kiwamizamurai/ecdf.ipynb

## ecdf.ipynb
{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "ecdf.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNA/XAgZ8WfWmOGUJSE0/6P",
      "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/gist/kiwamizamurai/1beb09211a0b474b4b49c2fd4c05c4f7/ecdf.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "puChwWPEOB9Y"
      },
      "outputs": [],
      "source": [
        "!pip install watermark 1>/dev/null 2>/dev/null"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "from sklearn import datasets\n",
        "\n",
        "plt.rcParams[\"figure.figsize\"] = (24, 12)\n",
        "plt.rcParams[\"font.size\"] = 24\n",
        "\n",
        "%load_ext watermark\n",
        "%watermark -n -u -v -iv -w"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7ei21rR8OOJc",
        "outputId": "db717c7b-56ce-4bf0-ab8f-dcde2541dbff"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Last updated: Sun Jul 03 2022\n",
            "\n",
            "Python implementation: CPython\n",
            "Python version       : 3.7.13\n",
            "IPython version      : 5.5.0\n",
            "\n",
            "IPython   : 5.5.0\n",
            "matplotlib: 3.2.2\n",
            "numpy     : 1.21.6\n",
            "pandas    : 1.3.5\n",
            "sklearn   : 0.0\n",
            "\n",
            "Watermark: 2.3.1\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_pred = pd.DataFrame(np.random.normal(loc=0.07, scale=0.08, size=50), columns=['prob'])\n",
        "df_pred['label'] = '1'\n",
        "df_pred0 = pd.DataFrame(np.random.normal(loc=0.6, scale=0.5, size=50), columns=['prob'])\n",
        "df_pred0['label'] = '0'\n",
        "df = pd.concat([df_pred, df_pred0], 0)\n",
        "df.sample(3)\n",
        "\n",
        "df['prob'] = (df['prob'] - min(df['prob']))/(max(df['prob']) - min(df['prob']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8ioS0oBnTPG4",
        "outputId": "165e3af2-d8bb-4fff-8ff3-15e622226a29"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  \"\"\"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = df['prob']\n",
        "\n",
        "plt.subplot(121)\n",
        "plt.title('Histgram (default parameter)')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('Frequency')\n",
        "plt.hist(data)\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('eCDF')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('CDF')\n",
        "x = np.sort(data)\n",
        "y = np.arange(len(x))/float(len(x))\n",
        "plt.plot(x, y, marker='o', markersize=4)\n",
        "plt.hlines(y=0.25, xmin=min(x), xmax=max(x), colors='pink', linestyles='--', lw=2, label='25%')\n",
        "plt.hlines(y=0.50, xmin=min(x), xmax=max(x), colors='pink', linestyles='--', lw=2, label='50%')\n",
        "plt.hlines(y=0.75, xmin=min(x), xmax=max(x), colors='pink', linestyles='--', lw=2, label='75%')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 788
        },
        "id": "0X4_NklnPL96",
        "outputId": "78cd080a-edc4-4d3b-edab-ddc7e9042fae"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fde36c87a10>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1728x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_pred = pd.DataFrame(np.random.normal(loc=0.07, scale=0.08, size=50), columns=['prob'])\n",
        "df_pred['label'] = '1'\n",
        "df_pred0 = pd.DataFrame(np.random.normal(loc=0.6, scale=0.5, size=50), columns=['prob'])\n",
        "df_pred0['label'] = '0'\n",
        "df = pd.concat([df_pred, df_pred0], 0)\n",
        "df.sample(3)\n",
        "\n",
        "df['prob'] = (df['prob'] - min(df['prob']))/(max(df['prob']) - min(df['prob']))\n",
        "df_norm = pd.DataFrame(np.random.normal(loc=np.mean(df['prob']), scale=np.std(df['prob']), size=100), columns=['norm'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K4iYYnmQfqE7",
        "outputId": "766155a6-1309-41e1-cf10-936a3ebb231a"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  \"\"\"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_norm['norm']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6r5pC9-WmTMy",
        "outputId": "e1da8d00-bb81-4309-f830-dca0a411be49"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     0.474697\n",
              "1     0.825706\n",
              "2     0.460729\n",
              "3     0.608224\n",
              "4     0.319885\n",
              "        ...   \n",
              "95    0.430085\n",
              "96    0.416837\n",
              "97    0.470892\n",
              "98    0.474350\n",
              "99    0.506912\n",
              "Name: norm, Length: 100, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.subplot(121)\n",
        "plt.title('Histgram')\n",
        "mi, ma = min(min(df['prob']), min(df_norm['norm'])), max(max(df['prob']), max(df_norm['norm']))\n",
        "data = df['prob']\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('Frequency')\n",
        "plt.hist(data, alpha=0.4, range=(mi,ma))\n",
        "data = df_norm['norm']\n",
        "plt.hist(data, alpha=0.4, range=(mi,ma))\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('eCDF')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('CDF')\n",
        "data = df['prob']\n",
        "x = np.sort(data)\n",
        "y = np.arange(len(x))/float(len(x))\n",
        "plt.plot(x, y, marker='o', markersize=4, label='some data')\n",
        "\n",
        "data = df_norm['norm']\n",
        "x = np.sort(data)\n",
        "y = np.arange(len(x))/float(len(x))\n",
        "plt.plot(x, y, marker='x', markersize=4, label='norm data')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 788
        },
        "id": "cqJeSiT6fsri",
        "outputId": "fe59536b-8121-4d5f-e2fc-b5d5e67d1ac8"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fde365f4d50>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1728x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_mens = pd.DataFrame(np.random.normal(loc=170.0, scale=7.0, size=50), columns=['height'])\n",
        "df_mens['sex'] = 'male'\n",
        "df_womens = pd.DataFrame(np.random.normal(loc=157.0, scale=6.0, size=50), columns=['height'])\n",
        "df_womens['sex'] = 'female'\n",
        "df_singekinokyojin = pd.DataFrame(np.random.normal(loc=201.0, scale=6.0, size=5), columns=['height'])\n",
        "df_singekinokyojin['sex'] = 'singekinokyojin'\n",
        "df = pd.concat([df_mens, df_womens, df_singekinokyojin], 0)\n",
        "df.sample(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "id": "dIkR7DQJZVO6",
        "outputId": "ffb7ff68-bffe-4cda-da71-cf075d87afe4"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:7: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  import sys\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        height   sex\n",
              "18  169.850361  male\n",
              "27  162.039355  male\n",
              "37  173.262080  male"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3c67ada8-8c18-4511-8869-85e1916c5a33\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>height</th>\n",
              "      <th>sex</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>169.850361</td>\n",
              "      <td>male</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>162.039355</td>\n",
              "      <td>male</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>173.262080</td>\n",
              "      <td>male</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3c67ada8-8c18-4511-8869-85e1916c5a33')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3c67ada8-8c18-4511-8869-85e1916c5a33 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3c67ada8-8c18-4511-8869-85e1916c5a33');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = df['height']\n",
        "\n",
        "plt.subplot(121)\n",
        "plt.title('Histgram (default parameter)')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('Frequency')\n",
        "plt.hist(data)\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('eCDF')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('CDF')\n",
        "x = np.sort(data)\n",
        "y = np.arange(len(x))/float(len(x))\n",
        "plt.plot(x, y, marker='o', markersize=4)\n",
        "plt.plot(x[len(x)-1], y[len(x)-1], marker='x', markersize=12, color='red')\n",
        "plt.plot(x[len(x)-2], y[len(x)-2], marker='x', markersize=12, color='red')\n",
        "plt.plot(x[len(x)-3], y[len(x)-3], marker='x', markersize=12, color='red')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 788
        },
        "id": "5tpHRkahaFXg",
        "outputId": "8423d5ea-9010-4879-cfde-128ea9482242"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fde36959ed0>]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1728x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_mens = pd.DataFrame(np.random.normal(loc=180.0, scale=5.0, size=50), columns=['height'])\n",
        "df_mens['sex'] = 'male'\n",
        "df_womens = pd.DataFrame(np.random.normal(loc=163.0, scale=3.0, size=50), columns=['height'])\n",
        "df_womens['sex'] = 'female'\n",
        "df_singekinokyojin = pd.DataFrame(np.random.normal(loc=195.0, scale=6.0, size=5), columns=['height'])\n",
        "df_singekinokyojin['sex'] = 'singekinokyojin'\n",
        "df = pd.concat([df_mens, df_womens, df_singekinokyojin], 0)\n",
        "df.sample(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "id": "5mSTN2csaH4C",
        "outputId": "27554368-27e3-401b-c9ca-4e7d5f1a6ffb"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:7: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  import sys\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        height     sex\n",
              "29  162.939972  female\n",
              "9   167.317294  female\n",
              "30  181.294759    male"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2d48c181-6bdf-4175-9316-cd3f680361db\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>height</th>\n",
              "      <th>sex</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>162.939972</td>\n",
              "      <td>female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>167.317294</td>\n",
              "      <td>female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>181.294759</td>\n",
              "      <td>male</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2d48c181-6bdf-4175-9316-cd3f680361db')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2d48c181-6bdf-4175-9316-cd3f680361db button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2d48c181-6bdf-4175-9316-cd3f680361db');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = df['height']\n",
        "\n",
        "plt.subplot(121)\n",
        "plt.title('Histgram (default parameter)')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('Frequency')\n",
        "plt.hist(data)\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('eCDF')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('CDF')\n",
        "x = np.sort(data)\n",
        "y = np.arange(len(x))/float(len(x))\n",
        "plt.plot(x, y, marker='o', markersize=4)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 788
        },
        "id": "-D3kURdha0D_",
        "outputId": "b1e4e6fb-a360-4cfc-f755-b1c07b27aec4"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fde35fd5c50>]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1728x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_2020 = pd.DataFrame(np.random.normal(loc=152.0, scale=8.0, size=50), columns=['income'])\n",
        "df_2020['year'] = '2020'\n",
        "df_2021 = pd.DataFrame(np.random.normal(loc=173.0, scale=6.0, size=50), columns=['income'])\n",
        "df_2021['year'] = '2021'\n",
        "df_2022 = pd.DataFrame(np.random.normal(loc=185.0, scale=3.0, size=50), columns=['income'])\n",
        "df_2022['year'] = '2022'\n",
        "df = pd.concat([df_2020, df_2021, df_2022], 0)\n",
        "df.sample(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "id": "Eq0gWkBka1by",
        "outputId": "baaa4732-2044-4f9b-bcd2-eb6fc1836029"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:7: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  import sys\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        income  year\n",
              "33  153.463408  2020\n",
              "27  169.369367  2021\n",
              "14  184.927056  2022"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-29f4f7eb-186a-49c0-a68b-ae36c47f42de\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>income</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>153.463408</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>169.369367</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>184.927056</td>\n",
              "      <td>2022</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-29f4f7eb-186a-49c0-a68b-ae36c47f42de')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-29f4f7eb-186a-49c0-a68b-ae36c47f42de button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-29f4f7eb-186a-49c0-a68b-ae36c47f42de');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "colors = matplotlib.cm.tab20(range(10))\n",
        "markers = matplotlib.lines.Line2D.markers.keys()\n",
        "\n",
        "plt.subplot(121)\n",
        "plt.title('Histgram')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('Frequency')\n",
        "for i, (year, df_group) in enumerate(df.groupby('year')):\n",
        "  data = df_group['income']\n",
        "  plt.hist(data, label=year, color=colors[i], range=(min(df['income']), max(df['income'])), alpha=0.5)\n",
        "  plt.legend()\n",
        "\n",
        "plt.subplot(122)\n",
        "plt.title('eCDF')\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('CDF')\n",
        "for i, (year, df_group) in enumerate(df.groupby('year')):\n",
        "  data = df_group['income']\n",
        "  x = np.sort(data)\n",
        "  y = np.arange(len(x))/float(len(x))\n",
        "  plt.plot(x, y, marker=list(markers)[i+2], markersize=6, label=year, c=colors[i], alpha=0.5)\n",
        "  plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 770
        },
        "id": "fn6jq6pubmMf",
        "outputId": "bc5ae3b4-9cab-4fe6-9b51-f5ee753fa0e9"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1728x864 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Reference\n",
        "\n",
        "https://stackoverflow.com/questions/61908021/how-to-get-n-easily-distinguishable-colors-with-matplotlib"
      ],
      "metadata": {
        "id": "FSDPxl5kppKk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "QW_-Vp9gFR0e"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}