{
    "cells": [
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Metocean multi-model comparison\n",
                "\n",
                "In this example, two metocean wave models \"SW_1\" and \"SW_2\" are compared to three observations: two points and one track. "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "import numpy as np\n",
                "import modelskill as ms"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Define observations"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "fldr = '../tests/testdata/SW/'\n",
                "o1 = ms.PointObservation(fldr + 'HKNA_Hm0.dfs0', item=0, x=4.2420, y=52.6887, name=\"HKNA\")\n",
                "o2 = ms.PointObservation(fldr + \"eur_Hm0.dfs0\", item=0, x=3.2760, y=51.9990, name=\"EPL\")\n",
                "o3 = ms.TrackObservation(fldr + \"Alti_c2_Dutch.dfs0\", item=3, name=\"c2\")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Define models"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": [
                "mr1 = ms.model_result(fldr + 'HKZN_local_2017_DutchCoast.dfsu', name='SW_1', item=0)\n",
                "mr2 = ms.model_result(fldr + 'HKZN_local_2017_DutchCoast_v2.dfsu', name='SW_2', item=0)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Get spatial and temporal overview"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "ms.plotting.spatial_overview(obs=[o1, o2, o3], mod=[mr1, mr2]);"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 700x225 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "ms.plotting.temporal_coverage(obs=[o1, o2, o3], mod=[mr1, mr2]);"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Compare "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [],
            "source": [
                "cc = ms.match(obs=[o1, o2, o3], mod=[mr1, mr2])    # returns a collection of comparisons"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "<Comparer>\n",
                            "Quantity: Significant wave height [meter]\n",
                            "Observation: EPL, n_points=67\n",
                            " Model: SW_1, rmse=0.224\n",
                            " Model: SW_2, rmse=0.232"
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc[\"EPL\"]   # select a single comparer from the collection like this"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Perform analysis\n",
                "You can perform simple filtering on specific `observation` or specific `model`. You can refer to observations and models using their _name_ or _index_. \n",
                "\n",
                "The main analysis methods are:\n",
                "* skill()\n",
                "* mean_skill()\n",
                "* scatter()\n",
                "* taylor()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "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></th>\n",
                            "      <th>n</th>\n",
                            "      <th>bias</th>\n",
                            "      <th>rmse</th>\n",
                            "      <th>urmse</th>\n",
                            "      <th>mae</th>\n",
                            "      <th>cc</th>\n",
                            "      <th>si</th>\n",
                            "      <th>r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>model</th>\n",
                            "      <th>observation</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th rowspan=\"3\" valign=\"top\">SW_1</th>\n",
                            "      <th>EPL</th>\n",
                            "      <td>67</td>\n",
                            "      <td>-0.066597</td>\n",
                            "      <td>0.223597</td>\n",
                            "      <td>0.213449</td>\n",
                            "      <td>0.188513</td>\n",
                            "      <td>0.969846</td>\n",
                            "      <td>0.082522</td>\n",
                            "      <td>0.932596</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>HKNA</th>\n",
                            "      <td>386</td>\n",
                            "      <td>-0.194260</td>\n",
                            "      <td>0.351964</td>\n",
                            "      <td>0.293499</td>\n",
                            "      <td>0.251839</td>\n",
                            "      <td>0.971194</td>\n",
                            "      <td>0.094489</td>\n",
                            "      <td>0.905300</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>c2</th>\n",
                            "      <td>113</td>\n",
                            "      <td>-0.001210</td>\n",
                            "      <td>0.351797</td>\n",
                            "      <td>0.351794</td>\n",
                            "      <td>0.294585</td>\n",
                            "      <td>0.974335</td>\n",
                            "      <td>0.127776</td>\n",
                            "      <td>0.899507</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th rowspan=\"3\" valign=\"top\">SW_2</th>\n",
                            "      <th>EPL</th>\n",
                            "      <td>67</td>\n",
                            "      <td>-0.000199</td>\n",
                            "      <td>0.232479</td>\n",
                            "      <td>0.232479</td>\n",
                            "      <td>0.198294</td>\n",
                            "      <td>0.969846</td>\n",
                            "      <td>0.089879</td>\n",
                            "      <td>0.927134</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>HKNA</th>\n",
                            "      <td>386</td>\n",
                            "      <td>-0.100426</td>\n",
                            "      <td>0.293033</td>\n",
                            "      <td>0.275287</td>\n",
                            "      <td>0.214422</td>\n",
                            "      <td>0.971194</td>\n",
                            "      <td>0.088626</td>\n",
                            "      <td>0.934358</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>c2</th>\n",
                            "      <td>113</td>\n",
                            "      <td>0.081431</td>\n",
                            "      <td>0.430268</td>\n",
                            "      <td>0.422492</td>\n",
                            "      <td>0.357138</td>\n",
                            "      <td>0.974335</td>\n",
                            "      <td>0.153454</td>\n",
                            "      <td>0.849675</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                     n      bias      rmse     urmse       mae        cc  \\\n",
                            "model observation                                                          \n",
                            "SW_1  EPL           67 -0.066597  0.223597  0.213449  0.188513  0.969846   \n",
                            "      HKNA         386 -0.194260  0.351964  0.293499  0.251839  0.971194   \n",
                            "      c2           113 -0.001210  0.351797  0.351794  0.294585  0.974335   \n",
                            "SW_2  EPL           67 -0.000199  0.232479  0.232479  0.198294  0.969846   \n",
                            "      HKNA         386 -0.100426  0.293033  0.275287  0.214422  0.971194   \n",
                            "      c2           113  0.081431  0.430268  0.422492  0.357138  0.974335   \n",
                            "\n",
                            "                         si        r2  \n",
                            "model observation                      \n",
                            "SW_1  EPL          0.082522  0.932596  \n",
                            "      HKNA         0.094489  0.905300  \n",
                            "      c2           0.127776  0.899507  \n",
                            "SW_2  EPL          0.089879  0.927134  \n",
                            "      HKNA         0.088626  0.934358  \n",
                            "      c2           0.153454  0.849675  "
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc.skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "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>observation</th>\n",
                            "      <th>n</th>\n",
                            "      <th>bias</th>\n",
                            "      <th>rmse</th>\n",
                            "      <th>urmse</th>\n",
                            "      <th>mae</th>\n",
                            "      <th>cc</th>\n",
                            "      <th>si</th>\n",
                            "      <th>r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>model</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>SW_1</th>\n",
                            "      <td>c2</td>\n",
                            "      <td>113</td>\n",
                            "      <td>-0.001210</td>\n",
                            "      <td>0.351797</td>\n",
                            "      <td>0.351794</td>\n",
                            "      <td>0.294585</td>\n",
                            "      <td>0.974335</td>\n",
                            "      <td>0.127776</td>\n",
                            "      <td>0.899507</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SW_2</th>\n",
                            "      <td>c2</td>\n",
                            "      <td>113</td>\n",
                            "      <td>0.081431</td>\n",
                            "      <td>0.430268</td>\n",
                            "      <td>0.422492</td>\n",
                            "      <td>0.357138</td>\n",
                            "      <td>0.974335</td>\n",
                            "      <td>0.153454</td>\n",
                            "      <td>0.849675</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "      observation    n      bias      rmse     urmse       mae        cc  \\\n",
                            "model                                                                      \n",
                            "SW_1           c2  113 -0.001210  0.351797  0.351794  0.294585  0.974335   \n",
                            "SW_2           c2  113  0.081431  0.430268  0.422492  0.357138  0.974335   \n",
                            "\n",
                            "             si        r2  \n",
                            "model                      \n",
                            "SW_1   0.127776  0.899507  \n",
                            "SW_2   0.153454  0.849675  "
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc.sel(observation=\"c2\").skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [
                {
                    "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>n</th>\n",
                            "      <th>bias</th>\n",
                            "      <th>rmse</th>\n",
                            "      <th>urmse</th>\n",
                            "      <th>mae</th>\n",
                            "      <th>cc</th>\n",
                            "      <th>si</th>\n",
                            "      <th>r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>model</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>SW_1</th>\n",
                            "      <td>499</td>\n",
                            "      <td>-0.097735</td>\n",
                            "      <td>0.35188</td>\n",
                            "      <td>0.322647</td>\n",
                            "      <td>0.273212</td>\n",
                            "      <td>0.972764</td>\n",
                            "      <td>0.111132</td>\n",
                            "      <td>0.902404</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SW_2</th>\n",
                            "      <td>499</td>\n",
                            "      <td>-0.009497</td>\n",
                            "      <td>0.36165</td>\n",
                            "      <td>0.348889</td>\n",
                            "      <td>0.285780</td>\n",
                            "      <td>0.972764</td>\n",
                            "      <td>0.121040</td>\n",
                            "      <td>0.892016</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "         n      bias     rmse     urmse       mae        cc        si  \\\n",
                            "model                                                                   \n",
                            "SW_1   499 -0.097735  0.35188  0.322647  0.273212  0.972764  0.111132   \n",
                            "SW_2   499 -0.009497  0.36165  0.348889  0.285780  0.972764  0.121040   \n",
                            "\n",
                            "             r2  \n",
                            "model            \n",
                            "SW_1   0.902404  \n",
                            "SW_2   0.892016  "
                        ]
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc.sel(model=0, observation=[0,\"c2\"]).mean_skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 800x800 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "cc.sel(model='SW_1').plot.scatter();"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 700x700 with 1 Axes>"
                        ]
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 700x700 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "cc.plot.taylor(normalize_std=True, aggregate_observations=False)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Time series plot (specifically for point comparisons)\n",
                "If you select an comparison from the collection which is a PointComparer, you can do a time series plot"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1200x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "cc['EPL'].plot.timeseries(figsize=(12,4));"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Filtering on time\n",
                "Use the `start` and `end` arguments to do your analysis on part of the time series"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [
                {
                    "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>n</th>\n",
                            "      <th>bias</th>\n",
                            "      <th>rmse</th>\n",
                            "      <th>urmse</th>\n",
                            "      <th>mae</th>\n",
                            "      <th>cc</th>\n",
                            "      <th>si</th>\n",
                            "      <th>r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>observation</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>EPL</th>\n",
                            "      <td>48</td>\n",
                            "      <td>-0.100116</td>\n",
                            "      <td>0.238728</td>\n",
                            "      <td>0.216721</td>\n",
                            "      <td>0.203709</td>\n",
                            "      <td>0.919574</td>\n",
                            "      <td>0.100918</td>\n",
                            "      <td>0.812073</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>HKNA</th>\n",
                            "      <td>281</td>\n",
                            "      <td>-0.097075</td>\n",
                            "      <td>0.203241</td>\n",
                            "      <td>0.178559</td>\n",
                            "      <td>0.164563</td>\n",
                            "      <td>0.968106</td>\n",
                            "      <td>0.070167</td>\n",
                            "      <td>0.916126</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>c2</th>\n",
                            "      <td>72</td>\n",
                            "      <td>-0.188193</td>\n",
                            "      <td>0.313787</td>\n",
                            "      <td>0.251089</td>\n",
                            "      <td>0.258661</td>\n",
                            "      <td>0.478554</td>\n",
                            "      <td>0.123019</td>\n",
                            "      <td>-1.420894</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "               n      bias      rmse     urmse       mae        cc        si  \\\n",
                            "observation                                                                    \n",
                            "EPL           48 -0.100116  0.238728  0.216721  0.203709  0.919574  0.100918   \n",
                            "HKNA         281 -0.097075  0.203241  0.178559  0.164563  0.968106  0.070167   \n",
                            "c2            72 -0.188193  0.313787  0.251089  0.258661  0.478554  0.123019   \n",
                            "\n",
                            "                   r2  \n",
                            "observation            \n",
                            "EPL          0.812073  \n",
                            "HKNA         0.916126  \n",
                            "c2          -1.420894  "
                        ]
                    },
                    "execution_count": 14,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc.sel(model=\"SW_1\", end='2017-10-28').skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 600x700 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "cc.sel(model='SW_2', start='2017-10-28').plot.scatter(cmap='OrRd', figsize=(6,7));"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Filtering on area\n",
                "You can do you analysis in a specific `area` by providing a bounding box or a closed polygon"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [],
            "source": [
                "bbox = np.array([0.5,52.5,5,54])\n",
                "polygon = np.array([[6,51],[0,55],[0,51],[6,51]])"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "ax = ms.plotting.spatial_overview(obs=[o1, o2, o3], mod=[mr1, mr2]);\n",
                "ax.plot([bbox[0],bbox[2],bbox[2],bbox[0],bbox[0]],[bbox[1],bbox[1],bbox[3],bbox[3],bbox[1]]);\n",
                "ax.plot(polygon[:,0],polygon[:,1]);"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [
                {
                    "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>n</th>\n",
                            "      <th>bias</th>\n",
                            "      <th>rmse</th>\n",
                            "      <th>urmse</th>\n",
                            "      <th>mae</th>\n",
                            "      <th>cc</th>\n",
                            "      <th>si</th>\n",
                            "      <th>r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>observation</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>HKNA</th>\n",
                            "      <td>386</td>\n",
                            "      <td>-0.19426</td>\n",
                            "      <td>0.351964</td>\n",
                            "      <td>0.293499</td>\n",
                            "      <td>0.251839</td>\n",
                            "      <td>0.971194</td>\n",
                            "      <td>0.094489</td>\n",
                            "      <td>0.905300</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>c2</th>\n",
                            "      <td>42</td>\n",
                            "      <td>-0.05587</td>\n",
                            "      <td>0.388404</td>\n",
                            "      <td>0.384365</td>\n",
                            "      <td>0.336023</td>\n",
                            "      <td>0.952688</td>\n",
                            "      <td>0.145724</td>\n",
                            "      <td>0.749645</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "               n     bias      rmse     urmse       mae        cc        si  \\\n",
                            "observation                                                                   \n",
                            "HKNA         386 -0.19426  0.351964  0.293499  0.251839  0.971194  0.094489   \n",
                            "c2            42 -0.05587  0.388404  0.384365  0.336023  0.952688  0.145724   \n",
                            "\n",
                            "                   r2  \n",
                            "observation            \n",
                            "HKNA         0.905300  \n",
                            "c2           0.749645  "
                        ]
                    },
                    "execution_count": 18,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cc.sel(model=\"SW_1\", area=bbox).skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/vnd.plotly.v1+json": {
                            "config": {
                                "plotlyServerURL": "https://plot.ly"
                            },
                            "data": [
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                                        "color": "blue"
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                                    "mode": "lines",
                                    "name": "1:1",
                                    "type": "scatter",
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                                    "y": [
                                        0.7208566993474961,
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                                },
                                {
                                    "line": {
                                        "color": "red"
                                    },
                                    "mode": "lines",
                                    "name": "Fit: y=1.18x-0.49",
                                    "type": "scatter",
                                    "x": [
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                                    ],
                                    "y": [
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                                {
                                    "marker": {
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                                        "scene": {
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                                            "bgcolor": "#E5ECF6",
                                            "caxis": {
                                                "gridcolor": "white",
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                                        },
                                        "title": {
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                                        "xaxis": {
                                            "automargin": true,
                                            "gridcolor": "white",
                                            "linecolor": "white",
                                            "ticks": "",
                                            "title": {
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                                            "zerolinewidth": 2
                                        },
                                        "yaxis": {
                                            "automargin": true,
                                            "gridcolor": "white",
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                                            "zerolinewidth": 2
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                                    }
                                },
                                "title": {
                                    "text": "SW_2 vs Observations",
                                    "x": 0.5,
                                    "xanchor": "center",
                                    "y": 0.9,
                                    "yanchor": "top"
                                },
                                "width": 600,
                                "xaxis": {
                                    "range": [
                                        0.7208566993474961,
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                                },
                                "yaxis": {
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                                        0.7208566993474961,
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                    },
                    "metadata": {},
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            ],
            "source": [
                "cc.sel(model=\"SW_2\", area=polygon).plot.scatter(backend='plotly')"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Skill object\n",
                "\n",
                "The skill() and mean_skill() methods return a skill object that can visualize results in various ways. The primary methods of the skill object are:\n",
                "\n",
                "* style()\n",
                "* plot.bar()\n",
                "* plot.line()\n",
                "* plot.grid()\n",
                "* sel()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [],
            "source": [
                "s = cc.skill()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
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                            "      <th id=\"T_8a7b2_level0_col0\" class=\"col_heading level0 col0\" >n</th>\n",
                            "      <th id=\"T_8a7b2_level0_col1\" class=\"col_heading level0 col1\" >bias</th>\n",
                            "      <th id=\"T_8a7b2_level0_col2\" class=\"col_heading level0 col2\" >rmse</th>\n",
                            "      <th id=\"T_8a7b2_level0_col3\" class=\"col_heading level0 col3\" >urmse</th>\n",
                            "      <th id=\"T_8a7b2_level0_col4\" class=\"col_heading level0 col4\" >mae</th>\n",
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                            "      <th id=\"T_8a7b2_level0_col6\" class=\"col_heading level0 col6\" >si</th>\n",
                            "      <th id=\"T_8a7b2_level0_col7\" class=\"col_heading level0 col7\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
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                            "  <tbody>\n",
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                            "      <th id=\"T_8a7b2_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"3\">SW_1</th>\n",
                            "      <th id=\"T_8a7b2_level1_row0\" class=\"row_heading level1 row0\" >EPL</th>\n",
                            "      <td id=\"T_8a7b2_row0_col0\" class=\"data row0 col0\" >67</td>\n",
                            "      <td id=\"T_8a7b2_row0_col1\" class=\"data row0 col1\" >-0.067</td>\n",
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                            "      <td id=\"T_8a7b2_row0_col3\" class=\"data row0 col3\" >0.213</td>\n",
                            "      <td id=\"T_8a7b2_row0_col4\" class=\"data row0 col4\" >0.189</td>\n",
                            "      <td id=\"T_8a7b2_row0_col5\" class=\"data row0 col5\" >0.970</td>\n",
                            "      <td id=\"T_8a7b2_row0_col6\" class=\"data row0 col6\" >0.083</td>\n",
                            "      <td id=\"T_8a7b2_row0_col7\" class=\"data row0 col7\" >0.933</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_8a7b2_level1_row1\" class=\"row_heading level1 row1\" >HKNA</th>\n",
                            "      <td id=\"T_8a7b2_row1_col0\" class=\"data row1 col0\" >386</td>\n",
                            "      <td id=\"T_8a7b2_row1_col1\" class=\"data row1 col1\" >-0.194</td>\n",
                            "      <td id=\"T_8a7b2_row1_col2\" class=\"data row1 col2\" >0.352</td>\n",
                            "      <td id=\"T_8a7b2_row1_col3\" class=\"data row1 col3\" >0.293</td>\n",
                            "      <td id=\"T_8a7b2_row1_col4\" class=\"data row1 col4\" >0.252</td>\n",
                            "      <td id=\"T_8a7b2_row1_col5\" class=\"data row1 col5\" >0.971</td>\n",
                            "      <td id=\"T_8a7b2_row1_col6\" class=\"data row1 col6\" >0.094</td>\n",
                            "      <td id=\"T_8a7b2_row1_col7\" class=\"data row1 col7\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_8a7b2_level1_row2\" class=\"row_heading level1 row2\" >c2</th>\n",
                            "      <td id=\"T_8a7b2_row2_col0\" class=\"data row2 col0\" >113</td>\n",
                            "      <td id=\"T_8a7b2_row2_col1\" class=\"data row2 col1\" >-0.001</td>\n",
                            "      <td id=\"T_8a7b2_row2_col2\" class=\"data row2 col2\" >0.352</td>\n",
                            "      <td id=\"T_8a7b2_row2_col3\" class=\"data row2 col3\" >0.352</td>\n",
                            "      <td id=\"T_8a7b2_row2_col4\" class=\"data row2 col4\" >0.295</td>\n",
                            "      <td id=\"T_8a7b2_row2_col5\" class=\"data row2 col5\" >0.974</td>\n",
                            "      <td id=\"T_8a7b2_row2_col6\" class=\"data row2 col6\" >0.128</td>\n",
                            "      <td id=\"T_8a7b2_row2_col7\" class=\"data row2 col7\" >0.900</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_8a7b2_level0_row3\" class=\"row_heading level0 row3\" rowspan=\"3\">SW_2</th>\n",
                            "      <th id=\"T_8a7b2_level1_row3\" class=\"row_heading level1 row3\" >EPL</th>\n",
                            "      <td id=\"T_8a7b2_row3_col0\" class=\"data row3 col0\" >67</td>\n",
                            "      <td id=\"T_8a7b2_row3_col1\" class=\"data row3 col1\" >-0.000</td>\n",
                            "      <td id=\"T_8a7b2_row3_col2\" class=\"data row3 col2\" >0.232</td>\n",
                            "      <td id=\"T_8a7b2_row3_col3\" class=\"data row3 col3\" >0.232</td>\n",
                            "      <td id=\"T_8a7b2_row3_col4\" class=\"data row3 col4\" >0.198</td>\n",
                            "      <td id=\"T_8a7b2_row3_col5\" class=\"data row3 col5\" >0.970</td>\n",
                            "      <td id=\"T_8a7b2_row3_col6\" class=\"data row3 col6\" >0.090</td>\n",
                            "      <td id=\"T_8a7b2_row3_col7\" class=\"data row3 col7\" >0.927</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_8a7b2_level1_row4\" class=\"row_heading level1 row4\" >HKNA</th>\n",
                            "      <td id=\"T_8a7b2_row4_col0\" class=\"data row4 col0\" >386</td>\n",
                            "      <td id=\"T_8a7b2_row4_col1\" class=\"data row4 col1\" >-0.100</td>\n",
                            "      <td id=\"T_8a7b2_row4_col2\" class=\"data row4 col2\" >0.293</td>\n",
                            "      <td id=\"T_8a7b2_row4_col3\" class=\"data row4 col3\" >0.275</td>\n",
                            "      <td id=\"T_8a7b2_row4_col4\" class=\"data row4 col4\" >0.214</td>\n",
                            "      <td id=\"T_8a7b2_row4_col5\" class=\"data row4 col5\" >0.971</td>\n",
                            "      <td id=\"T_8a7b2_row4_col6\" class=\"data row4 col6\" >0.089</td>\n",
                            "      <td id=\"T_8a7b2_row4_col7\" class=\"data row4 col7\" >0.934</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_8a7b2_level1_row5\" class=\"row_heading level1 row5\" >c2</th>\n",
                            "      <td id=\"T_8a7b2_row5_col0\" class=\"data row5 col0\" >113</td>\n",
                            "      <td id=\"T_8a7b2_row5_col1\" class=\"data row5 col1\" >0.081</td>\n",
                            "      <td id=\"T_8a7b2_row5_col2\" class=\"data row5 col2\" >0.430</td>\n",
                            "      <td id=\"T_8a7b2_row5_col3\" class=\"data row5 col3\" >0.422</td>\n",
                            "      <td id=\"T_8a7b2_row5_col4\" class=\"data row5 col4\" >0.357</td>\n",
                            "      <td id=\"T_8a7b2_row5_col5\" class=\"data row5 col5\" >0.974</td>\n",
                            "      <td id=\"T_8a7b2_row5_col6\" class=\"data row5 col6\" >0.153</td>\n",
                            "      <td id=\"T_8a7b2_row5_col7\" class=\"data row5 col7\" >0.850</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x208804844c0>"
                        ]
                    },
                    "execution_count": 21,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_5b2ac_row0_col1 {\n",
                            "  background-color: #a9c6fd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row0_col2, #T_5b2ac_row0_col3, #T_5b2ac_row0_col4, #T_5b2ac_row0_col6, #T_5b2ac_row4_col7, #T_5b2ac_row5_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_5b2ac_row0_col5, #T_5b2ac_row3_col5, #T_5b2ac_row5_col2, #T_5b2ac_row5_col3, #T_5b2ac_row5_col4, #T_5b2ac_row5_col6, #T_5b2ac_row5_col7 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row0_col7 {\n",
                            "  background-color: #fff5e6;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row1_col1 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row1_col2 {\n",
                            "  background-color: #ef6548;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row1_col3 {\n",
                            "  background-color: #fdb881;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row1_col4 {\n",
                            "  background-color: #fdba83;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row1_col5, #T_5b2ac_row4_col5 {\n",
                            "  background-color: #e0442f;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row1_col6 {\n",
                            "  background-color: #fee1b9;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row1_col7 {\n",
                            "  background-color: #fdc28b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row2_col1 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row2_col2 {\n",
                            "  background-color: #f06749;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row2_col3 {\n",
                            "  background-color: #e8553c;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row2_col4 {\n",
                            "  background-color: #ee6246;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row2_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row2_col6 {\n",
                            "  background-color: #ec5f43;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5b2ac_row2_col7 {\n",
                            "  background-color: #fdad77;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row3_col1 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_5b2ac_row3_col2 {\n",
                            "  background-color: #fff2e0;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row3_col3 {\n",
                            "  background-color: #feecd2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row3_col4 {\n",
                            "  background-color: #fff0dc;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row3_col6 {\n",
                            "  background-color: #feebcf;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row3_col7 {\n",
                            "  background-color: #feedd4;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row4_col1 {\n",
                            "  background-color: #89acfd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row4_col2 {\n",
                            "  background-color: #fdc38c;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row4_col3 {\n",
                            "  background-color: #fdcb95;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row4_col4 {\n",
                            "  background-color: #fee4bf;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row4_col6 {\n",
                            "  background-color: #feedd3;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5b2ac_row5_col1 {\n",
                            "  background-color: #f7a98b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_5b2ac\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank\" >&nbsp;</th>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_5b2ac_level0_col0\" class=\"col_heading level0 col0\" >n</th>\n",
                            "      <th id=\"T_5b2ac_level0_col1\" class=\"col_heading level0 col1\" >bias</th>\n",
                            "      <th id=\"T_5b2ac_level0_col2\" class=\"col_heading level0 col2\" >rmse</th>\n",
                            "      <th id=\"T_5b2ac_level0_col3\" class=\"col_heading level0 col3\" >urmse</th>\n",
                            "      <th id=\"T_5b2ac_level0_col4\" class=\"col_heading level0 col4\" >mae</th>\n",
                            "      <th id=\"T_5b2ac_level0_col5\" class=\"col_heading level0 col5\" >cc</th>\n",
                            "      <th id=\"T_5b2ac_level0_col6\" class=\"col_heading level0 col6\" >si</th>\n",
                            "      <th id=\"T_5b2ac_level0_col7\" class=\"col_heading level0 col7\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"3\">SW_1</th>\n",
                            "      <th id=\"T_5b2ac_level1_row0\" class=\"row_heading level1 row0\" >EPL</th>\n",
                            "      <td id=\"T_5b2ac_row0_col0\" class=\"data row0 col0\" >67</td>\n",
                            "      <td id=\"T_5b2ac_row0_col1\" class=\"data row0 col1\" >-0.067</td>\n",
                            "      <td id=\"T_5b2ac_row0_col2\" class=\"data row0 col2\" >0.224</td>\n",
                            "      <td id=\"T_5b2ac_row0_col3\" class=\"data row0 col3\" >0.213</td>\n",
                            "      <td id=\"T_5b2ac_row0_col4\" class=\"data row0 col4\" >0.189</td>\n",
                            "      <td id=\"T_5b2ac_row0_col5\" class=\"data row0 col5\" >0.970</td>\n",
                            "      <td id=\"T_5b2ac_row0_col6\" class=\"data row0 col6\" >0.083</td>\n",
                            "      <td id=\"T_5b2ac_row0_col7\" class=\"data row0 col7\" >0.933</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level1_row1\" class=\"row_heading level1 row1\" >HKNA</th>\n",
                            "      <td id=\"T_5b2ac_row1_col0\" class=\"data row1 col0\" >386</td>\n",
                            "      <td id=\"T_5b2ac_row1_col1\" class=\"data row1 col1\" >-0.194</td>\n",
                            "      <td id=\"T_5b2ac_row1_col2\" class=\"data row1 col2\" >0.352</td>\n",
                            "      <td id=\"T_5b2ac_row1_col3\" class=\"data row1 col3\" >0.293</td>\n",
                            "      <td id=\"T_5b2ac_row1_col4\" class=\"data row1 col4\" >0.252</td>\n",
                            "      <td id=\"T_5b2ac_row1_col5\" class=\"data row1 col5\" >0.971</td>\n",
                            "      <td id=\"T_5b2ac_row1_col6\" class=\"data row1 col6\" >0.094</td>\n",
                            "      <td id=\"T_5b2ac_row1_col7\" class=\"data row1 col7\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level1_row2\" class=\"row_heading level1 row2\" >c2</th>\n",
                            "      <td id=\"T_5b2ac_row2_col0\" class=\"data row2 col0\" >113</td>\n",
                            "      <td id=\"T_5b2ac_row2_col1\" class=\"data row2 col1\" >-0.001</td>\n",
                            "      <td id=\"T_5b2ac_row2_col2\" class=\"data row2 col2\" >0.352</td>\n",
                            "      <td id=\"T_5b2ac_row2_col3\" class=\"data row2 col3\" >0.352</td>\n",
                            "      <td id=\"T_5b2ac_row2_col4\" class=\"data row2 col4\" >0.295</td>\n",
                            "      <td id=\"T_5b2ac_row2_col5\" class=\"data row2 col5\" >0.974</td>\n",
                            "      <td id=\"T_5b2ac_row2_col6\" class=\"data row2 col6\" >0.128</td>\n",
                            "      <td id=\"T_5b2ac_row2_col7\" class=\"data row2 col7\" >0.900</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level0_row3\" class=\"row_heading level0 row3\" rowspan=\"3\">SW_2</th>\n",
                            "      <th id=\"T_5b2ac_level1_row3\" class=\"row_heading level1 row3\" >EPL</th>\n",
                            "      <td id=\"T_5b2ac_row3_col0\" class=\"data row3 col0\" >67</td>\n",
                            "      <td id=\"T_5b2ac_row3_col1\" class=\"data row3 col1\" >-0.000</td>\n",
                            "      <td id=\"T_5b2ac_row3_col2\" class=\"data row3 col2\" >0.232</td>\n",
                            "      <td id=\"T_5b2ac_row3_col3\" class=\"data row3 col3\" >0.232</td>\n",
                            "      <td id=\"T_5b2ac_row3_col4\" class=\"data row3 col4\" >0.198</td>\n",
                            "      <td id=\"T_5b2ac_row3_col5\" class=\"data row3 col5\" >0.970</td>\n",
                            "      <td id=\"T_5b2ac_row3_col6\" class=\"data row3 col6\" >0.090</td>\n",
                            "      <td id=\"T_5b2ac_row3_col7\" class=\"data row3 col7\" >0.927</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level1_row4\" class=\"row_heading level1 row4\" >HKNA</th>\n",
                            "      <td id=\"T_5b2ac_row4_col0\" class=\"data row4 col0\" >386</td>\n",
                            "      <td id=\"T_5b2ac_row4_col1\" class=\"data row4 col1\" >-0.100</td>\n",
                            "      <td id=\"T_5b2ac_row4_col2\" class=\"data row4 col2\" >0.293</td>\n",
                            "      <td id=\"T_5b2ac_row4_col3\" class=\"data row4 col3\" >0.275</td>\n",
                            "      <td id=\"T_5b2ac_row4_col4\" class=\"data row4 col4\" >0.214</td>\n",
                            "      <td id=\"T_5b2ac_row4_col5\" class=\"data row4 col5\" >0.971</td>\n",
                            "      <td id=\"T_5b2ac_row4_col6\" class=\"data row4 col6\" >0.089</td>\n",
                            "      <td id=\"T_5b2ac_row4_col7\" class=\"data row4 col7\" >0.934</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5b2ac_level1_row5\" class=\"row_heading level1 row5\" >c2</th>\n",
                            "      <td id=\"T_5b2ac_row5_col0\" class=\"data row5 col0\" >113</td>\n",
                            "      <td id=\"T_5b2ac_row5_col1\" class=\"data row5 col1\" >0.081</td>\n",
                            "      <td id=\"T_5b2ac_row5_col2\" class=\"data row5 col2\" >0.430</td>\n",
                            "      <td id=\"T_5b2ac_row5_col3\" class=\"data row5 col3\" >0.422</td>\n",
                            "      <td id=\"T_5b2ac_row5_col4\" class=\"data row5 col4\" >0.357</td>\n",
                            "      <td id=\"T_5b2ac_row5_col5\" class=\"data row5 col5\" >0.974</td>\n",
                            "      <td id=\"T_5b2ac_row5_col6\" class=\"data row5 col6\" >0.153</td>\n",
                            "      <td id=\"T_5b2ac_row5_col7\" class=\"data row5 col7\" >0.850</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x208ff726a10>"
                        ]
                    },
                    "execution_count": 22,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.style(columns='rmse')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "s[\"rmse\"].plot.bar();"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": [
                "s = cc.skill(by=['model','freq:12H'], metrics=['bias','rmse','si'])"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_5a705_row0_col1 {\n",
                            "  background-color: #bbd1f8;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row0_col2 {\n",
                            "  background-color: #fdd6a2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row0_col3, #T_5a705_row4_col2 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row1_col1 {\n",
                            "  background-color: #9fbfff;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row1_col2 {\n",
                            "  background-color: #fdd7a4;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row1_col3 {\n",
                            "  background-color: #ef6447;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row2_col1 {\n",
                            "  background-color: #b6cefa;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row2_col2 {\n",
                            "  background-color: #feefda;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row2_col3 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row3_col1 {\n",
                            "  background-color: #d1dae9;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row3_col2 {\n",
                            "  background-color: #fee9ca;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row3_col3 {\n",
                            "  background-color: #fff3e2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row4_col1 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row4_col3 {\n",
                            "  background-color: #f98254;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row5_col1 {\n",
                            "  background-color: #dedcdb;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_5a705_row5_col2 {\n",
                            "  background-color: #f16c4b;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row5_col3 {\n",
                            "  background-color: #c0110b;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row6_col1 {\n",
                            "  background-color: #c5d6f2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row6_col2 {\n",
                            "  background-color: #fdddb1;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row6_col3 {\n",
                            "  background-color: #a90000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row7_col1 {\n",
                            "  background-color: #a7c5fe;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row7_col2 {\n",
                            "  background-color: #fdd9aa;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row7_col3 {\n",
                            "  background-color: #e24831;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row8_col1 {\n",
                            "  background-color: #cbd8ee;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row8_col2, #T_5a705_row8_col3 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_5a705_row9_col1 {\n",
                            "  background-color: #f2c9b4;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row9_col2 {\n",
                            "  background-color: #fddeb3;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row9_col3 {\n",
                            "  background-color: #feeace;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row10_col1 {\n",
                            "  background-color: #86a9fc;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row10_col2 {\n",
                            "  background-color: #da3724;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row10_col3 {\n",
                            "  background-color: #f98455;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row11_col1 {\n",
                            "  background-color: #f7aa8c;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_5a705_row11_col2 {\n",
                            "  background-color: #dc3a27;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_5a705_row11_col3 {\n",
                            "  background-color: #a10000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_5a705\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank\" >&nbsp;</th>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_5a705_level0_col0\" class=\"col_heading level0 col0\" >n</th>\n",
                            "      <th id=\"T_5a705_level0_col1\" class=\"col_heading level0 col1\" >bias</th>\n",
                            "      <th id=\"T_5a705_level0_col2\" class=\"col_heading level0 col2\" >rmse</th>\n",
                            "      <th id=\"T_5a705_level0_col3\" class=\"col_heading level0 col3\" >si</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >time</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"6\">SW_1</th>\n",
                            "      <th id=\"T_5a705_level1_row0\" class=\"row_heading level1 row0\" >2017-10-27 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row0_col0\" class=\"data row0 col0\" >84</td>\n",
                            "      <td id=\"T_5a705_row0_col1\" class=\"data row0 col1\" >-0.096</td>\n",
                            "      <td id=\"T_5a705_row0_col2\" class=\"data row0 col2\" >0.257</td>\n",
                            "      <td id=\"T_5a705_row0_col3\" class=\"data row0 col3\" >0.117</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row1\" class=\"row_heading level1 row1\" >2017-10-27 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row1_col0\" class=\"data row1 col0\" >156</td>\n",
                            "      <td id=\"T_5a705_row1_col1\" class=\"data row1 col1\" >-0.166</td>\n",
                            "      <td id=\"T_5a705_row1_col2\" class=\"data row1 col2\" >0.253</td>\n",
                            "      <td id=\"T_5a705_row1_col3\" class=\"data row1 col3\" >0.094</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row2\" class=\"row_heading level1 row2\" >2017-10-28 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row2_col0\" class=\"data row2 col0\" >77</td>\n",
                            "      <td id=\"T_5a705_row2_col1\" class=\"data row2 col1\" >-0.111</td>\n",
                            "      <td id=\"T_5a705_row2_col2\" class=\"data row2 col2\" >0.178</td>\n",
                            "      <td id=\"T_5a705_row2_col3\" class=\"data row2 col3\" >0.056</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row3\" class=\"row_heading level1 row3\" >2017-10-28 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row3_col0\" class=\"data row3 col0\" >84</td>\n",
                            "      <td id=\"T_5a705_row3_col1\" class=\"data row3 col1\" >-0.037</td>\n",
                            "      <td id=\"T_5a705_row3_col2\" class=\"data row3 col2\" >0.204</td>\n",
                            "      <td id=\"T_5a705_row3_col3\" class=\"data row3 col3\" >0.058</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row4\" class=\"row_heading level1 row4\" >2017-10-29 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row4_col0\" class=\"data row4 col0\" >82</td>\n",
                            "      <td id=\"T_5a705_row4_col1\" class=\"data row4 col1\" >-0.421</td>\n",
                            "      <td id=\"T_5a705_row4_col2\" class=\"data row4 col2\" >0.596</td>\n",
                            "      <td id=\"T_5a705_row4_col3\" class=\"data row4 col3\" >0.089</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row5\" class=\"row_heading level1 row5\" >2017-10-29 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row5_col0\" class=\"data row5 col0\" >83</td>\n",
                            "      <td id=\"T_5a705_row5_col1\" class=\"data row5 col1\" >0.007</td>\n",
                            "      <td id=\"T_5a705_row5_col2\" class=\"data row5 col2\" >0.419</td>\n",
                            "      <td id=\"T_5a705_row5_col3\" class=\"data row5 col3\" >0.106</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level0_row6\" class=\"row_heading level0 row6\" rowspan=\"6\">SW_2</th>\n",
                            "      <th id=\"T_5a705_level1_row6\" class=\"row_heading level1 row6\" >2017-10-27 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row6_col0\" class=\"data row6 col0\" >84</td>\n",
                            "      <td id=\"T_5a705_row6_col1\" class=\"data row6 col1\" >-0.070</td>\n",
                            "      <td id=\"T_5a705_row6_col2\" class=\"data row6 col2\" >0.236</td>\n",
                            "      <td id=\"T_5a705_row6_col3\" class=\"data row6 col3\" >0.110</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row7\" class=\"row_heading level1 row7\" >2017-10-27 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row7_col0\" class=\"data row7 col0\" >156</td>\n",
                            "      <td id=\"T_5a705_row7_col1\" class=\"data row7 col1\" >-0.146</td>\n",
                            "      <td id=\"T_5a705_row7_col2\" class=\"data row7 col2\" >0.247</td>\n",
                            "      <td id=\"T_5a705_row7_col3\" class=\"data row7 col3\" >0.098</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row8\" class=\"row_heading level1 row8\" >2017-10-28 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row8_col0\" class=\"data row8 col0\" >77</td>\n",
                            "      <td id=\"T_5a705_row8_col1\" class=\"data row8 col1\" >-0.056</td>\n",
                            "      <td id=\"T_5a705_row8_col2\" class=\"data row8 col2\" >0.150</td>\n",
                            "      <td id=\"T_5a705_row8_col3\" class=\"data row8 col3\" >0.056</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row9\" class=\"row_heading level1 row9\" >2017-10-28 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row9_col0\" class=\"data row9 col0\" >84</td>\n",
                            "      <td id=\"T_5a705_row9_col1\" class=\"data row9 col1\" >0.091</td>\n",
                            "      <td id=\"T_5a705_row9_col2\" class=\"data row9 col2\" >0.234</td>\n",
                            "      <td id=\"T_5a705_row9_col3\" class=\"data row9 col3\" >0.063</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row10\" class=\"row_heading level1 row10\" >2017-10-29 00:00:00</th>\n",
                            "      <td id=\"T_5a705_row10_col0\" class=\"data row10 col0\" >82</td>\n",
                            "      <td id=\"T_5a705_row10_col1\" class=\"data row10 col1\" >-0.226</td>\n",
                            "      <td id=\"T_5a705_row10_col2\" class=\"data row10 col2\" >0.477</td>\n",
                            "      <td id=\"T_5a705_row10_col3\" class=\"data row10 col3\" >0.088</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_5a705_level1_row11\" class=\"row_heading level1 row11\" >2017-10-29 12:00:00</th>\n",
                            "      <td id=\"T_5a705_row11_col0\" class=\"data row11 col0\" >83</td>\n",
                            "      <td id=\"T_5a705_row11_col1\" class=\"data row11 col1\" >0.173</td>\n",
                            "      <td id=\"T_5a705_row11_col2\" class=\"data row11 col2\" >0.472</td>\n",
                            "      <td id=\"T_5a705_row11_col3\" class=\"data row11 col3\" >0.112</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880ad73a0>"
                        ]
                    },
                    "execution_count": 25,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "s[\"rmse\"].plot.line(title='Hm0 rmse [m]');"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 600x200 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "s[\"si\"].plot.grid(fmt='0.1%', title='Hm0 Scatter index');"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### The sel() method can subset the skill object \n",
                "\n",
                "A new skill object will be returned"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_38447_row0_col1 {\n",
                            "  background-color: #a9c6fd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row0_col2, #T_38447_row0_col3, #T_38447_row0_col4, #T_38447_row0_col6, #T_38447_row4_col7, #T_38447_row5_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_38447_row0_col5, #T_38447_row3_col5, #T_38447_row5_col2, #T_38447_row5_col3, #T_38447_row5_col4, #T_38447_row5_col6, #T_38447_row5_col7 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row0_col7 {\n",
                            "  background-color: #fff5e6;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row1_col1 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row1_col2 {\n",
                            "  background-color: #ef6548;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row1_col3 {\n",
                            "  background-color: #fdb881;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row1_col4 {\n",
                            "  background-color: #fdba83;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row1_col5, #T_38447_row4_col5 {\n",
                            "  background-color: #e0442f;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row1_col6 {\n",
                            "  background-color: #fee1b9;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row1_col7 {\n",
                            "  background-color: #fdc28b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row2_col1 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row2_col2 {\n",
                            "  background-color: #f06749;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row2_col3 {\n",
                            "  background-color: #e8553c;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row2_col4 {\n",
                            "  background-color: #ee6246;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row2_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row2_col6 {\n",
                            "  background-color: #ec5f43;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_38447_row2_col7 {\n",
                            "  background-color: #fdad77;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row3_col1 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_38447_row3_col2 {\n",
                            "  background-color: #fff2e0;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row3_col3 {\n",
                            "  background-color: #feecd2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row3_col4 {\n",
                            "  background-color: #fff0dc;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row3_col6 {\n",
                            "  background-color: #feebcf;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row3_col7 {\n",
                            "  background-color: #feedd4;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row4_col1 {\n",
                            "  background-color: #89acfd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row4_col2 {\n",
                            "  background-color: #fdc38c;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row4_col3 {\n",
                            "  background-color: #fdcb95;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row4_col4 {\n",
                            "  background-color: #fee4bf;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row4_col6 {\n",
                            "  background-color: #feedd3;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_38447_row5_col1 {\n",
                            "  background-color: #f7a98b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_38447\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank\" >&nbsp;</th>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_38447_level0_col0\" class=\"col_heading level0 col0\" >n</th>\n",
                            "      <th id=\"T_38447_level0_col1\" class=\"col_heading level0 col1\" >bias</th>\n",
                            "      <th id=\"T_38447_level0_col2\" class=\"col_heading level0 col2\" >rmse</th>\n",
                            "      <th id=\"T_38447_level0_col3\" class=\"col_heading level0 col3\" >urmse</th>\n",
                            "      <th id=\"T_38447_level0_col4\" class=\"col_heading level0 col4\" >mae</th>\n",
                            "      <th id=\"T_38447_level0_col5\" class=\"col_heading level0 col5\" >cc</th>\n",
                            "      <th id=\"T_38447_level0_col6\" class=\"col_heading level0 col6\" >si</th>\n",
                            "      <th id=\"T_38447_level0_col7\" class=\"col_heading level0 col7\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"3\">SW_1</th>\n",
                            "      <th id=\"T_38447_level1_row0\" class=\"row_heading level1 row0\" >EPL</th>\n",
                            "      <td id=\"T_38447_row0_col0\" class=\"data row0 col0\" >67</td>\n",
                            "      <td id=\"T_38447_row0_col1\" class=\"data row0 col1\" >-0.067</td>\n",
                            "      <td id=\"T_38447_row0_col2\" class=\"data row0 col2\" >0.224</td>\n",
                            "      <td id=\"T_38447_row0_col3\" class=\"data row0 col3\" >0.213</td>\n",
                            "      <td id=\"T_38447_row0_col4\" class=\"data row0 col4\" >0.189</td>\n",
                            "      <td id=\"T_38447_row0_col5\" class=\"data row0 col5\" >0.970</td>\n",
                            "      <td id=\"T_38447_row0_col6\" class=\"data row0 col6\" >0.083</td>\n",
                            "      <td id=\"T_38447_row0_col7\" class=\"data row0 col7\" >0.933</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level1_row1\" class=\"row_heading level1 row1\" >HKNA</th>\n",
                            "      <td id=\"T_38447_row1_col0\" class=\"data row1 col0\" >386</td>\n",
                            "      <td id=\"T_38447_row1_col1\" class=\"data row1 col1\" >-0.194</td>\n",
                            "      <td id=\"T_38447_row1_col2\" class=\"data row1 col2\" >0.352</td>\n",
                            "      <td id=\"T_38447_row1_col3\" class=\"data row1 col3\" >0.293</td>\n",
                            "      <td id=\"T_38447_row1_col4\" class=\"data row1 col4\" >0.252</td>\n",
                            "      <td id=\"T_38447_row1_col5\" class=\"data row1 col5\" >0.971</td>\n",
                            "      <td id=\"T_38447_row1_col6\" class=\"data row1 col6\" >0.094</td>\n",
                            "      <td id=\"T_38447_row1_col7\" class=\"data row1 col7\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level1_row2\" class=\"row_heading level1 row2\" >c2</th>\n",
                            "      <td id=\"T_38447_row2_col0\" class=\"data row2 col0\" >113</td>\n",
                            "      <td id=\"T_38447_row2_col1\" class=\"data row2 col1\" >-0.001</td>\n",
                            "      <td id=\"T_38447_row2_col2\" class=\"data row2 col2\" >0.352</td>\n",
                            "      <td id=\"T_38447_row2_col3\" class=\"data row2 col3\" >0.352</td>\n",
                            "      <td id=\"T_38447_row2_col4\" class=\"data row2 col4\" >0.295</td>\n",
                            "      <td id=\"T_38447_row2_col5\" class=\"data row2 col5\" >0.974</td>\n",
                            "      <td id=\"T_38447_row2_col6\" class=\"data row2 col6\" >0.128</td>\n",
                            "      <td id=\"T_38447_row2_col7\" class=\"data row2 col7\" >0.900</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level0_row3\" class=\"row_heading level0 row3\" rowspan=\"3\">SW_2</th>\n",
                            "      <th id=\"T_38447_level1_row3\" class=\"row_heading level1 row3\" >EPL</th>\n",
                            "      <td id=\"T_38447_row3_col0\" class=\"data row3 col0\" >67</td>\n",
                            "      <td id=\"T_38447_row3_col1\" class=\"data row3 col1\" >-0.000</td>\n",
                            "      <td id=\"T_38447_row3_col2\" class=\"data row3 col2\" >0.232</td>\n",
                            "      <td id=\"T_38447_row3_col3\" class=\"data row3 col3\" >0.232</td>\n",
                            "      <td id=\"T_38447_row3_col4\" class=\"data row3 col4\" >0.198</td>\n",
                            "      <td id=\"T_38447_row3_col5\" class=\"data row3 col5\" >0.970</td>\n",
                            "      <td id=\"T_38447_row3_col6\" class=\"data row3 col6\" >0.090</td>\n",
                            "      <td id=\"T_38447_row3_col7\" class=\"data row3 col7\" >0.927</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level1_row4\" class=\"row_heading level1 row4\" >HKNA</th>\n",
                            "      <td id=\"T_38447_row4_col0\" class=\"data row4 col0\" >386</td>\n",
                            "      <td id=\"T_38447_row4_col1\" class=\"data row4 col1\" >-0.100</td>\n",
                            "      <td id=\"T_38447_row4_col2\" class=\"data row4 col2\" >0.293</td>\n",
                            "      <td id=\"T_38447_row4_col3\" class=\"data row4 col3\" >0.275</td>\n",
                            "      <td id=\"T_38447_row4_col4\" class=\"data row4 col4\" >0.214</td>\n",
                            "      <td id=\"T_38447_row4_col5\" class=\"data row4 col5\" >0.971</td>\n",
                            "      <td id=\"T_38447_row4_col6\" class=\"data row4 col6\" >0.089</td>\n",
                            "      <td id=\"T_38447_row4_col7\" class=\"data row4 col7\" >0.934</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_38447_level1_row5\" class=\"row_heading level1 row5\" >c2</th>\n",
                            "      <td id=\"T_38447_row5_col0\" class=\"data row5 col0\" >113</td>\n",
                            "      <td id=\"T_38447_row5_col1\" class=\"data row5 col1\" >0.081</td>\n",
                            "      <td id=\"T_38447_row5_col2\" class=\"data row5 col2\" >0.430</td>\n",
                            "      <td id=\"T_38447_row5_col3\" class=\"data row5 col3\" >0.422</td>\n",
                            "      <td id=\"T_38447_row5_col4\" class=\"data row5 col4\" >0.357</td>\n",
                            "      <td id=\"T_38447_row5_col5\" class=\"data row5 col5\" >0.974</td>\n",
                            "      <td id=\"T_38447_row5_col6\" class=\"data row5 col6\" >0.153</td>\n",
                            "      <td id=\"T_38447_row5_col7\" class=\"data row5 col7\" >0.850</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880b47490>"
                        ]
                    },
                    "execution_count": 28,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s = cc.skill()\n",
                "s.style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_6e617_row0_col2 {\n",
                            "  background-color: #a9c6fd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e617_row0_col3, #T_6e617_row0_col4, #T_6e617_row0_col5, #T_6e617_row0_col7, #T_6e617_row0_col8, #T_6e617_row2_col6 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_6e617_row0_col6, #T_6e617_row1_col3, #T_6e617_row2_col3, #T_6e617_row2_col4, #T_6e617_row2_col5, #T_6e617_row2_col7, #T_6e617_row2_col8 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row1_col2 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row1_col4 {\n",
                            "  background-color: #f4734e;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row1_col5 {\n",
                            "  background-color: #f26e4c;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row1_col6 {\n",
                            "  background-color: #e0442f;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row1_col7 {\n",
                            "  background-color: #fdd19b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e617_row1_col8 {\n",
                            "  background-color: #c1120c;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e617_row2_col2 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_6e617\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_6e617_level0_col0\" class=\"col_heading level0 col0\" >model</th>\n",
                            "      <th id=\"T_6e617_level0_col1\" class=\"col_heading level0 col1\" >n</th>\n",
                            "      <th id=\"T_6e617_level0_col2\" class=\"col_heading level0 col2\" >bias</th>\n",
                            "      <th id=\"T_6e617_level0_col3\" class=\"col_heading level0 col3\" >rmse</th>\n",
                            "      <th id=\"T_6e617_level0_col4\" class=\"col_heading level0 col4\" >urmse</th>\n",
                            "      <th id=\"T_6e617_level0_col5\" class=\"col_heading level0 col5\" >mae</th>\n",
                            "      <th id=\"T_6e617_level0_col6\" class=\"col_heading level0 col6\" >cc</th>\n",
                            "      <th id=\"T_6e617_level0_col7\" class=\"col_heading level0 col7\" >si</th>\n",
                            "      <th id=\"T_6e617_level0_col8\" class=\"col_heading level0 col8\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
                            "      <th class=\"blank col8\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e617_level0_row0\" class=\"row_heading level0 row0\" >EPL</th>\n",
                            "      <td id=\"T_6e617_row0_col0\" class=\"data row0 col0\" >SW_1</td>\n",
                            "      <td id=\"T_6e617_row0_col1\" class=\"data row0 col1\" >67</td>\n",
                            "      <td id=\"T_6e617_row0_col2\" class=\"data row0 col2\" >-0.067</td>\n",
                            "      <td id=\"T_6e617_row0_col3\" class=\"data row0 col3\" >0.224</td>\n",
                            "      <td id=\"T_6e617_row0_col4\" class=\"data row0 col4\" >0.213</td>\n",
                            "      <td id=\"T_6e617_row0_col5\" class=\"data row0 col5\" >0.189</td>\n",
                            "      <td id=\"T_6e617_row0_col6\" class=\"data row0 col6\" >0.970</td>\n",
                            "      <td id=\"T_6e617_row0_col7\" class=\"data row0 col7\" >0.083</td>\n",
                            "      <td id=\"T_6e617_row0_col8\" class=\"data row0 col8\" >0.933</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e617_level0_row1\" class=\"row_heading level0 row1\" >HKNA</th>\n",
                            "      <td id=\"T_6e617_row1_col0\" class=\"data row1 col0\" >SW_1</td>\n",
                            "      <td id=\"T_6e617_row1_col1\" class=\"data row1 col1\" >386</td>\n",
                            "      <td id=\"T_6e617_row1_col2\" class=\"data row1 col2\" >-0.194</td>\n",
                            "      <td id=\"T_6e617_row1_col3\" class=\"data row1 col3\" >0.352</td>\n",
                            "      <td id=\"T_6e617_row1_col4\" class=\"data row1 col4\" >0.293</td>\n",
                            "      <td id=\"T_6e617_row1_col5\" class=\"data row1 col5\" >0.252</td>\n",
                            "      <td id=\"T_6e617_row1_col6\" class=\"data row1 col6\" >0.971</td>\n",
                            "      <td id=\"T_6e617_row1_col7\" class=\"data row1 col7\" >0.094</td>\n",
                            "      <td id=\"T_6e617_row1_col8\" class=\"data row1 col8\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e617_level0_row2\" class=\"row_heading level0 row2\" >c2</th>\n",
                            "      <td id=\"T_6e617_row2_col0\" class=\"data row2 col0\" >SW_1</td>\n",
                            "      <td id=\"T_6e617_row2_col1\" class=\"data row2 col1\" >113</td>\n",
                            "      <td id=\"T_6e617_row2_col2\" class=\"data row2 col2\" >-0.001</td>\n",
                            "      <td id=\"T_6e617_row2_col3\" class=\"data row2 col3\" >0.352</td>\n",
                            "      <td id=\"T_6e617_row2_col4\" class=\"data row2 col4\" >0.352</td>\n",
                            "      <td id=\"T_6e617_row2_col5\" class=\"data row2 col5\" >0.295</td>\n",
                            "      <td id=\"T_6e617_row2_col6\" class=\"data row2 col6\" >0.974</td>\n",
                            "      <td id=\"T_6e617_row2_col7\" class=\"data row2 col7\" >0.128</td>\n",
                            "      <td id=\"T_6e617_row2_col8\" class=\"data row2 col8\" >0.900</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880c37be0>"
                        ]
                    },
                    "execution_count": 29,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.sel(model='SW_1').style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_e98e2_row0_col2 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_e98e2_row0_col3, #T_e98e2_row0_col4, #T_e98e2_row0_col5, #T_e98e2_row0_col7, #T_e98e2_row0_col8, #T_e98e2_row1_col6 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_e98e2_row0_col6, #T_e98e2_row1_col3, #T_e98e2_row1_col4, #T_e98e2_row1_col5, #T_e98e2_row1_col7, #T_e98e2_row1_col8 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_e98e2_row1_col2 {\n",
                            "  background-color: #89acfd;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_e98e2\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_e98e2_level0_col0\" class=\"col_heading level0 col0\" >observation</th>\n",
                            "      <th id=\"T_e98e2_level0_col1\" class=\"col_heading level0 col1\" >n</th>\n",
                            "      <th id=\"T_e98e2_level0_col2\" class=\"col_heading level0 col2\" >bias</th>\n",
                            "      <th id=\"T_e98e2_level0_col3\" class=\"col_heading level0 col3\" >rmse</th>\n",
                            "      <th id=\"T_e98e2_level0_col4\" class=\"col_heading level0 col4\" >urmse</th>\n",
                            "      <th id=\"T_e98e2_level0_col5\" class=\"col_heading level0 col5\" >mae</th>\n",
                            "      <th id=\"T_e98e2_level0_col6\" class=\"col_heading level0 col6\" >cc</th>\n",
                            "      <th id=\"T_e98e2_level0_col7\" class=\"col_heading level0 col7\" >si</th>\n",
                            "      <th id=\"T_e98e2_level0_col8\" class=\"col_heading level0 col8\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
                            "      <th class=\"blank col8\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_e98e2_level0_row0\" class=\"row_heading level0 row0\" >SW_1</th>\n",
                            "      <td id=\"T_e98e2_row0_col0\" class=\"data row0 col0\" >HKNA</td>\n",
                            "      <td id=\"T_e98e2_row0_col1\" class=\"data row0 col1\" >386</td>\n",
                            "      <td id=\"T_e98e2_row0_col2\" class=\"data row0 col2\" >-0.194</td>\n",
                            "      <td id=\"T_e98e2_row0_col3\" class=\"data row0 col3\" >0.352</td>\n",
                            "      <td id=\"T_e98e2_row0_col4\" class=\"data row0 col4\" >0.293</td>\n",
                            "      <td id=\"T_e98e2_row0_col5\" class=\"data row0 col5\" >0.252</td>\n",
                            "      <td id=\"T_e98e2_row0_col6\" class=\"data row0 col6\" >0.971</td>\n",
                            "      <td id=\"T_e98e2_row0_col7\" class=\"data row0 col7\" >0.094</td>\n",
                            "      <td id=\"T_e98e2_row0_col8\" class=\"data row0 col8\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_e98e2_level0_row1\" class=\"row_heading level0 row1\" >SW_2</th>\n",
                            "      <td id=\"T_e98e2_row1_col0\" class=\"data row1 col0\" >HKNA</td>\n",
                            "      <td id=\"T_e98e2_row1_col1\" class=\"data row1 col1\" >386</td>\n",
                            "      <td id=\"T_e98e2_row1_col2\" class=\"data row1 col2\" >-0.100</td>\n",
                            "      <td id=\"T_e98e2_row1_col3\" class=\"data row1 col3\" >0.293</td>\n",
                            "      <td id=\"T_e98e2_row1_col4\" class=\"data row1 col4\" >0.275</td>\n",
                            "      <td id=\"T_e98e2_row1_col5\" class=\"data row1 col5\" >0.214</td>\n",
                            "      <td id=\"T_e98e2_row1_col6\" class=\"data row1 col6\" >0.971</td>\n",
                            "      <td id=\"T_e98e2_row1_col7\" class=\"data row1 col7\" >0.089</td>\n",
                            "      <td id=\"T_e98e2_row1_col8\" class=\"data row1 col8\" >0.934</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880c652d0>"
                        ]
                    },
                    "execution_count": 30,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.sel(observation='HKNA').style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_6e2d6_row0_col1 {\n",
                            "  background-color: #3b4cc0;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e2d6_row0_col2, #T_6e2d6_row1_col2 {\n",
                            "  background-color: #fda872;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row0_col3 {\n",
                            "  background-color: #fee8c9;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row0_col4 {\n",
                            "  background-color: #fdd19b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row0_col5, #T_6e2d6_row2_col5, #T_6e2d6_row3_col2, #T_6e2d6_row3_col3, #T_6e2d6_row3_col4, #T_6e2d6_row3_col6, #T_6e2d6_row3_col7 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e2d6_row0_col6 {\n",
                            "  background-color: #feecd2;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row0_col7 {\n",
                            "  background-color: #fdc28b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row1_col1 {\n",
                            "  background-color: #dcdddd;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_6e2d6_row1_col3 {\n",
                            "  background-color: #fa8656;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e2d6_row1_col4 {\n",
                            "  background-color: #f67a51;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e2d6_row1_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row1_col6 {\n",
                            "  background-color: #f16c4b;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "#T_6e2d6_row1_col7 {\n",
                            "  background-color: #fdad77;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row2_col1 {\n",
                            "  background-color: #89acfd;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_6e2d6_row2_col2, #T_6e2d6_row2_col3, #T_6e2d6_row2_col4, #T_6e2d6_row2_col6, #T_6e2d6_row2_col7, #T_6e2d6_row3_col5 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_6e2d6_row3_col1 {\n",
                            "  background-color: #f7a98b;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_6e2d6\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank\" >&nbsp;</th>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_6e2d6_level0_col0\" class=\"col_heading level0 col0\" >n</th>\n",
                            "      <th id=\"T_6e2d6_level0_col1\" class=\"col_heading level0 col1\" >bias</th>\n",
                            "      <th id=\"T_6e2d6_level0_col2\" class=\"col_heading level0 col2\" >rmse</th>\n",
                            "      <th id=\"T_6e2d6_level0_col3\" class=\"col_heading level0 col3\" >urmse</th>\n",
                            "      <th id=\"T_6e2d6_level0_col4\" class=\"col_heading level0 col4\" >mae</th>\n",
                            "      <th id=\"T_6e2d6_level0_col5\" class=\"col_heading level0 col5\" >cc</th>\n",
                            "      <th id=\"T_6e2d6_level0_col6\" class=\"col_heading level0 col6\" >si</th>\n",
                            "      <th id=\"T_6e2d6_level0_col7\" class=\"col_heading level0 col7\" >r2</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e2d6_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">SW_1</th>\n",
                            "      <th id=\"T_6e2d6_level1_row0\" class=\"row_heading level1 row0\" >HKNA</th>\n",
                            "      <td id=\"T_6e2d6_row0_col0\" class=\"data row0 col0\" >386</td>\n",
                            "      <td id=\"T_6e2d6_row0_col1\" class=\"data row0 col1\" >-0.194</td>\n",
                            "      <td id=\"T_6e2d6_row0_col2\" class=\"data row0 col2\" >0.352</td>\n",
                            "      <td id=\"T_6e2d6_row0_col3\" class=\"data row0 col3\" >0.293</td>\n",
                            "      <td id=\"T_6e2d6_row0_col4\" class=\"data row0 col4\" >0.252</td>\n",
                            "      <td id=\"T_6e2d6_row0_col5\" class=\"data row0 col5\" >0.971</td>\n",
                            "      <td id=\"T_6e2d6_row0_col6\" class=\"data row0 col6\" >0.094</td>\n",
                            "      <td id=\"T_6e2d6_row0_col7\" class=\"data row0 col7\" >0.905</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e2d6_level1_row1\" class=\"row_heading level1 row1\" >c2</th>\n",
                            "      <td id=\"T_6e2d6_row1_col0\" class=\"data row1 col0\" >113</td>\n",
                            "      <td id=\"T_6e2d6_row1_col1\" class=\"data row1 col1\" >-0.001</td>\n",
                            "      <td id=\"T_6e2d6_row1_col2\" class=\"data row1 col2\" >0.352</td>\n",
                            "      <td id=\"T_6e2d6_row1_col3\" class=\"data row1 col3\" >0.352</td>\n",
                            "      <td id=\"T_6e2d6_row1_col4\" class=\"data row1 col4\" >0.295</td>\n",
                            "      <td id=\"T_6e2d6_row1_col5\" class=\"data row1 col5\" >0.974</td>\n",
                            "      <td id=\"T_6e2d6_row1_col6\" class=\"data row1 col6\" >0.128</td>\n",
                            "      <td id=\"T_6e2d6_row1_col7\" class=\"data row1 col7\" >0.900</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e2d6_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">SW_2</th>\n",
                            "      <th id=\"T_6e2d6_level1_row2\" class=\"row_heading level1 row2\" >HKNA</th>\n",
                            "      <td id=\"T_6e2d6_row2_col0\" class=\"data row2 col0\" >386</td>\n",
                            "      <td id=\"T_6e2d6_row2_col1\" class=\"data row2 col1\" >-0.100</td>\n",
                            "      <td id=\"T_6e2d6_row2_col2\" class=\"data row2 col2\" >0.293</td>\n",
                            "      <td id=\"T_6e2d6_row2_col3\" class=\"data row2 col3\" >0.275</td>\n",
                            "      <td id=\"T_6e2d6_row2_col4\" class=\"data row2 col4\" >0.214</td>\n",
                            "      <td id=\"T_6e2d6_row2_col5\" class=\"data row2 col5\" >0.971</td>\n",
                            "      <td id=\"T_6e2d6_row2_col6\" class=\"data row2 col6\" >0.089</td>\n",
                            "      <td id=\"T_6e2d6_row2_col7\" class=\"data row2 col7\" >0.934</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_6e2d6_level1_row3\" class=\"row_heading level1 row3\" >c2</th>\n",
                            "      <td id=\"T_6e2d6_row3_col0\" class=\"data row3 col0\" >113</td>\n",
                            "      <td id=\"T_6e2d6_row3_col1\" class=\"data row3 col1\" >0.081</td>\n",
                            "      <td id=\"T_6e2d6_row3_col2\" class=\"data row3 col2\" >0.430</td>\n",
                            "      <td id=\"T_6e2d6_row3_col3\" class=\"data row3 col3\" >0.422</td>\n",
                            "      <td id=\"T_6e2d6_row3_col4\" class=\"data row3 col4\" >0.357</td>\n",
                            "      <td id=\"T_6e2d6_row3_col5\" class=\"data row3 col5\" >0.974</td>\n",
                            "      <td id=\"T_6e2d6_row3_col6\" class=\"data row3 col6\" >0.153</td>\n",
                            "      <td id=\"T_6e2d6_row3_col7\" class=\"data row3 col7\" >0.850</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880c67c40>"
                        ]
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.sel('rmse>0.25').style()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 32,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style type=\"text/css\">\n",
                            "#T_a8c51_row0_col0 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_a8c51_row0_col1, #T_a8c51_row1_col0 {\n",
                            "  background-color: #fff7ec;\n",
                            "  color: #000000;\n",
                            "  text-decoration: underline;\n",
                            "  font-style: italic;\n",
                            "  font-weight: bold;\n",
                            "}\n",
                            "#T_a8c51_row1_col1 {\n",
                            "  background-color: #fdb07a;\n",
                            "  color: #000000;\n",
                            "}\n",
                            "#T_a8c51_row2_col0, #T_a8c51_row2_col1 {\n",
                            "  background-color: #7f0000;\n",
                            "  color: #f1f1f1;\n",
                            "}\n",
                            "</style>\n",
                            "<table id=\"T_a8c51\">\n",
                            "  <thead>\n",
                            "    <tr>\n",
                            "      <th class=\"blank\" >&nbsp;</th>\n",
                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
                            "      <th id=\"T_a8c51_level0_col0\" class=\"col_heading level0 col0\" >rmse</th>\n",
                            "      <th id=\"T_a8c51_level0_col1\" class=\"col_heading level0 col1\" >mae</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th class=\"index_name level0\" >model</th>\n",
                            "      <th class=\"index_name level1\" >observation</th>\n",
                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th id=\"T_a8c51_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">SW_1</th>\n",
                            "      <th id=\"T_a8c51_level1_row0\" class=\"row_heading level1 row0\" >HKNA</th>\n",
                            "      <td id=\"T_a8c51_row0_col0\" class=\"data row0 col0\" >0.352</td>\n",
                            "      <td id=\"T_a8c51_row0_col1\" class=\"data row0 col1\" >0.252</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_a8c51_level1_row1\" class=\"row_heading level1 row1\" >c2</th>\n",
                            "      <td id=\"T_a8c51_row1_col0\" class=\"data row1 col0\" >0.352</td>\n",
                            "      <td id=\"T_a8c51_row1_col1\" class=\"data row1 col1\" >0.295</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th id=\"T_a8c51_level0_row2\" class=\"row_heading level0 row2\" >SW_2</th>\n",
                            "      <th id=\"T_a8c51_level1_row2\" class=\"row_heading level1 row2\" >c2</th>\n",
                            "      <td id=\"T_a8c51_row2_col0\" class=\"data row2 col0\" >0.430</td>\n",
                            "      <td id=\"T_a8c51_row2_col1\" class=\"data row2 col1\" >0.357</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n"
                        ],
                        "text/plain": [
                            "<pandas.io.formats.style.Styler at 0x20880c09240>"
                        ]
                    },
                    "execution_count": 32,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "s.sel('rmse>0.3', columns=['rmse','mae']).style()"
            ]
        }
    ],
    "metadata": {
        "interpreter": {
            "hash": "fa576ebcd40e010bdc0ae86b06ce09151f3424f9e9aed6893ff04f39a9299d89"
        },
        "kernelspec": {
            "display_name": "Python 3 (ipykernel)",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.10.12"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}