{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Domain market Example"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Packages to load"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "import ratingslib.ratings as rl\n",
                "import pandas as pd\n",
                "from ratingslib.datasets.filenames import FILENAME_DOMAIN_NAMES, dataset_path\n",
                "from ratingslib.utils import logmsg\n",
                "from ratingslib.utils.logmsg import set_logger\n",
                "from ratingslib.utils.methods import print_pandas"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Set precision to 4 digits"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "pd.set_option('float_format', \"{:.4f}\".format)\n"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Set logger to show extra information during computations"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": [
                "set_logger(logmsg.EXAMPLE)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Get the filename and add columns dictionary"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [],
            "source": [
                "filename_dn = dataset_path(FILENAME_DOMAIN_NAMES)\n",
                "COLUMNS_DOMAIN_DICT = {\n",
                "    'item_i': 'DomainNameI',\n",
                "    'item_j': 'DomainNameJ',\n",
                "    'points_i': 'TrendsI',\n",
                "    'points_j': 'TrendsJ',\n",
                "}"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Winloss ratings"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "EXAMPLE: Winloss[normalization=False]\n",
                        "Rating method for filename: \n",
                        "c:\\ratingslib\\datasets\\examples\\domainMarketExample.csv\n",
                        "MATRIX: \n",
                        "W\n",
                        "[2. 0. 4. 1. 3.]\n"
                    ]
                },
                {
                    "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>Item</th>\n",
                            "      <th>rating</th>\n",
                            "      <th>ranking</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>authorization.com</td>\n",
                            "      <td>2.0000</td>\n",
                            "      <td>3</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>desirous.com</td>\n",
                            "      <td>0.0000</td>\n",
                            "      <td>5</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>jean.com</td>\n",
                            "      <td>4.0000</td>\n",
                            "      <td>1</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>peaked.com</td>\n",
                            "      <td>1.0000</td>\n",
                            "      <td>4</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>true.com</td>\n",
                            "      <td>3.0000</td>\n",
                            "      <td>2</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                Item  rating  ranking\n",
                            "0  authorization.com  2.0000        3\n",
                            "1       desirous.com  0.0000        5\n",
                            "2           jean.com  4.0000        1\n",
                            "3         peaked.com  1.0000        4\n",
                            "4           true.com  3.0000        2"
                        ]
                    },
                    "execution_count": 5,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "rl.Winloss(normalization=False).rate_from_file(filename_dn,\n",
                "                                                      columns_dict=COLUMNS_DOMAIN_DICT)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Colley ratings"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "EXAMPLE: Colley\n",
                        "Rating method for filename: \n",
                        "c:\\ratingslib\\datasets\\examples\\domainMarketExample.csv\n",
                        "MATRIX: \n",
                        "C\n",
                        "[[ 6. -1. -1. -1. -1.]\n",
                        " [-1.  6. -1. -1. -1.]\n",
                        " [-1. -1.  6. -1. -1.]\n",
                        " [-1. -1. -1.  6. -1.]\n",
                        " [-1. -1. -1. -1.  6.]]\n",
                        "MATRIX: \n",
                        "b\n",
                        "[ 1. -1.  3.  0.  2.]\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
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                            "\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>Item</th>\n",
                            "      <th>rating</th>\n",
                            "      <th>ranking</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>authorization.com</td>\n",
                            "      <td>0.5000</td>\n",
                            "      <td>3</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>desirous.com</td>\n",
                            "      <td>0.2143</td>\n",
                            "      <td>5</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>jean.com</td>\n",
                            "      <td>0.7857</td>\n",
                            "      <td>1</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>peaked.com</td>\n",
                            "      <td>0.3571</td>\n",
                            "      <td>4</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>true.com</td>\n",
                            "      <td>0.6429</td>\n",
                            "      <td>2</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                Item  rating  ranking\n",
                            "0  authorization.com  0.5000        3\n",
                            "1       desirous.com  0.2143        5\n",
                            "2           jean.com  0.7857        1\n",
                            "3         peaked.com  0.3571        4\n",
                            "4           true.com  0.6429        2"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "rl.Colley().rate_from_file(filename_dn,\n",
                "                        columns_dict=COLUMNS_DOMAIN_DICT)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Massey ratings"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "EXAMPLE: Massey[data_limit=0]\n",
                        "Rating method for filename: \n",
                        "c:\\ratingslib\\datasets\\examples\\domainMarketExample.csv\n",
                        "MATRIX: \n",
                        "Massey adjusted\n",
                        "[[ 4. -1. -1. -1. -1.]\n",
                        " [-1.  4. -1. -1. -1.]\n",
                        " [-1. -1.  4. -1. -1.]\n",
                        " [-1. -1. -1.  4. -1.]\n",
                        " [ 1.  1.  1.  1.  1.]]\n",
                        "MATRIX: \n",
                        "d adjusted\n",
                        "[  26. -313.  263. -189.    0.]\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
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                            "\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>Item</th>\n",
                            "      <th>rating</th>\n",
                            "      <th>ranking</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>authorization.com</td>\n",
                            "      <td>5.2000</td>\n",
                            "      <td>3</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>desirous.com</td>\n",
                            "      <td>-62.6000</td>\n",
                            "      <td>5</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>jean.com</td>\n",
                            "      <td>52.6000</td>\n",
                            "      <td>1</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>peaked.com</td>\n",
                            "      <td>-37.8000</td>\n",
                            "      <td>4</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>true.com</td>\n",
                            "      <td>42.6000</td>\n",
                            "      <td>2</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                Item   rating  ranking\n",
                            "0  authorization.com   5.2000        3\n",
                            "1       desirous.com -62.6000        5\n",
                            "2           jean.com  52.6000        1\n",
                            "3         peaked.com -37.8000        4\n",
                            "4           true.com  42.6000        2"
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "rl.Massey().rate_from_file(filename_dn,\n",
                "                                 columns_dict=COLUMNS_DOMAIN_DICT)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Offesne Defense ratings"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "EXAMPLE: OffenseDefense[tol=0.0001]\n",
                        "Rating method for filename: \n",
                        "c:\\ratingslib\\datasets\\examples\\domainMarketExample.csv\n",
                        "MATRIX: \n",
                        "od A\n",
                        "[[ 0.  1. 88.  5. 73.]\n",
                        " [93.  0. 88. 80. 73.]\n",
                        " [ 4.  0.  0.  0. 73.]\n",
                        " [93. 20. 88.  0. 73.]\n",
                        " [ 3.  0. 76.  0.  0.]]\n",
                        "INFO: iterations: 16 error: 7.715371838667995e-05 tol: 0.0001000 \n",
                        "MATRIX: \n",
                        "Offensive vector\n",
                        "[105.48   7.23 900.54  32.97 703.57]\n",
                        "MATRIX: \n",
                        "Defensive vector\n",
                        "[0.49 3.51 0.14 3.85 0.11]\n"
                    ]
                },
                {
                    "data": {
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                            "\n",
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                            "        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>Item</th>\n",
                            "      <th>rating</th>\n",
                            "      <th>ranking</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>authorization.com</td>\n",
                            "      <td>214.6477</td>\n",
                            "      <td>3</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>desirous.com</td>\n",
                            "      <td>2.0604</td>\n",
                            "      <td>5</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>jean.com</td>\n",
                            "      <td>6356.2606</td>\n",
                            "      <td>1</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>peaked.com</td>\n",
                            "      <td>8.5660</td>\n",
                            "      <td>4</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>true.com</td>\n",
                            "      <td>6235.3988</td>\n",
                            "      <td>2</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                Item    rating  ranking\n",
                            "0  authorization.com  214.6477        3\n",
                            "1       desirous.com    2.0604        5\n",
                            "2           jean.com 6356.2606        1\n",
                            "3         peaked.com    8.5660        4\n",
                            "4           true.com 6235.3988        2"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "rl.OffenseDefense().rate_from_file(filename_dn,\n",
                "                                columns_dict=COLUMNS_DOMAIN_DICT)"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
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