c87tzf24c24YMAwgPj7ehXq+wvbdju9ITktm5JKRbD+4nbMrnc1TLZ4iIS6BulXreh1PROR/QipwMyvNL+U9xjk3PjyRit6BzAN8uOJDAmkB5m2YR6kSpeh4UUeSmiTR9vy2Wv4nIhEplFUoBiQDK51zg8IXqWg451i4eSGBtABjl49lX+Y+LjrjIl5u8zJ3NrqTmhVreh1RROR3hXIF3gzoCSwzs8U5x550zn0WeqzCs+vQLsYsHUMgPcDSrUspX6o8t116G0lxSTSPba7lfyLiG6GsQpkL+KLtgi7Il2u/JJAWYPzK8RzJPsLlZ17Om+3fpHuD7lQuV9nriCIi+RbVk5ib9m5ixOIRpCxOYc3Pa6hSrgp9mvQhsUkijWs19jqeiEhIoq7As7Kz+Gz1ZwTSA3y2+jOCLsg1da7huWue45b6t1C+dHmvI4qIhEXUFPjqnatJTk9mxOIRbD2wlVoVa/FYs8dIiEvggmoXeB1PRCTsfF3gB7MOMm7FOJLTk5m1bhYlrSTtL2pPYlwiN154I6VK+PofT0Tkd/mq4TL2ZTBg9gC++OkLWtdtzZhlY9hzZA/nVz2ff7T6B70a9+KsSmd5HVNEpEj4osAz9mXwty/+xqilozgaPIrDsXb3Wrpc0oWkJkm0rN2SElbC65giIkUqogv82BX322lvczR49NeP9c+gavmqHiUTEfFeRBd4t3HdmLt+LkEX/M1jKm8RKe4i+r7D+13e557L76F8qfLa/FdEJJeILvBaFWsxtP1Q1jy4hqS4JBW5iMhxIrrAj8ld5JqiFBGJ8HvguR0rchER8ckVuIiI/JYKXETEp1TgIiI+pQIXEfEpFbiIiE+Zc0W3UbyZbQfWFfCPVwd2hDGOhIfel8ij9yQyhfK+1HbOxeQ+WKQFHgozW+ici/c6h/ya3pfIo/ckMhXG+6JbKCIiPqUCFxHxKT8V+DCvA8gJ6X2JPHpPIlPY3xff3AMXEZFf89MVuIiIHEcFLiLiUypwyTczq2Nmy73OIeI3ZvZ3M3s4XK+nAhcR8SlfFLiZfWJmi8zsWzPr63UeAaCUmY0xs5Vm9pGZVfA6kICZ3WlmS81siZmN8jqPgJk9ZWbfm9lcoF44X9sXBQ4kOOcuB+KBB8zsDK8DCfWAfzvn6gN7gXs9zlPsmdmlwN+AVs65RsCDHkcq9szscqAb0Bi4EbginK/vlwJ/wMyWAF8D5wIXepxHYINzbl7Oz6OB5l6GEQBaAR8653YAOOd2eZxHoAXwsXPuoHNuLzAhnC8e8Vuqmdk1QBvgKufcQTP7EijnaSgByD1AoIECkSLmhyvwysDPOeV9MXCl14EEgFgzuyrn5x7AXC/DCABfALcdu8VoZtU8ziMwG7jJzMqbWSWgYzhf3A8FPpVfPjBbCbzIL7dRxHurgL/kvC9VgTc9zlPsOee+BV4AZuXcchzkcaRizzmXBrwPLAGmAP8N5+trlF5ExKf8cAUuIiInoAIXEfEpFbiIiE+pwEVEfEoFLiLiUypwERGfUoGLiPjU/wOhWzxb5GzcBAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "VrKZaT1y8j0d",
        "outputId": "75496d42-3610-49e8-a7c8-039ac3c69aa2"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='o')\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "z4x9PSSl8mck",
        "outputId": "834a137a-ce50-49b4-8425-c855a28115fd"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='p') #펜타곤마크\n",
        "plt.show()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "PRcoE2Gi8qoj",
        "outputId": "8c39f183-e14c-4f3e-c7c0-99d96e205a48"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='P')\n",
        "plt.show()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ufg1skBO82W8"
      },
      "source": [
        "##선스타일"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "1kjUqYc481H0",
        "outputId": "d48a6557-82a6-4a4b-cdbf-33d95c76c614"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='P', linestyle=':')\n",
        "plt.show()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAcy0lEQVR4nO3de3xU9Z3/8ddnJiSQBBBMSJD7RaHeAAmoVXC5aKkX3Frtoq1KtVBdEdtK1dU+tK7b7Y31p7/t6oqWahWxaq3ihRbFglVBCQioRUC8IJeEQFDuCZn57B8hqUSQkJnMmTN5Px+PPkJOxpx3Gft+fPqdc77H3B0REQmfSNABRESkaVTgIiIhpQIXEQkpFbiISEipwEVEQiorlScrKCjwnj17pvKUIiKht3jx4s3uXtjweEoLvGfPnpSWlqbylCIioWdmHx/ouJZQRERCSgUuIhJSKnARkZBSgYuIhJQKXEQkpA5Z4GY23cw2mdk7DY5fa2bvmdm7Zvar5osoIhJuxVOLsduN4qnFSf29jZnAHwTGfP6AmY0AzgcGuPtxwNSkphIRySDlO8v3+5oshyxwd38FqGxw+GrgF+5ete81m5KaSkQkA9RN3jnRHAByojlJncSbugZ+DDDMzN4ws/lmNuRgLzSziWZWamalFRUVTTydiEj41E3cVbGq/b4maxJvaoFnAR2BU4AfA4+bmR3ohe4+zd1L3L2ksPALd4KKiGSsorwiAFpFWgHUT+J1xxPV1Fvp1wFPee3jfN40szhQAGjEFpEW7+3yt5mzZg5lU8oAsNtr59uqWBV+W/KegtbUCfxpYASAmR0DZAObkxVKRCTMHljyAHcuvJPK3bUfH9ZN3MmavOvYoZ6JaWYzgX+idsIuB24DHgamAwOBamCKu798qJOVlJS4NrMSkUxVE68hK5JFTbyGTTs3cVTbo5Lye81ssbuXNDx+yCUUd7/4ID/6TsKpREQyxENLH+I3i37DS5e+RPvW7ZNW3l9Gd2KKiCRBUX4RxfnFRCPRlJ1TBS4i0kRxj7O0bCkAY/qOYda4WeRn56fs/CpwEZEm+vnffs7JD5zM6i2rATjI1dTNJqVP5BERySRXD7mawrxC+nbsG8j5NYGLiByGip0V/HTeT4l7nI5tOjJx8MSUT951VOAiIofh6fee5pev/ZK3y98OOoqWUEREGiPucSIWYcLgCYzuPZpeHXoFHUkTuIjIobz+yeuceO+JfPxp7cPh06G8QQUuInJI7XLa0TanbdAxvkAFLiJyEHXr3Md3Op7Xr3idHkf0CDjR/lTgIiIHMGvlLE783xOZvXo2kPprvBtDBS4icgBj+o7hV6N/xajeo4KOclAqcBGRfapj1dwx/w52Vu8kO5rNj0/7MdnR7KBjHZQKXERkn4XrFnL7/Nt5YfULQUdpFF0HLiItXt013sN7DGfFNSs4+sijg47UKJrARaRFW/vZWkqmlbBw3UKA0JQ3qMBFpIXLieYQjUSJxWNBRzlshyxwM5tuZpvM7J0D/Ox6M3MzK2ieeCIizWPl5pW4O0X5Rbz5vTc5rftpQUc6bI2ZwB8ExjQ8aGbdgLOAtUnOJCLSrN7b/B4D7xvIfy34LyA9r/FujEMWuLu/AlQe4Ef/D7gB+PKnIouIpJl+R/bjjhF3cPmAy4OOkpAmrYGb2fnAendfluQ8IiLNwt35nzf/h/Xb1mNmTPnqFArzCoOOlZDDLnAzywVuBm5t5OsnmlmpmZVWVFQc7ulERJJi3bZ13DT3Ju5ZdE/QUZKmKdeB9wF6Acv2rRt1BZaY2VB3L2v4YnefBkwDKCkp0XKLiKSUu2NmdGvfjUUTFnHMkccEHSlpDnsCd/e33b2Tu/d0957AOuCkA5W3iEiQdlTv4JxHz+EP7/wBgP4F/YlY5lw93ZjLCGcCC4B+ZrbOzK5s/lgiIomLWpQ9NXvYtXdX0FGaxSGXUNz94kP8vGfS0oiIJMG6besoyC2gTas2vHTZSxk1dX9eZv63EpEWa0f1Dk797alc/fzVABlb3qDNrEQkw+Rn53Pr8Fs5pespQUdpdipwEckIz616ji5tuzCo8yAmDJ4QdJyUyNz/byEiLUZVTRWTZ0/m1nmNuj0lY2gCF5HQcq+9tSQnK4cXL32RTnmdAk6UWprARSSU4h7n+jnX8x+v/AcAfTr2oW1O24BTpZYmcBEJrS27txD3eP3dli2NClxEQmVH9Q721OyhILeA6WOnE7FIiyxvUIGLSIi4O2NnjmXX3l28fuXrRCPRoCMFSgUuIqFhZlx/6vXUxGsy+gadxlKBi0jae2fTO6z9bC1nH3025xxzTtBx0oYKXETS3pQ5U3i/8n1G9x5NdjQ76DhpQwUuImnvkQseYUf1DpV3A1pEEpG09Lu3fsf4p8cT9zgFuQX0PKJn0JHSjgpcRNLSxh0b2bB9A1U1VUFHSVtWdytqKpSUlHhpaWnKzici4RL3OGU7yjiq7VG4OzGPkRXRSq+ZLXb3kobHNYGLSNq4/i/Xc/IDJ1O5uxIzU3kfgv52RCRtjB84ni7tutChdYego4RCY56JOd3MNpnZO5879msze8/MlpvZn8zsiOaNKSKZavOuzTz69qMADCgewJSvTmmxt8YfrsYsoTwIjGlw7EXgeHc/EVgF/FuSc4lIC/GLV3/B92Z9j/Xb1gcdJXQOWeDu/gpQ2eDYHHev2fftQqBrM2QTkRbgZyN/xqtXvEqXdl2CjhI6yfgQ8wpg9sF+aGYTzazUzEorKiqScDoRCbvX1r7GeTPPY9feXeRk5XBS55OCjhRKCRW4md0C1AAzDvYad5/m7iXuXlJYWJjI6UQkQ2zYvoH3K9+ncnfloV8sB9Xkq1DMbDxwLjDKU3kxuYiEVtmOMorzi7nouIs4v//5ujU+QU2awM1sDHADMNbddyU3kohkogeXPsjR/30072yqvaBN5Z24xlxGOBNYAPQzs3VmdiXwG6At8KKZLTWz/23mnCIScl/r8zUmnDSBY448JugoGUO30otIs6mOVTNj+QzGDxyva7sToFvpRSTlHn37Ua6YdQWvfPxK0FEykm6lF5Fmc/mAy+ndoTfDewwPOkpG0gQuIkm19rO1nPPoOZTtKMPMVN7NSAUuIklVvqOcZWXL+PjTj4OOkvG0hCIiSbF512YKcgsY0mUIayavIScrJ+hIGU8TuIgkbMEnC+h1dy+eW/UcgMo7RVTgIpKwAcUD+M4J32Fol6FBR2lRVOAi0iTuzmPvPEZVTRW5rXK599x76ZTXKehYLYoKXESaZPHGxVz8x4u5f8n9QUdpsfQhpog0SclRJbx06UuM6DUi6CgtliZwEWm0ndU7ufiPF7O8fDkAo3qPImKqkaDob15EGm3rnq0s+GRBfYFLsLSEIiKHVLm7kg6tO9C1XVdWXLOCNq3aBB1J0AQuIoewftt6Trz3RO5ccCeAyjuNqMBF5Et1btuZC4+9kDP7nBl0FGlABS4iB/TimhfZvGszEYtw15i7OLHoxKAjSQMqcBH5gi27tnDB4xdwy9xbgo4iX+KQH2Ka2XRqH168yd2P33esI/AHoCfwEfAtd9/afDFFJJWOzD2S5y95nkHFg4KOIl+iMRP4g8CYBsduAua6+9HA3H3fi0iIxT3ODS/ewAurXwBgeI/htM1pG3Aq+TKHLHB3fwWobHD4fOChfX9+CPjnJOcSkRTbvXc3cz+cy7yP5gUdRRqpqdeBF7n7xn1/LgOKDvZCM5sITATo3r17E08nIs1lZ/VOsqPZ5GXnMX/8fPJa5QUdSRop4Q8xvfax9gd9tL27T3P3EncvKSwsTPR0IpJEVTVVjPr9KK567ioA8rPz9fT4EGnqBF5uZp3dfaOZdQY2JTOUiKRGTlYOY/uN5djCY4OOIk3Q1AKfBVwO/GLf12eSlkhEmt27m94lK5JFv4J+3Dzs5qDjSBMdcgnFzGYCC4B+ZrbOzK6ktrjPNLPVwOh934tICMTiMS584kLGPzOe2hVQCatDTuDufvFBfjQqyVlEJAWikSgzvzmT9jnttd4dctqNUKSFeGjpQ2yv3s6koZMYWDww6DiSBLqVXqQFcHdmrZrFs6ueJe7xoONIkmgCF8lgcY+ze+9u8rLzmHHBDAzTE3QyiN5JkQw28dmJnP3o2VTHqmmd1ZqcrJygI0kSaQIXySDFU4sp31lOUV4RZVPKGNVrFD2P6EmrSKugo0kzUIGLZJDyneX7fb34hINdRCaZQEsoIhmgeGoxdruRE/3HEondbhRPLQ4wlTQ3FbhIBqibuKtiVQc8LplJBS4ScrF4jOxoNkD9BF73tSjvoBuFSgbQGrhIyEUjUW4Zdgud8jpx9fNXA7WTuN+m2+QznSZwkRD66NOPOOPBM1hathSAW8+4latKrqqfuDV5twyawEVCqF1OO7bs2sKG7Rv2uy2+bEpZgKkk1TSBi4RE6YZSrpt9He5OxzYdWX71cs4++uygY0mAVOAiIfHGujd4csWTrNu2DkC3xAuWyv2AS0pKvLS0NGXnEwm7+R/NJ+5xRvQaQdzjbK/aTvvW7YOOJSlmZovdvaThca2Bi6SpWDzGpNmTKMgtYESvEUQsovKW/ajARdLM3A/mMqzHMLKj2fzpX/5E5/zOQUeSNKVFNJE0smTjEkY/PJr7Su8DoG/HvuRl5wWcStJVQgVuZj80s3fN7B0zm2lmrZMVTKSlcHc+3PohACd1PonHL3yciYMnBpxKwqDJBW5mXYDJQIm7Hw9EgXHJCibSUtzxyh0MvG8gG7ZvAOCi4y7Svt3SKImugWcBbcxsL5ALbEg8kkjmc3eqYlW0zmrNt0/4NvnZ+bp7Ug5bkydwd18PTAXWAhuBz9x9TsPXmdlEMys1s9KKioqmJxXJELF4jDEzxjDphUkA9OnYhx+d+iOikWjAySRsEllC6QCcD/QCjgLyzOw7DV/n7tPcvcTdSwoLC5ueVCTk6u65iEaiDOs+jKFdhgacSMIukQ8xRwMfunuFu+8FngK+mpxYIpnlw60fMux3w+o3n/rJ8J/og0pJWCIFvhY4xcxyzcyAUcCK5MQSySztW7dnW9U2ynZosylJnkTWwN8AngSWAG/v+13TkpRLJPQWrV/EpBcm1W8+tfSqpYzpOyboWJJBEroO3N1vc/f+7n68u1/q7lWH/qdEWoZFGxbx9HtPa/MpaTbazEokif764V9xnJG9RhL3ODuqd9Aup13QsSTktJmVSDOLxWNM/vNkCnMLGdlrJBGLqLylWanARRL04poXOaPnGWRHs3n6X56mc1ttPiWpoUU5kQQs2biEsx45i2mLaz+/79OxD7mtcgNOJS2FClzkMLk7ayrXALWbT/3xW3/UNd0SCBW4yGH69/n/zqD7BrF+23oALvjKBWRHswNOJS2R1sBFGiHucapqqmjTqg2XDbiM9q3bU5xfHHQsaeE0gYscQiwe46yHz6rffKpXh1784JQfaPMpCZwmcJGDcHfMjGgkysheI7Xdq6QdTeAiB/DB1g84bfppvLXxLQBuHnYzV550ZcCpRPanAhc5gA6tO7Bz70427dwUdBSRg1KBi+yzcN1Crnn+GtydDm06sPT7S/la368FHUvkoFTgIvu8tfEtnl31LOu3114eWLtLskj60mZW0qK99MFLGMao3qOIe5yd1Ttpm9M26Fgi+9FmViINxOIxfviXH1KUV8So3qOIWETlLaGiApcW5y/v/4URvUaQHc1m1rhZuiFHQktr4NKiLN6wmDEzxtRvPtWrQy/atGoTcCqRpkmowM3sCDN70szeM7MVZnZqsoKJJIu7s3rLagAGHzWYp771FN8f/P2AU4kkLtEJ/G7gz+7eHxiAHmosaein837K4GmD2bB9AwDf+Mo3aBVtFXAqkcQ1eQ3czNoDw4HxAO5eDVQnJ5ZIYuIeZ0/NHnJb5TJ+4HgKcgt0K7xknEQm8F5ABfA7M3vLzB4ws7yGLzKziWZWamalFRUVCZxOpHFi8Rijfz96v82nrj35Wm0+JRknkQLPAk4C7nX3QcBO4KaGL3L3ae5e4u4lhYWFCZxO5MvV3dMQjUQ5q89ZDO8xPOBEIs0rkQJfB6xz9zf2ff8ktYUuknJrKtdwym9PYcnGJQDcdPpNjB84PthQIs2syQXu7mXAJ2bWb9+hUcDfk5JK5DB1bNORvbG9bNm1JegoIimT6I081wIzzCwb+AD4buKRRBpnwScL+P2y33PPOffQoU0HFk9crP1LpEVJqMDdfSnwhfvzRVJhWfkyXnj/BdZvX0/Xdl1V3tLiaDMrCZU5a+ZgGGf2OZO4x9m1dxf52flBxxJpVtrMSkIvFo8xZc4UOuV14sw+ZxKxiMpbWjQVuKS951c9z+jeo8nJymHWxdp8SqSONrOStFa6oZRzZ57L/UvuB6DnET1pndU64FQi6UEFLmnH3Vm5eSUAJUeV8My4Z7iq5KqAU4mkHxW4pJ3b5t1Gyf0lrN9W+2izsf3GkhXRap9IQ/pfhaSFz28+dcWgKyjOL6Zz285BxxJJa5rAJXCxeIyRD43kmheuAWrXuf91yL8SMf3rKfJlNIFLYNwdMyMaifL1vl/XxC1ymDTiSCDer3yfoQ8MZfGGxQDcePqNXDbgsoBTiYSLClwCUZBbgLvz6Z5Pg44iEloqcEmZV9e+yoRZE3B3jmh9BIsmLGJU71FBxxIJLRW4pMy7m97lpQ9fqn82pTafEkmMNrOSZjV79ez6J+TEPc7uvbvJy/7Ck/dE5EtoMytJuVg8xo0v3UhxfjFn9TmLiEVU3iJJpAKXpHJ3nlv1HGf1OYucrByevfhZbT4l0ky0Bi5JtWTjEsY+NrZ+86keR/QgJysn4FQimSnhCdzMokApsN7dz008koRF8dRiyneWU5RXxLzx8+hf0J/BRw3m2YufZUzfMUHHE8l4yZjArwNWJOH3SMiU7yyv/zrk/iH1V5ece8y52nxKJAUSKnAz6wqcAzyQnDgSBsVTi7HbjZxo7dJIdjSbHdU7OOm+kwJOJtKyJDqB3wXcAMQP9gIzm2hmpWZWWlFRkeDpJB3UTd5VsSoAqmPV+x0XkdRocoGb2bnAJndf/GWvc/dp7l7i7iWFhYVNPZ0E7JHljzDphUkAFOUVAZAdyQaon8TrjotIaiSyUHkaMNbMzgZaA+3M7BF3/05yokmQ4h7n1bWvMqz7MMyMNZVrWLRhEXtq9lA2pQwAu732TsqqWBV+W+puCBORWk2ewN3939y9q7v3BMYBL6u8M8fj7z7OGQ+ewd/W/g2AW4bfwhvfe2O/51HWTdyavEWCoUsFBICtu7dy6Z8u5ZITLuGSEy7hvGPOY8YFMxjaZSjAAa8qqZvERSQYSbmRx93n6Rrw8Fm9ZTVzP5gLwBGtj2B79Xb21OwBIC87j0tOuERPgBdJY5rAW5hYPEY0EgXg6uev5uPPPmbVpFWYGfPHzw84nYgcDt1K34LMWD6DHnf1YHvVdgDuHnM3r4x/Rdu6ioSUCjyDba/azj2L7uGjTz8CoG/HvozoNYJtVdsAOK7TcXoOpUiIaQklw7g726u30y6nHZ/u+ZRrZ1/L3therjvlOk7uejIndz056IgikiQq8Azi7gx9YCj9C/rz8Dceplv7bqyctJK+HfsGHU1EmoGWUEJu3kfzuHnuzUDtI8ouPfFSzjn6nPqfq7xFMpcKPIQ+2PoBsXgMgDfXv8n0t6azdfdWACafPJlxx48LMp6IpIgKPGRe/vBl+vz/Psz9sPb67UlDJ/HJDz+hQ5sOAScTkVRTgae5PTV7mDx7MjOWzwDgtG6n8fNRP+eETicAkNsql1bRVkFGFJGA6EPMNLStahsrN69kSJch5ERzWLBuAUe2ORKAnKwcbjr9poATikg6UIGnofFPj2fhuoWs/eFasiJZLLxyYf3dkyIidbSEkgbmfjCXQfcNqv8g8ifDf8Iz454harWlrfIWkQPRBB6AWDzGnDVz6F/Qn14denFk7pHktspl446NdGjTgZM669FkInJomsBTqCZeA8CW3VsY+9hY7l9yPwADiwfy2hWvcWzhsUHGE5GQ0QSeIt9+6tvsje3l8Ysep1NeJ+aPn0/JUSVBxxKRENME3kxWbl7J1Nen1n8/oGgAA4sH1n//1W5fJTuaHUQ0EckQmsCTaEf1DlpntSYrksWcNXO4ee7NfOu4b9G9fXduOO2GoOOJSIbRBJ4ky8qWUTy1mOdXPQ/A+IHjWf+j9XRv3z3gZCKSqZpc4GbWzcz+amZ/N7N3zey6ZAZLd3GPc9fCu3jsnceA2r21rxx0JX069gGgbU5bCvMKg4woIhkukQm8Brje3Y8FTgGuMbOMvowi7nFWb1kNQMQizHh7BrPfnw3UPvT37q/fzfGdjg8yooi0IE1eA3f3jcDGfX/ebmYrgC7A35OULe1c8/w1PPH3J1j/o/XkZOXw8mUv0zanbdCxRKSFSsoauJn1BAYBbxzgZxPNrNTMSisqKpJxupRZXr6ccx89l/Id5QB8d9B3+c3ZvyFitX9tKm8RCVLCBW5m+cAfgR+4+7aGP3f3ae5e4u4lhYXpvyb83ub36p8hmR3NZln5MlZX1i6bDO0ylHHHj9PufyKSFhIqcDNrRW15z3D3p5ITKTjbq7Yz6L5B/Pq1XwPQv6A/H//gY07vfnrAyUREvqjJa+BmZsBvgRXufmfyIqXWrX+9lfcr3+fRbz5K25y2PH7h4wzpMqT+53XLJSIi6SaRdjoNuBQYaWZL9/3n7CTlajaVuyt5aOlDuDsAOdEcWme1Ju5xAM7rdx7F+cVBRhQRaZRErkJ5FbAkZmk2cY/j7kQjUZ5a8RQTnp3AgOLaW9tvGX5L0PFERJok49cH1n62lmP++xie+PsTAIw7fhxLJi7Zb18SEZEwysgCn7VyFk+tqP1MtWu7rgzpMoTC3NorYPKz8xnUeVCQ8UREkiJjNrOq3F1JxzYdAep3AbzgKxcQsQgzvzkzyGgiIs0iIybw//zbf9L77t7s2rsLgJnfnMnLl78ccCoRkeYVigm8eGox5TvLKcoromxKGZ989gm/fO2X3HjajXRr343RvUdjGLF4DIAu7boEnFhEpPmFosDLd5bv97UmXsP0t6YzstdIurXvxtAuQxnaZWiQEUVEUi6tC7xu8s6J5lAVqyJiEex2oyiviE0/3kR+dn7QEUVEApPWa+B1E3dVrAqg/mab8p3lKm8RafHSusCL8oqA2rslP/+17riISEuW1ksoZVPKALDba2/4rIpV4bd5kJFERNJGWk/gdeombk3eIiL/kNYTeJ26SVxERP4hFBO4iIh8kQpcRCSkVOAiIiGlAhcRCSkVuIhISFndo8VScjKzCuDjJv7jBcDmJMaR5ND7kn70nqSnRN6XHu5e2PBgSgs8EWZW6u4lQeeQ/el9ST96T9JTc7wvWkIREQkpFbiISEiFqcCnBR1ADkjvS/rRe5Kekv6+hGYNXERE9hemCVxERD5HBS4iElIqcDlsZtbTzN4JOodI2JjZT81sSrJ+nwpcRCSkQlHgZva0mS02s3fNbGLQeQSALDObYWYrzOxJM8sNOpCAmV1mZsvNbJmZPRx0HgEzu8XMVpnZq0C/ZP7uUBQ4cIW7DwZKgMlmdmTQgYR+wD3u/hVgG/CvAedp8czsOOAnwEh3HwBcF3CkFs/MBgPjgIHA2cCQZP7+sBT4ZDNbBiwEugFHB5xH4BN3f23fnx8BTg8yjAAwEnjC3TcDuHtlwHkEhgF/cvdd7r4NmJXMX572j1Qzs38CRgOnuvsuM5sHtA40lAA0vIFANxSIpFgYJvD2wNZ95d0fOCXoQAJAdzM7dd+fLwFeDTKMAPAycFHdEqOZdQw4j8ArwD+bWRszawucl8xfHoYC/zO1H5itAH5B7TKKBG8lcM2+96UDcG/AeVo8d38X+Bkwf9+S450BR2rx3H0J8AdgGTAbWJTM369b6UVEQioME7iIiByAClxEJKRU4CIiIaUCFxEJKRW4iEhIqcBFREJKBS4iElL/BwQkgl2C59SVAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "ukilUHMR87Vz",
        "outputId": "693e3d18-10dc-47d1-e1d7-8de3bef34a7b"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='P', linestyle='-.')\n",
        "plt.show()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "naHsI3Oq8-K0",
        "outputId": "ee4a2a7b-d67a-42a8-e24b-2923216a5558"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='P', linestyle='dotted')\n",
        "plt.show()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "xpO2MUyu_H58",
        "outputId": "37a79884-288b-4bb6-a62d-3a307b505d8f"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='|', linestyle=':')\n",
        "plt.show()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "S0PGDRYw_LV7",
        "outputId": "e4c23277-d437-43d7-b978-3a2f39003da1"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='d', linestyle=':')\n",
        "plt.show()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0bUQOV019NQE"
      },
      "source": [
        "##옵션 하나로 쓰기\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "bdnf0-bm9Gtt",
        "outputId": "1cf88943-81e8-430b-dfaf-1fbb1a2a3b7f"
      },
      "source": [
        "plt.plot(a3, a2, 'mp--') #마젠타 펜타곤 점선\n",
        "plt.show()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "znoHwG_f_p6H"
      },
      "source": [
        "## color 관련 내용 보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z8VYGHAc_AVC"
      },
      "source": [
        "# https://matplotlib.org/stable/tutorials/colors/colors.html#sphx-glr-tutorials-colors-colors-py"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mUp5LHLCACj7"
      },
      "source": [
        "## matplot 에서 pyplot.plot 검색하면 설명서?가 나옴"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R4zTZwjJ_tsI"
      },
      "source": [
        "# https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html?highlight=pyplot%20plot#matplotlib.pyplot.plot"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O2slQIn2ErUa"
      },
      "source": [
        "##마커 사이즈 바꾸는법"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "3saARvGDEtwB",
        "outputId": "d8ee013f-b22a-43b3-bb28-93aa17e5f4a6"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='d', markersize = 15, linestyle=':')\n",
        "plt.show()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JxEnSfZ4FGhV"
      },
      "source": [
        "## 타이틀 다는법"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "LvxNL1j_E7XJ",
        "outputId": "722f55bd-0259-4684-8f09-ab841119fe30"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='d', markersize = 15, linestyle=':')\n",
        "plt.title('my pic')\n",
        "plt.show()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u3A4agMGFXkB"
      },
      "source": [
        "## 범례 만들기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "0gJcWs6UFLyH",
        "outputId": "b29b363c-4943-4460-f3e4-79920857178a"
      },
      "source": [
        "plt.plot(a3, a2, color='g', marker='d', markersize = 15, linestyle=':')\n",
        "plt.title('my pic')\n",
        "plt.legend('korea')\n",
        "plt.show()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8_o_RBCLFs3r"
      },
      "source": [
        "# 여러개의 그래프 그려보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zL3XrArIFRu9"
      },
      "source": [
        "x = np.arange(1, 11)\n",
        "y1 = x ** 2\n",
        "y2 = x ** 3\n",
        "y3 = x ** 4"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XylZkBMrFoNa",
        "outputId": "ee396e02-67ba-446c-d09c-cc0f91297cbd"
      },
      "source": [
        "x, y1, y2, y3"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10]),\n",
              " array([  1,   4,   9,  16,  25,  36,  49,  64,  81, 100]),\n",
              " array([   1,    8,   27,   64,  125,  216,  343,  512,  729, 1000]),\n",
              " array([    1,    16,    81,   256,   625,  1296,  2401,  4096,  6561,\n",
              "        10000]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "fQ1dR9sFFrMe",
        "outputId": "f05418d9-6997-40bc-bb6a-7ddf0677d8f2"
      },
      "source": [
        "plt.plot(x, y1, color='r', marker='d', markersize = 6, linestyle=':')\n",
        "plt.plot(x, y2, color='g', marker='p', markersize = 7, linestyle='--')\n",
        "plt.plot(x, y3, color='b', marker='^', markersize = 8, linestyle='-')\n",
        "plt.title('my pic')\n",
        "plt.legend(['red', 'green', 'blue'])\n",
        "plt.show()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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wHXClMXluQVaAokxh3br1+TuXW7WCDRsueBivo1NYK+V9evSA6GjYvRvc7gI83xTWRW0m8gOCRMQPCAZigT8Cc53t7wN3OK97O8s4228U24DeG5hljEk1xuwGdmETQ7HZsMF2GJ/rURoTgVLK+6xdC19/DU895X4iuJBCJwNjzAFgArAXmwROAOuB48aYDGe3/UAt53UtYJ/z3gxn/9C86wt4Tz4iMkJEokUkOj4+vrChK6VUiRg7FkJDYdQotyO5sEInAxGphv1VXx/bvFMRuMVDcRXIGPOOMaadMaZdeHj4ufYpzhC8Vnn93Ep5q7VrYdEiWyuoXNntaC6sKM1E3YDdxph4Y0w6MA/oAlR1mo0AagMHnNcHgDoAzvYqQELe9QW855IEBgaSkJBQ7gpGYwwJCQk6LFUpLzJuHFSvDo884nYkF6co1xnsBTqJSDCQAtwIRAPfA32BWcAQIPuu7guc5VXO9qXGGCMiC4CPROTf2BpGI2BtYQKqXbs2+/fvpzw2IQUGBlK7dm23w1BKYTuMFy6EF18sHbUCKEIyMMasEZG5wM9ABrABeAdYCMwSkX8466Y6b5kKfCgiu4CjwN3OcbY6I5G2OccZdaGRROfi7+9P/fr1C/uRlFLKI8aOhWrVSk+tAIowtNRtBQ0tVUopt61fD+3a2euV/vY3t6PJrziHliqllMpj3DhbK/jzn92O5NJoMlBKKQ/5+WdYsACeeAKqVHE7mkujyUAppTxk3DioWhUefdTtSC6dJgOllPKADRtg/vzSWSsATQZKKeUR48bZJFAaawWgyUAppYps0yb4/HN7h8WqVd2OpnA0GSilVBFl1woef9ztSApPk4FSShXB5s0wbx489ljprRWAJgOllCqSceMgJKR01wpAk4FSShXaL7/Ap5/aWkG1am5HUzSaDJRSqpDGjbMT0ZX2WgFoMlBKqULZsgXmzrVDSatXdzuaotNkoJRShRAVZWsFTzzhdiSeoclAKaUu0dat8MkndjK60FC3o/EMTQZKKXWJoqKgYkV48km3I/EcTQZKKXUJtm2DOXPKVq0ANBkopdQliYqC4OCyVSsATQZKKXXRtm+H2bPt7SzDwtyOxrMKfQ9kpZQqL2Jj4e677RDS4GB46im3I/I8TQZKKXUBUVHw009gDDz7LISHux2R52kzkVJKnUdsLEyfbhMBwKBB7sZTXDQZKKXUeURFQWamfe3rC5MnuxtPcdFkoJRS55BdK0hPt8uZmXY5Ls7duIqDJgOllDqHqKjcRJAtM9OuL2s0GSilVAFiY2HatNwmomxpaWWzdqDJQCmlCvDCC5CaWvC2slg70GSglFIF+Oyzc29LS4OVK0sulpKgyUAppc6wbBkcOQIPPWSHlBb02LDB7Sg9S5OBUkrlcfIkDBkCV1wBEya4HU3J0SuQlVIqj8ceg337YMUKO011eVGkmoGIVBWRuSKyQ0S2i0hnEakuIotFJMZ5rubsKyLyuojsEpHNItImz3GGOPvHiMiQon4opZQqjM8+g/feg7/+FTp1cjuaklXUZqLXgK+NMU2AlsB24DlgiTGmEbDEWQboATRyHiOAyQAiUh0YA3QEOgBjshOIUkqVlLg4GDEC2raF5593O5qSV+hkICJVgOuAqQDGmDRjzHGgN/C+s9v7wB3O697AB8ZaDVQVkQjgZmCxMeaoMeYYsBi4pbBxKaXUpTIG7r8fEhPhww/B39/tiEpeUWoG9YF4YLqIbBCRKSJSEahhjIl19okDajivawH78rx/v7PuXOvPIiIjRCRaRKLj4+OLELpSSuV6911YuBBefRWaNnU7GncUJRn4AW2AycaY1kASuU1CABhjDGCKcI58jDHvGGPaGWPahZfFOWSVUiVu1y5717Ju3WDUKLejcU9RksF+YL8xZo2zPBebHA45zT84z4ed7QeAOnneX9tZd671SilVrDIyYPBg2yw0fTr4lOPB9oX+6MaYOGCfiDR2Vt0IbAMWANkjgoYA853XC4DBzqiiTsAJpznpG6C7iFRzOo67O+uUUqpYvfIKrFoFb70FtWu7HY27inqdwZ+BmSISAPwPuA+bYOaIyHDgd6Cfs+8i4FZgF5Ds7Isx5qiIRAHrnP3GGWOOFjEupZQ6r59/tvMP3X033HOP29G4T4zxWJN+iWrXrp2Jjo52OwylVCmUkmKHkJ48CZs323sblwcist4Y066gbXoFslKq3Bk9GrZvh2+/LT+J4ELKcXeJUqo8WrIEXnsN/vxnuOkmt6PxHpoMlFLlxrFjMHQoNGkC48e7HY130WYipVS58cgjdtqJVasgONjtaLyL1gyUUuXC7Nnw0Ufw979DuwK7UMs3TQZKqTLvwAF4+GHo2NF2HquzaTJQSpVpxsCwYfZ+xh9+CH7aOF4g/VqUUmXaW2/ZIaSTJ0OjRm5H4720ZqCUKrN27IBnnoEePeDBB92OxrtpMlBKlUnp6TBoEAQFwdSpIOJ2RN5Nm4mUUmXSiy9CdDTMnQsREW5H4/20ZqCUKnPWroV//MPWDPr0cTua0kGTgVKqTElKgoEDoVYteOMNt6MpPbSZSClVpjz7rL172dKlUKWK29GUHlozUEqVGV9/bYeSPvEE3HCD29GULpoMlFJlQkKCvbiseXPbeawujTYTKaVKPWPgoYfgyBFYtAgCA92OqPTRZKCUKvVmzrRDSF9+GVq1cjua0kmbiZRSpdrevXZq6i5d7NXGqnA0GSilSq2sLHuzmsxM+OAD8PV1O6LSS5uJlFKl1muvwfffw5Qp0KCB29GUblozUEqVSlu32nsT9OplRxGpotFkoJQqddLS7FXGISHw7rs6CZ0naDORUqrUeeEF2LgRPv8cLrvM7WjKBq0ZKKVKlRUr4JVXYPhw6N3b7WjKDk0GSqlS49QpGDwY6tWDiRPdjqZs0WYipVSp8eSTsHs3/PgjVK7sdjRli9YMlFKlwhdf2CGkf/kLdO3qdjRlj9YMlFJeLTYW/vQniImBli1h7Fi3IyqbNBkopbzauHGwejX4+MAPP0BAgNsRlU3aTKSU8lqxsfZm9mCnmggLczeesqzIyUBEfEVkg4h86SzXF5E1IrJLRGaLSICzvoKzvMvZHpnnGKOd9TtF5OaixqSUKhsefxzS0+1rEYiKcjeesswTNYPHgO15ll8BJhpjGgLHgOHO+uHAMWf9RGc/RKQZcDfQHLgFeEtEdLoppcq5pUthzpzc5bQ0mD4d4uLci6ksK1IyEJHawG3AFGdZgD8Cc51d3gfucF73dpZxtt/o7N8bmGWMSTXG7AZ2AR2KEpdSqnTbtAluvfXs9ZmZWjsoLkWtGfwHeBbIcpZDgePGmAxneT9Qy3ldC9gH4Gw/4eyfs76A9+QjIiNEJFpEouPj44sYulLKG23caO9fnJp69jatHRSfQicDEbkdOGyMWe/BeM7LGPOOMaadMaZdeHh4SZ1WKVVCfv4Z/vhHyMgAf/+C99HaQfEoytDSLkAvEbkVCARCgNeAqiLi5/z6rw0ccPY/ANQB9ouIH1AFSMizPlve9yilyon166FbN6hSBSpWhG3bCt4vLQ1WrizZ2MqDQtcMjDGjjTG1jTGR2A7gpcaYAcD3QF9ntyHAfOf1AmcZZ/tSY4xx1t/tjDaqDzQC1hY2LqVU6bNunU0EVavaawm2brU3uT/XY8MGtyMue4rjorO/ALNE5B/ABsAZJcxU4EMR2QUcxSYQjDFbRWQOsA3IAEYZYzKLIS6llBdauxa6d4fq1e1dy+rVczui8knsj/PSp127diY6OtrtMJRSRbB6Ndx8s72Y7IcfoE6dC75FFYGIrDfGtCtom16BrJRyxapVtkYQHg7LlmkicJsmA6VUiVuxwiaCyy+3iaB2bbcjUpoMlFIlavlyuOUWqFnTNg3VKvCqIlXSNBkopUrMjz/aRFCrlk0ENWu6HZHKpslAKVUili2DHj2gbl2bCCIi3I5I5aXJQClV7L7/3s41FBlpX19+udsRqTNpMlBKFaslS+C226B+fZsIatRwOyJVEE0GSqlis3gx3H47NGxoE8Fll7kdkToXTQZKqWLxzTfQsydceaW9N4HOLendNBkopTzu66+hd29o2tQmAr1dpffTZKCU8qhFi2wiaNbM9heEhrodkboYmgyUUh7z5Zdw551w9dXw3Xd28jlVOmgyUEp5xBdfwJ/+BC1a2I5jTQSliyYDpVSRzZ8PffpA69Y2EVSr5nZE6lJpMlBKFclnn0HfvtCmDXz7rb1BjSp9NBkopQrt00+hXz9o394mgipV3I5IFZYmA6VUoXzyCfTvDx062KGkISFuR6SKQpOBUuqSzZ4N99wDnTtrIigrNBkopS7Jxx/DvffCNdfAV19B5cpuR6Q8QZOBUuqizZwJAwfCtdfai8sqVXI7IuUpmgyUUhflww9h8GC4/npYuFATQVmjyUApVaDYWFvwx8XB++/DkCFwww32KuOKFd2OTnman9sBKKW8U1SUvV/xvffaO5PdeKO9uCw42O3IVHHQmoFS6iyxsTB9OmRl2fsQXHcdLFigiaAs02SglDpLVBSkp9vXItC4MQQFuRuTKl6aDJRS+WzZAu+8A5mZdtkY23kcF+duXKp4aTJQSgG20J8xA9q1y00E2TIzbW1BlV2aDJRS7N1rb1o/aBCkpZ29PS3N9iFo7aDs0mSgVDmWlQWTJkHz5rBsGXTpAv7+Be+rtYOyTZOBUuXUjh12lNAjj9ipJbZuhaSkgmsGYNevXFmyMaqSU+hkICJ1ROR7EdkmIltF5DFnfXURWSwiMc5zNWe9iMjrIrJLRDaLSJs8xxri7B8jIkOK/rGUUueSng7/+Ae0bAnbttkLyr7+GiIjYcMG23dwrseGDW5Hr4pLUWoGGcBTxphmQCdglIg0A54DlhhjGgFLnGWAHkAj5zECmAw2eQBjgI5AB2BMdgJRSnlWdLTtIH7+ebjjDti+3U4xIeJ2ZMpthU4GxphYY8zPzutTwHagFtAbeN/Z7X3gDud1b+ADY60GqopIBHAzsNgYc9QYcwxYDNxS2LiUUmdLToann4aOHeHIEfj8czsNdY0abkemvIVHpqMQkUigNbAGqGGMiXU2xQHZ/91qAfvyvG2/s+5c6ws6zwhsrYK6det6InSlyrylS+GBB+B//4MRI+CVV/TWlOpsRe5AFpFKwKfA48aYk3m3GWMMYIp6jjzHe8cY084Y0y48PNxTh1WqTDp+3CaBG28EHx87rcR//6uJQBWsSMlARPyxiWCmMWaes/qQ0/yD83zYWX8AqJPn7bWddedar5QqpM8+g2bNYNo0ePZZ2LzZzjiq1LkUZTSRAFOB7caYf+fZtADIHhE0BJifZ/1gZ1RRJ+CE05z0DdBdRKo5HcfdnXVKqUsUFwd33QV/+hNcdhmsXWubhXReIXUhRekz6AIMAn4RkY3Ouv8DxgNzRGQ48DvQz9m2CLgV2AUkA/cBGGOOikgUsM7Zb5wx5mgR4lKq3DHGDhF98knbWfzSS7bD+FwXkCl1JrHN+qVPu3btTHR0tNthKOW63bvhwQdh8WLo2hWmTLGzjCp1JhFZb4xpV9A2vQJZqVIqMxMmToSrroJVq+y0EsuWaSJQhaN3OlOqFNqyBe6/H9assRPMTZ4Mdepc+H1KnYvWDJQqRVJTYcwYaNMGfvsNZs6EL77QRKCKTmsGSpUSq1fD8OF2PqEBA2wTkV5uozxFawZKeZnYWLj++tx7ByQmwuOP25lFT52ChQvtTWg0EShP0mSglJeJioLly+3zt9/aDuLXXoORI+0007fe6naEqizSoaVKeZHYWGjQAE6fBl9fO2KocWM7XLRrV7ejU6Xd+YaWap+BUl5kzBh7vwGwiaBtW1tLCAx0Ny5V9mkzkVJeYOtWO6Pou+/mvxn9tm12wjmlipsmA6VckphoJ5K75hrbLzBlip1dNC+977AqKZoMlCpBxsC6dXb6iJo17VDR48dt81CFCvYG9XmlpcH06bkji5QqLpoMlCoBx47Bm29C69bQoQN8+CH06QMrVtgmosOHz04E2bR2oAAyszKZsHICYa+G8a+V/yIzK/PCb7oE2oGsVDExBn780Tb/zJ1rRwi1bWunjrjnHqhSJXffVatsLXrBcvQAABb9SURBVKAgaWmwcmXJxKy8U0xCDP3m9iMmIYak9CTG/DCGmb/MZHbf2TQKbeSRc+jQUqU87NAhO530lCkQE2ML/QED7FxCrVu7HZ0qbdIz0wn/ZzgnU09i8tw40kd8qBZYjSPPHrnoY+nQUqWKWWamvUBsyhRYsAAyMux1AX/7G/TtC8HBbkeovN2xlGNsP7KdHUd2sD1+O13rdqV3k97sP7mfE6knzto/y2RRs3JNj51fk4FSRbB3rx0RNG0a7Ntnp4h4/HHbMdykidvRKW9jjGH/yf1sP7KdIL8grq13LRlZGdSdWJfYxNic/Sr4ViDYP5jeTXpTr2o9el7Zk4UxC8kyuR1LvuLLbY1u81hsmgyUukRpaXam0ClT4BvnBq3du8O//w29ekFAgLvxKfelZaYRnxRPrZBaADz21WOs2LeCHUd2kJSeBECPhj24tt61+Pn4MbDFQMKDw2ka3pSmYU2JrBqJr48vYJuDHu34KMt+X8bJ1JM556gYUJFuDbp5LGZNBkpdpF9/tQng/fft6J/ateH55+G++yAy0u3oVHHJzMpk4uqJjF8+ntFdR/N4p8dzCupsC39dyE97f8pp5vnt6G80C2/G5oc3A3A4+TChwaHc3+Z+moQ1oWlYU5qGN815/6s3vXreGDrX7oyv5D+nr/jSuU5nD31K7UBWKkdsLNx9N8yeDZdfbtelpMCnn9org3/80c4X1LMnPPAA3HyzXVZlV/Yonl+P/EpyRjIBvgGEBIRwRfUrOJl6kq0jtyIiDJw3kDlb59AotBFNw5rSJKwJLWq0oF/zfhc+SQnSDmSlLkLe2UKzp4aYMQNOnIArroCXX4ahQ3MThSo7jqYcZcvhLew5voc9x/ew+/hu9hzfw+ZDmzl++nhOW31aZhpHUo5w/OBxBrQYQGpmKoF+gbzR4w2m956Ov6+/y5+k8LRmoBT5ZwsVsdcIVKhgLwx74AG47rqzp4pQpcep1FNsObwlp5DffWw3e07s4a1b36JRaCPeWvcWoxaNytm/ZuWa1K9anyPJR9iZsPOs41192dU5TUClidYMlDpDWhps2mTvIbxmjR0Oevq03WaMHRY6fz5Ur+5unOXdxbTXA6Skp/DL4V9yC3rn1/3frvsbXet25Yc9P9BrVq+c/WtUrEFk1UhOpZ0C4PYrb6dh9YbUr1qfOlXqEOhnp4l97rvnmLByApkm92pfT4/i8RaaDFSZZwzs2ZNb8K9ZAz//bO8nDHDZZXbSuLzWrz/3FcGqZJx51e3z3z/PpHWT6NesH0npSew+vpv7Wt1Hn2Z92Jmwk45TOua8NzQolMiqkSSl2ZE7net0ZtG9i4isGkm9qvUI9s9/4UfdKnWpW6XuWTF0a9CNydGTi3UUj7fQZKDKnBMn7GRweQv/w4fttqAgOyXEI49Ax47QqRO89JK9TiBv4Z89H9CkSe58hvIiIysDPx8/skwWs7fM5uCpg8QmxhKbGMucrXPIzMrMueo2JSOF3cd388rKVwipEEL9qvVJyUgB4MrQK5l/93wiq0YSWTWSkAoh+c4TFhxGj0Y9Ljm+khjF4y20z0CVahkZsGVLbqG/ejXs2GFrA2Av/OrYMfdx9dXgn6ePL29fwZmCguB//yufHcYX2zxTEGMMJ1JPEHsqFoOhWXgzAP665K/8duy33AL/VCx9mvXh/TvexxhDxZcqkpKRQqBfIBGVIjiUeIjkjOSzjt8srBlbR2316OctL7TPQHm1goZ0nsv+/fl/8UdHQ7JTXoSG2l/699xjC/727aFatfMfLyrqwrOFlrfawbkmRZvVZxahwaHEJsbaAv1ULH4+fgxoMQCAQZ8NYuW+lRw8dZDTGTa7/rH+H1kyeAkAi3YtIjEtkYhKEbSNaEtEowiuqXMNACLC5oc3ExYcRpUKVRCRc7bX92rcC+V5mgyU6/IO6cxb8CYl2cI+b+F/4IDdFhBgJ327//7cX/0NGtiRQJeiPM8WmmWyOJV6iiqBdvrU9QfXsy1+Gw8tfIiU9JSc5pmk9CQ2HdrEVZOvIj0rPd8xGlVvlJMMLgu+jE61OxFRKYKalWsSUSmChtUb5uy74cEN540n775QvtrrvYEmA+Wq2Fh785asLJg6FRo2tM08a9bAL7/k/mpv0ACuvz634G/Vyg79LKoN5y+fSlxRmmeOnz7OvhP7SEhJ4GjKURKSE0hISeCZa57B18eXyesmM+OXGTnrj6Ucw0d8SP1bKiLCpHWTmL5xeoHHzjJZ1Kpci6c6P0VE5YjcAr9yRM4+/7r5Xx75DrKVp/Z6b6B9BuXYpTTPFEVWFsTHw8GDuY8DB+zzN9/YCd7y/jesUsXeAKZTJ1vwd+hgJ4ArTkUphD0lJiGGuz65i5ijMSSnJxPoF0jNyjWZe9dcWke0Zvne5Xz8y8ckpNjCPLtQXzlsJbVCahG1LIq///D3s44b/0w8YcFhTFo7iXk75hEaFGofwfb50Y6P4uvjy94Te0nNSOXNdW8yae2ks5pnnrnmGV7u9nJJfiXeY+tW6N/f/rE0b15q4zhfn4Emg3Js5Ej473/hoYcK1y5ujL1lY0GFfN5HbKzt6M1LxLbxJyTkTwQVKthO25qem5n3gnLayON3kpSZQkXfIK4Mb3LJNw5JSbejXU6lnuJk6klOpdnnGyJvILJqJFsPb+XNtW/mrM9+nnzbZDrU6kDllyuTmJZ41nGrVKjC8eeOM33DdJ5e/HS+gjw0OJTxN44nonIEWw9vZVv8tnzbQoNCCfIPuqTv47v/fUefOX3yNc+EVAhhXr953Njgxks6lke4XRAnJUGzZvZXS926Np6KFUtlHNqBnEfsDzu5+7aTzF4UwuXXNy63cew/kMm7U7PIyvLn3Slp/N9ffalVM/eXcFLS+Qv47EdKytnHrlbNFuY1a9rRPDVrQq1auetq1rQ1kcceg6lTDWlpuQ39xhhefFGKrdM2PTOdlIwUUtJTSE5PJiUjha7TunIi9UTOlANJmSlsjNtIq/+24rGOj3FLw1u4rt51/H78d4YtGGYL8jwF/hs93mBoq6FsjNvINdOuOeucs/rMIrJqJEeSjzB3+1xCKoTkPCIqReDnY/8MIypFEHM05qz31w6pDcB9re/jvtb3nfOzNb+sOc0vK3ph6VXNM0lJcOuttgC87TZ3CuJhw+zYZGPsnYuGD4dZs0o2hhKIw2uSgYjcArwG+AJTjDHjPX2OzFMn6TP4J1Yl30efwdP5cUsEvpVDLvzGUhZHVpYdKpmcnPtIScl9vSvuIM+++DsZ6fYHQnq6Dw1a76VtkxocOxzMwYNw8uTZxw0Ozi3UO3Q4u4DPfgRdxA/RgwcN06Yb0tLyz/GQliZMmZpB9/vWE1ztJCkZKYQHh+cURG+seYMTqSdISU/JKdQ71u7I0FZDMcbQfUZ3W8jn2T6k5RDG/mEsSWlJVHq50lmxhAeH55snHsBgSE5P5p8r/0l4cDjX1bsOPx8/UjNSCQsOo0G1BoQE2AK9SZi9cUHjsMbM6jOLyhUq5xT2lQMqc3kl2wZ3feT1xD8Tf87v5E9N/8SE5a+QmacT3NdAzyt7XvgL9aCKARU5+vNNuZdlBwZC7+7gXwx36DEmt9c/Pd0O4Qq0V/+SmAiDB+cvAAcMgM8/t9sPHLD/2evUscu7dtnnhk5H9C+/2JkEm9mhraxZY4/dsqVd/v57qFwZ2jk/lL/8EsLCbPsk2JrIxo2wcGHu2OPTp+385dOm2T+Sq66Cbk6H9rhx9r3du9vlp56y23r0sFXjUaPsHOe33WaPc//9tp329tvtZx040BbwPXvC0aO2NvToo3Z54kR779TsTrS8cQwb5pF/Cq9IBiLiC0wCbgL2A+tEZIExZpunzhGTEMOdY3qyNXYD4MvKg/fSanRr5o39stD3EDXGPrKy7P/hrKzcx5nL2et+S9jN/ROGE3NwkY3jwEAaDrmfv/YfT2hAbU4mZnDyVAZJyVkkJxuSnAKc9CBOn/bh+KlUTiRmkJIMp1OElBQhJcWHrLQAkpOFpOQsUk9faBKdms4j+4P4kXa4HmsDNtKp+eWENj9IcNgJKlY7TlC1BGrUSGfsnaOoXBkm/vQKGw9tIk2y+F9WOjtSU6gVEMHb104F4P65g1l/eCPpZJGWmUZ6eiotwpoxf/BXAHR4qzUbEraQseA1SB8GBJ4VXVpGBnc8HA23PwLAnfVuYd5Q+/6xS/9OQtpxfMWXIP8gggkgMCUNWg1FRMg4dpSgwCCqh9QiyC+IoIQTNM6y40sDfSsQVWcIQeERBF1ehyCfCgRv+5XFe5byXlY8mXm+Nt8seKLSTbxaZxgS1haAWr5VWe43Ajp0hkaNbGEwZw40CAWgegr0X3YEbm4LdRvajpL3Ztg/5oYNbVXqgw/grrvszHd798J779lCoEEDuq09wuRUOJnnK6mYCt2iE6AbsHkzvPMOPPecnT973TrbzjdunM3CK1bA22/DhAlQowYsXWpvuDx5si3kFi2yrz/8EKpWhXnz7PJnn0GlSvDRR/b9AwYUXAAOGGAv6ti0ya5/5RV7rC1b7PKYMfb72L7dLj/9tE0ov/5qlx96CJYssfcCBRg0yA7X+u03u5x9/G3On/2119rPfK4CcPBgO+Trp5/s9qFDbTvjEjuUleHDbVvkV/b/DiNGQP36uclk5Eh74cmcOXb50UehS5fcZPD003DkyNkXoSQnw+jR9hL2oUNzk8Err9irGbOTwdSptprco4dNeAsW2KrybbfZgmP1ajvpFdjl3bvz/wpLTs5tX33ppbPHQGfHUZaSAdAB2GWM+R+AiMwCegMeSwad32pNwupXIcMZgpIRyJZ313DlzGP4Zf5O1YBqBFQIITUlmWOnE0H8wPhgjECmDxV8AkH8ycjIICMTwAdMYWYuqw8szV3MDGTPZzN44LPsFX7k/2fJAv8UqocYKlWEpOQ4EvwSwD859xGcwuDr+hJSyZ9V6z9kfcDu/Nv9Uvh88McEB8Nr0+9h4cY7YWdvyMozHMc3jSo1N1Or2R3MqbIvZ7V/klB3iz8Th9hJvDbNeYPlwfH4143E38efgN17CUoMgDttMqi+cCl1Kp3G/9rrCfANwP/rxTTK2gWD7fHuXXqYbuH1mX78TuIyz04E2d/JFUmDeO++lgT16kNY+8ow1G7aPcmPwNvvx//td+2KqlVhSCW4yy5+/9x2+wvsn/90PpcvjG4PN4Ivwt+Gvw9jx8LfR9rqUrtgQpsF8kmvMwrhNLjlozXIxsXw5pu28D92DIYMsdOZNmpkC/sHHrA3OGjUyP5yfeQRW3Vv2ND+cn3ySXuzg4YN7UUSo0dDixY2Gfz+uy1Ar7kGGjSg88S5+A7P/1X4Guj870/guXfs+2fNggcftMkgLs4WdM88Y3eOj7eFa3bb3bFjtmBNd4aDJifbhJRdwKSn22aY7ELGxwf8/OxNGpKS8geSnGx/Od90U+66evXsxRzZmjbNv71Dh/x3+rnxRtvWne2OO+zl4Nnuvdd+hmy7d59dAGZl5RaAo0fn3/7SS/lnE3z99fxXGE6fnlvrAPtLO2819ttv89+fdNUqmyhHj87/fQQHw/jx9le9X56/1TO/s+PHc1/7+trOs2xBQbk1GbA1lOwkC3ZSrBUrcpdfecUmq4Li8BCv6EAWkb7ALcaY+53lQUBHY8wjZ+w3AhgBULdu3ba///77RZ+jyfDa7PwgBjLy/ONLBn6N5lHHD5rXa8PltRpyIn4Pm3YvR8Kr4xPoj6SeRo4epm3T67m8VkPi921jw28/4FMzAgnyxyclETkcR5d2d1CjZiQHfl3Lhl0/IA0i8Qn0w+fkcSTuAN3+OIzQ8FqMnvEUR1e8DFl5/kh8T1P71n58GbWAmJ8+YNMvn1KhVzeCKvtQ4bdt+G3bxqBx86kYFMLGuW/wy9ov8R00BF/xxXfDRny276DXPz7Bz8ePHXPeYu+W5fgOHY6vjy++K1bi+9turvm7LTzXvf0hnUf1JTPr7LYcP59kdr79NTXSfifgoUfw8/FD5s2z/6mHO6XUp5/agmHQILs8d66t8vTvn7vdxwfuvNMuz5tnf63d5kzslf0r9KabeK53RSa0Sj7rF/kz6yvw8pfOr7Evv7S/crMLna++gogIO7YU7B9wrVq5HYtLlthmgyuvtMvLltkCqH59++tr5Uq7XKeOLUiio0lavpQ6h0dzLM9XUi0F9l8xieCuf7AdHNWq2UL099/t0KaQELscF2f/cIOD7fLRo3ZbYKD9XhIT7TZ/f3u+1FRbQPr65lYtRexj2rSC/+DffNPeQaekaBz59e9/RpNZb3f6DDwQx/k6kDHGuP4A+mL7CbKXBwFvnu89bdu2NZei1TVfGHxTTO5foDH4ppjWXb64pOMUldtxPPywMX6+6fnP7zz8fNPNyJElEoYxxpjFk54yIc9heCH3EfIc5ru3ni65ILL162dMYKD9IgIDjenfv+Rj0Di8M47ERGPq1jVGxJh69eyyGzwQBxBtzlUOn2tDST6AzsA3eZZHA6PP955LSQYHDxoTUCGjwAIwIDDDxMZewrdZBN4QR6tWZ58776NVq+KPIVtiaqKp9jf/fMmg2vMBJiktqeSCyAmm7PzBaxzFYMsWY5o3t89uKmIcpSEZ+AH/wzaoBwCbgObne8+lJIOHHzYmICCr4EI4IKvEfg17SxzGGO/5I/OWOIwpM3/wGoc6l/MlA6/oQDbGZIjII8A32KGl04wxHpuW0M4/U/CkNWlpUmLzz3hLHIAdq71oUe7FPG5cRONNcYDtd8geGeMmjcM74yjjvKIDuTD0CmSllLo05+tA1ru6KqWU0mSglFJKk4FSSik0GSillKIUdyCLSDxw8Zcge6cw4IjbQXgJ/S7y0+8jP/0+chXlu6hnjCnw7iClNhmUBSISfa6e/fJGv4v89PvIT7+PXMX1XWgzkVJKKU0GSimlNBm47R23A/Ai+l3kp99Hfvp95CqW70L7DJRSSmnNQCmllCYDpZRSaDIocSJSR0S+F5FtIrJVRB5zOyZvICK+IrJBRL50OxY3iUhVEZkrIjtEZLuIdHY7JjeJyBPO38kWEflYRM5xr9SySUSmichhEdmSZ111EVksIjHOczVPnEuTQcnLAJ4yxjQDOgGjRKSZyzF5g8eA7W4H4QVeA742xjQBWlKOvxMRqQU8CrQzxlyFnd7+bnejKnHvAbecse45YIkxphGwxFkuMk0GJcwYE2uM+dl5fQr7x17L3ajcJSK1gduAKW7H4iYRqQJcB0wFMMakGWOOn/9dZZ4fECQifkAwcNDleEqUMeZH4OgZq3sD7zuv3wfu8MS5NBm4SEQigdbAGncjcd1/gGeBLLcDcVl9IB6Y7jSZTRERF+/24y5jzAFgArAXiAVOGGO+dTcqr1DDGBPrvI4DanjioJoMXCIilYBPgceNMSfdjsctInI7cNgYs97tWLyAH9AGmGyMaQ0k4aEmgNLIaQvvjU2SNYGKIjLQ3ai8i3MrS49cH6DJwAUi4o9NBDONMfPcjsdlXYBeIrIHmAX8UURmuBuSa/YD+40x2TXFudjkUF51A3YbY+KNMenAPOAal2PyBodEJALAeT7siYNqMihhIiLYNuHtxph/ux2P24wxo40xtY0xkdjOwaXGmHL5688YEwfsE5HGzqobgW0uhuS2vUAnEQl2/m5upBx3qOexABjivB4CzPfEQTUZlLwuwCDsL+CNzuNWt4NSXuPPwEwR2Qy0Al5yOR7XODWkucDPwC/Y8qpcTUshIh8Dq4DGIrJfRIYD44GbRCQGW3sa75Fz6XQUSimltGaglFJKk4FSSilNBkoppdBkoJRSCk0GSiml0GSglFIKTQZKKaWA/wcSlQhPsy6CbwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q4YiALtvHTzx"
      },
      "source": [
        "## 그리드 추가하기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "dTSbe3HwHfKh",
        "outputId": "6364a49e-5271-4878-c097-c405dfd62427"
      },
      "source": [
        "plt.plot(x, y1, color='r', marker='d', markersize = 6, linestyle=':')\n",
        "plt.plot(x, y2, color='g', marker='p', markersize = 7, linestyle='--')\n",
        "plt.plot(x, y3, color='b', marker='^', markersize = 8, linestyle='-')\n",
        "\n",
        "plt.title('my pic')\n",
        "plt.grid(which = 'major', axis='both', color='m', alpha=0.7)\n",
        "# alpha는 0.0 부터 1.0사이\n",
        "plt.legend(['red', 'green', 'blue'])\n",
        "plt.show()"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XvPBZEP2IoAZ"
      },
      "source": [
        "## BAR 그래프 그리기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "HF-lunCfH3zW",
        "outputId": "c0965d23-52fc-4be6-b132-ee2bc5751689"
      },
      "source": [
        "plt.bar(a1, a2)\n",
        "plt.show()"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "IntFP5FpIiuK",
        "outputId": "d0a8b7fb-662c-4810-8bdb-e0fb333767d9"
      },
      "source": [
        "plt.bar(a1, [10, 11, 12, 13])\n",
        "plt.show()\n",
        "# a1의 갯수와 두번째 그룹의 갯수가 맞아야 그래프 그려짐"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "feke73RTJkaD"
      },
      "source": [
        "# ss csv 파일 읽어와서 실습하기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GoL-gi8SI0SQ"
      },
      "source": [
        "score = pd.read_csv('/content/drive/MyDrive/csv 파일/ss2.csv', header = None, encoding='cp949')\n",
        "# score로 이름 지정해주자. utf8이라고 에러뜨면 cp949 쓰기"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FhXsRCfLJnS7"
      },
      "source": [
        "d = score.copy()\n",
        "# d는 dataframe이어서 d라고 이름 지었음"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "7V-WDgJoKDW-",
        "outputId": "92d61bff-adb9-44d5-bd46-5685d2c3deb9"
      },
      "source": [
        "d"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>이순신</td>\n",
              "      <td>85</td>\n",
              "      <td>87</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>강감찬</td>\n",
              "      <td>75</td>\n",
              "      <td>80</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>한석봉</td>\n",
              "      <td>99</td>\n",
              "      <td>98</td>\n",
              "      <td>99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>황진이</td>\n",
              "      <td>35</td>\n",
              "      <td>45</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>안중근</td>\n",
              "      <td>90</td>\n",
              "      <td>85</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>박문수</td>\n",
              "      <td>95</td>\n",
              "      <td>98</td>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>임꺽정</td>\n",
              "      <td>15</td>\n",
              "      <td>35</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>김정호</td>\n",
              "      <td>90</td>\n",
              "      <td>95</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>정몽주</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>양주종</td>\n",
              "      <td>50</td>\n",
              "      <td>45</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     0   1   2   3\n",
              "0  이순신  85  87  90\n",
              "1  강감찬  75  80  95\n",
              "2  한석봉  99  98  99\n",
              "3  황진이  35  45  20\n",
              "4  안중근  90  85  90\n",
              "5  박문수  95  98  96\n",
              "6  임꺽정  15  35  45\n",
              "7  김정호  90  95  80\n",
              "8  정몽주  90  90  95\n",
              "9  양주종  50  45  60"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9DshZcSKKIYf",
        "outputId": "39a89a10-9c48-4a38-baa3-4aa71e1a93ae"
      },
      "source": [
        "d.shape"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10, 4)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gw52xyOwKapk",
        "outputId": "311fedec-1762-4436-c4b3-2158405b148f"
      },
      "source": [
        "d.ndim"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eJN_oJH9Kj07",
        "outputId": "b1a89fbd-55c2-4f2c-eed8-9b92d559934d"
      },
      "source": [
        "d.index"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RangeIndex(start=0, stop=10, step=1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z4oWemH4Kk5I",
        "outputId": "8a2ed507-60f5-4244-8e96-89dfac3fdf17"
      },
      "source": [
        "d.columns"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Int64Index([0, 1, 2, 3], dtype='int64')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q_Ye6RFnKv_o"
      },
      "source": [
        "## 자료의 통계자료 보는법"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "HualI16wKlN0",
        "outputId": "f1d0e061-8682-4e8c-ae83-74eac96bd4aa"
      },
      "source": [
        "d.describe()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>72.400000</td>\n",
              "      <td>75.800000</td>\n",
              "      <td>77.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>28.883675</td>\n",
              "      <td>24.371203</td>\n",
              "      <td>26.670833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>15.000000</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>20.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>56.250000</td>\n",
              "      <td>53.750000</td>\n",
              "      <td>65.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>87.500000</td>\n",
              "      <td>86.000000</td>\n",
              "      <td>90.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>90.000000</td>\n",
              "      <td>93.750000</td>\n",
              "      <td>95.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>99.000000</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>99.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               1          2          3\n",
              "count  10.000000  10.000000  10.000000\n",
              "mean   72.400000  75.800000  77.000000\n",
              "std    28.883675  24.371203  26.670833\n",
              "min    15.000000  35.000000  20.000000\n",
              "25%    56.250000  53.750000  65.000000\n",
              "50%    87.500000  86.000000  90.000000\n",
              "75%    90.000000  93.750000  95.000000\n",
              "max    99.000000  98.000000  99.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KozDfzNPK9O_"
      },
      "source": [
        "## 컬럼 이름 변경"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4YxadERQKt7d"
      },
      "source": [
        "d.columns = ['이름', '국어', '영어', '수학']"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "S6JFBACeK7o-",
        "outputId": "735fea6d-ead1-4b1a-cc06-5415e80b9357"
      },
      "source": [
        "d"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>이름</th>\n",
              "      <th>국어</th>\n",
              "      <th>영어</th>\n",
              "      <th>수학</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>이순신</td>\n",
              "      <td>85</td>\n",
              "      <td>87</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>강감찬</td>\n",
              "      <td>75</td>\n",
              "      <td>80</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>한석봉</td>\n",
              "      <td>99</td>\n",
              "      <td>98</td>\n",
              "      <td>99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>황진이</td>\n",
              "      <td>35</td>\n",
              "      <td>45</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>안중근</td>\n",
              "      <td>90</td>\n",
              "      <td>85</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>박문수</td>\n",
              "      <td>95</td>\n",
              "      <td>98</td>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>임꺽정</td>\n",
              "      <td>15</td>\n",
              "      <td>35</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>김정호</td>\n",
              "      <td>90</td>\n",
              "      <td>95</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>정몽주</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>양주종</td>\n",
              "      <td>50</td>\n",
              "      <td>45</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    이름  국어  영어  수학\n",
              "0  이순신  85  87  90\n",
              "1  강감찬  75  80  95\n",
              "2  한석봉  99  98  99\n",
              "3  황진이  35  45  20\n",
              "4  안중근  90  85  90\n",
              "5  박문수  95  98  96\n",
              "6  임꺽정  15  35  45\n",
              "7  김정호  90  95  80\n",
              "8  정몽주  90  90  95\n",
              "9  양주종  50  45  60"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zWsy4Ng6K8MO"
      },
      "source": [
        "d1 = d['이름']\n",
        "d2 = d['국어']"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rmlRxi-DLHVS",
        "outputId": "85a45a63-fe2c-455a-803f-4c7230c7f19e"
      },
      "source": [
        "d1"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    이순신\n",
              "1    강감찬\n",
              "2    한석봉\n",
              "3    황진이\n",
              "4    안중근\n",
              "5    박문수\n",
              "6    임꺽정\n",
              "7    김정호\n",
              "8    정몽주\n",
              "9    양주종\n",
              "Name: 이름, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R2s7FeSKLIHr",
        "outputId": "4ea2c617-aab5-4ebf-ef3c-f2e4f9eae6f7"
      },
      "source": [
        "d2"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    85\n",
              "1    75\n",
              "2    99\n",
              "3    35\n",
              "4    90\n",
              "5    95\n",
              "6    15\n",
              "7    90\n",
              "8    90\n",
              "9    50\n",
              "Name: 국어, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ToDsWRBYLdEA"
      },
      "source": [
        "## 그래프로 점수보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eI0Gn9wTLIuo"
      },
      "source": [
        "# plt.bar(d1, d2)\n",
        "# plt.show()"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tCHY4SCHLWIR"
      },
      "source": [
        "# %hist\n",
        "# %붙는건 매직명령어라고 함"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zLA1FFIJMLyW"
      },
      "source": [
        "#!apt list\n",
        "# 리눅스에서 프로그램 설치\n",
        "#!apt-get update -qq"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lpwo_ukpM8GW"
      },
      "source": [
        "# 한글 안깨지게 변경하는법\n",
        "## 나눔고딕 글씨체를 설치한뒤 실행"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6StBMPa-MXB5",
        "outputId": "718332fe-95ef-45c6-8259-ebefb8d9be49"
      },
      "source": [
        "%matplotlib inline  \n",
        "\n",
        "import matplotlib as mpl \n",
        "import matplotlib.pyplot as plt \n",
        "import matplotlib.font_manager as fm  \n",
        "\n",
        "!apt-get update -qq\n",
        "!apt-get install fonts-nanum* -qq\n",
        "\n",
        "path = '/usr/share/fonts/truetype/nanum/NanumBarunGothic.ttf' \n",
        "font_name = fm.FontProperties(fname=path, size=10).get_name()\n",
        "print(font_name)\n",
        "plt.rc('font', family=font_name)\n",
        "\n",
        "fm._rebuild()\n",
        "mpl.rcParams['axes.unicode_minus'] = False"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "NanumBarunGothic\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Io6oBQVKQAAM"
      },
      "source": [
        "# 오른쪽 클릭으로 저장하면 그래프 해상도가 떨어진다!!\n",
        "## dpi 조절해서 높힐수 있다"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "5yYEHKy4M3O4",
        "outputId": "d26ed75f-2bbb-43ba-e9b4-a88abc6f914b"
      },
      "source": [
        "plt.bar(d1, d2)\n",
        "plt.show()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zg4_SIv9TziD"
      },
      "source": [
        "# 4개의 그래프 동시에 그리기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_sR4d4QUNXyc"
      },
      "source": [
        "a1 = np.array([1, 2, 3, 4])\n",
        "a2 = np.array([1, 4, 9, 16])"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "6ktErAEkTLgm",
        "outputId": "ba966f7a-fa3d-443f-d269-9638a41418d5"
      },
      "source": [
        "plt.figure(0)\n",
        "plt.subplot(2, 2, 1) # 2행 2열짜리 행렬 자료의 첫번쨰\n",
        "plt.plot([1, 2, 3, 4]) # 1234를 넣겠다?\n",
        "\n",
        "plt.subplot(2, 2, 2) # 2행 2열의 두번쨰에\n",
        "\n",
        "plt.plot([1, 2, 7, 15]) # 127,15를 넣겠다\n",
        "\n",
        "plt.subplot(2, 2, 3)\n",
        "plt.plot([1, 7, 3, 2])\n",
        "\n",
        "plt.subplot(2, 2, 4)\n",
        "plt.plot([20, 10, 5, 1])\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H7Yui3BzUCg5"
      },
      "source": [
        "# bar 그래프 옆으로 만들기\n",
        "## 타이틀 입력하고 라벨도 만들기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "URi6D_ZLTuaR",
        "outputId": "8becf59a-4f72-41eb-9e9a-3d4ea6fd8c21"
      },
      "source": [
        "x1 = ['A', 'B', 'C']\n",
        "y1 = [80, 40 ,20]\n",
        "\n",
        "plt.subplot(121) #1행 2열의 첫번째\n",
        "plt.title('좋아요')\n",
        "plt.xlabel('사진')\n",
        "plt.ylabel('like수')\n",
        "\n",
        "plt.bar(x1, y1)\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('유튜브')\n",
        "plt.xlabel('구독자')\n",
        "plt.ylabel('bj이름')\n",
        "\n",
        "plt.barh(x1, y1) # vertical이 수직, horizental 수평(가로)\n",
        "\n",
        "plt.suptitle('전체타이틀')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DyeTR-4Oams-"
      },
      "source": [
        "## 파이형태 그래프 그리기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "nOFJjIDTUdsl",
        "outputId": "55f0e773-f6da-4608-9aa6-89e273fe9278"
      },
      "source": [
        "color = ['green', 'yellow', 'red', 'cyan']\n",
        "hobby = ['여행', '독서', '자전거', '게임']\n",
        "\n",
        "numbers = [20, 5, 7, 18]\n",
        "\n",
        "plt.figure(figsize=(6,7))\n",
        "\n",
        "plt.pie(numbers, labels=hobby, colors=color, pctdistance=0.7, autopct='%.2f%%')\n",
        "\n",
        "plt.axis('equal')\n",
        "plt.title('취미비율')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q7pcdCJocntt"
      },
      "source": [
        "# 랜덤으로 숫자 뽑아서 해보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A9n329FmaWW3"
      },
      "source": [
        "np.random.seed(100)\n",
        "\n",
        "d = np.random.randint(1, 100, (3, 6))\n",
        "x = np.arange(6)"
      ],
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "stvCbmZrcBsk",
        "outputId": "9c19ecc9-1d9a-4337-c2b7-70845790f827"
      },
      "source": [
        "d"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 9, 25, 68, 88, 80, 49],\n",
              "       [11, 95, 53, 99, 54, 67],\n",
              "       [99, 15, 35, 25, 16, 61]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oyKQfsmhcC6K",
        "outputId": "c6a11b42-b4c6-40e8-eef0-7a5b2da3842f"
      },
      "source": [
        "x"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3, 4, 5])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cjzjAtd2cebC",
        "outputId": "d816b9b7-c014-46ca-a05d-4d3a40a648d0"
      },
      "source": [
        "range(len(d))"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "range(0, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "godYBcOOcgLr",
        "outputId": "c68f6a77-33dd-459d-c7e2-50208e7ec2ea"
      },
      "source": [
        "list('gby')"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['g', 'b', 'y']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xmjzANyQcirN"
      },
      "source": [
        "k = list('abcd')"
      ],
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IJz8B6MGclct",
        "outputId": "0ce720f6-164d-4380-9ca4-dd2c9de5e501"
      },
      "source": [
        "k"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['a', 'b', 'c', 'd']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ni2cPnwfeA5K"
      },
      "source": [
        "# 과일 판매량 그래프 그려보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "SU2HIwlNcmWJ",
        "outputId": "5c20e64d-71b0-4700-b748-fe66c9b82cb3"
      },
      "source": [
        "np.random.seed(100)\n",
        "\n",
        "d = np.random.randint(1, 100, (3, 6))\n",
        "x = np.arange(6)\n",
        "\n",
        "for i, c in zip(range(len(d)), list('gby')) :\n",
        "    plt.bar(x + i*0.2, d[i], width=0.2)\n",
        "\n",
        "plt.title('상반기 과일 판매량')\n",
        "\n",
        "plt.legend(labels=['사과', '배', '망고'])\n",
        "plt.xticks(x+0.2, labels=['1월', '2월', '3월', '4월', '5월', '6월'])\n",
        "plt.yticks(np.arange(0, 100, 10))\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sCRQ6dudeIfh"
      },
      "source": [
        "# 이미지 넣기\n",
        "## matplotlib > example > 소스코드 복붙 > 실행"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "l6un07ZDd3i0",
        "outputId": "98037dcd-63b1-4a94-d883-b49afdc0a72e"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.patches as patches\n",
        "import matplotlib.cbook as cbook\n",
        "\n",
        "\n",
        "with cbook.get_sample_data('grace_hopper.jpg') as image_file:\n",
        "    image = plt.imread(image_file)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "im = ax.imshow(image)\n",
        "patch = patches.Circle((260, 200), radius=200, transform=ax.transData)\n",
        "im.set_clip_path(patch)\n",
        "\n",
        "ax.axis('off')\n",
        "plt.show()"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yny7Z71hfJBt"
      },
      "source": [
        "# What's New 0.99 Mplot3d"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "-uvrdfJ8ecgb",
        "outputId": "74387e48-c81d-4420-cebe-a8ff4b1592a8"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import cm\n",
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "\n",
        "X = np.arange(-5, 5, 0.25)\n",
        "Y = np.arange(-5, 5, 0.25)\n",
        "X, Y = np.meshgrid(X, Y)\n",
        "R = np.sqrt(X**2 + Y**2)\n",
        "Z = np.sin(R)\n",
        "\n",
        "fig = plt.figure()\n",
        "ax = Axes3D(fig, auto_add_to_figure=False)\n",
        "fig.add_axes(ax)\n",
        "ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.viridis)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-102-b1b3387106fb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAxes3D\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauto_add_to_figure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_surface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mY\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mZ\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrstride\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcstride\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mviridis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, fig, rect, azim, elev, zscale, sharez, proj_type, *args, **kwargs)\u001b[0m\n\u001b[1;32m     99\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_adjustable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'datalim'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrect\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mframeon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0;31m# Disable drawing of axes by base class\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_axis_off\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, fig, rect, facecolor, frameon, sharex, sharey, label, xscale, yscale, **kwargs)\u001b[0m\n\u001b[1;32m    466\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_yscale\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0myscale\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    467\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 468\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    469\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    470\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxaxis\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, props)\u001b[0m\n\u001b[1;32m   1004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1005\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meventson\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1006\u001b[0;31m             \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0m_update_property\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1007\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1008\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mret\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   1004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1005\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meventson\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1006\u001b[0;31m             \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0m_update_property\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1007\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1008\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mret\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36m_update_property\u001b[0;34m(self, k, v)\u001b[0m\n\u001b[1;32m   1000\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcallable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1001\u001b[0m                     raise AttributeError('{!r} object has no property {!r}'\n\u001b[0;32m-> 1002\u001b[0;31m                                          .format(type(self).__name__, k))\n\u001b[0m\u001b[1;32m   1003\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: 'Axes3D' object has no property 'auto_add_to_figure'"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kmnQZjYSfaQ_"
      },
      "source": [
        "# Zoom Window"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 543
        },
        "id": "RfFUVsJPfbG_",
        "outputId": "3f6ff00b-677f-4c65-ffbf-ab7c3d75c8a7"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "\n",
        "# Fixing random state for reproducibility\n",
        "np.random.seed(19680801)\n",
        "\n",
        "figsrc, axsrc = plt.subplots()\n",
        "figzoom, axzoom = plt.subplots()\n",
        "axsrc.set(xlim=(0, 1), ylim=(0, 1), autoscale_on=False,\n",
        "          title='Click to zoom')\n",
        "axzoom.set(xlim=(0.45, 0.55), ylim=(0.4, 0.6), autoscale_on=False,\n",
        "           title='Zoom window')\n",
        "\n",
        "x, y, s, c = np.random.rand(4, 200)\n",
        "s *= 200\n",
        "\n",
        "axsrc.scatter(x, y, s, c)\n",
        "axzoom.scatter(x, y, s, c)\n",
        "\n",
        "\n",
        "def on_press(event):\n",
        "    if event.button != 1:\n",
        "        return\n",
        "    x, y = event.xdata, event.ydata\n",
        "    axzoom.set_xlim(x - 0.1, x + 0.1)\n",
        "    axzoom.set_ylim(y - 0.1, y + 0.1)\n",
        "    figzoom.canvas.draw()\n",
        "\n",
        "figsrc.canvas.mpl_connect('button_press_event', on_press)\n",
        "plt.show()"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MKWIoEEGfdtk"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}