Example_ISO_prob.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# How to use iso-probabilistic transformations to obtain weather-corrleated spot markets with a desired distribution"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Install hydesign if needed\n",
                "import importlib\n",
                "if not importlib.util.find_spec(\"hydesign\"):\n",
                "    !pip install git+https://gitlab.windenergy.dtu.dk/TOPFARM/hydesign.git   "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "import numpy as np\n",
                "from numpy import newaxis as na\n",
                "import pandas as pd\n",
                "import scipy\n",
                "from statsmodels.distributions.empirical_distribution import ECDF, monotone_fn_inverter\n",
                "from hydesign.weather.weather import isoprob_transfrom\n",
                "from hydesign.examples import examples_filepath"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>WS_1</th>\n",
                            "      <th>WS_50</th>\n",
                            "      <th>WS_100</th>\n",
                            "      <th>WS_150</th>\n",
                            "      <th>WS_200</th>\n",
                            "      <th>WD_1</th>\n",
                            "      <th>WD_50</th>\n",
                            "      <th>WD_100</th>\n",
                            "      <th>WD_150</th>\n",
                            "      <th>WD_200</th>\n",
                            "      <th>temp_air_1</th>\n",
                            "      <th>ghi</th>\n",
                            "      <th>dni</th>\n",
                            "      <th>dhi</th>\n",
                            "      <th>Price</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>2012-01-01 00:00:00</th>\n",
                            "      <td>2.810816</td>\n",
                            "      <td>6.582182</td>\n",
                            "      <td>7.993129</td>\n",
                            "      <td>8.112989</td>\n",
                            "      <td>9.236903</td>\n",
                            "      <td>166.346357</td>\n",
                            "      <td>168.595724</td>\n",
                            "      <td>170.888214</td>\n",
                            "      <td>173.593446</td>\n",
                            "      <td>175.457612</td>\n",
                            "      <td>275.686735</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>31.558</td>\n",
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                            "    <tr>\n",
                            "      <th>2012-01-01 01:00:00</th>\n",
                            "      <td>2.904450</td>\n",
                            "      <td>6.810934</td>\n",
                            "      <td>8.275190</td>\n",
                            "      <td>8.356479</td>\n",
                            "      <td>9.566073</td>\n",
                            "      <td>169.298921</td>\n",
                            "      <td>171.004601</td>\n",
                            "      <td>172.747782</td>\n",
                            "      <td>175.411415</td>\n",
                            "      <td>176.846748</td>\n",
                            "      <td>275.846921</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>31.558</td>\n",
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                            "    <tr>\n",
                            "      <th>2012-01-01 02:00:00</th>\n",
                            "      <td>2.991752</td>\n",
                            "      <td>6.987023</td>\n",
                            "      <td>8.481921</td>\n",
                            "      <td>8.563847</td>\n",
                            "      <td>9.907062</td>\n",
                            "      <td>170.332390</td>\n",
                            "      <td>172.071325</td>\n",
                            "      <td>173.846343</td>\n",
                            "      <td>176.856068</td>\n",
                            "      <td>178.182438</td>\n",
                            "      <td>275.908146</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>31.558</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-01-01 03:00:00</th>\n",
                            "      <td>3.081025</td>\n",
                            "      <td>7.153487</td>\n",
                            "      <td>8.673896</td>\n",
                            "      <td>8.668350</td>\n",
                            "      <td>10.113215</td>\n",
                            "      <td>172.369415</td>\n",
                            "      <td>174.117329</td>\n",
                            "      <td>175.900884</td>\n",
                            "      <td>179.006964</td>\n",
                            "      <td>180.215424</td>\n",
                            "      <td>275.985910</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>31.558</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-01-01 04:00:00</th>\n",
                            "      <td>3.032618</td>\n",
                            "      <td>7.087701</td>\n",
                            "      <td>8.604443</td>\n",
                            "      <td>8.657067</td>\n",
                            "      <td>10.226668</td>\n",
                            "      <td>176.961308</td>\n",
                            "      <td>179.096749</td>\n",
                            "      <td>181.275850</td>\n",
                            "      <td>185.728569</td>\n",
                            "      <td>187.114208</td>\n",
                            "      <td>276.139611</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>31.558</td>\n",
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                            "    <tr>\n",
                            "      <th>...</th>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
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                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
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                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-12-30 19:00:00</th>\n",
                            "      <td>4.346459</td>\n",
                            "      <td>9.731132</td>\n",
                            "      <td>11.725017</td>\n",
                            "      <td>11.833588</td>\n",
                            "      <td>13.738749</td>\n",
                            "      <td>232.070531</td>\n",
                            "      <td>233.096306</td>\n",
                            "      <td>234.139569</td>\n",
                            "      <td>235.862549</td>\n",
                            "      <td>236.381657</td>\n",
                            "      <td>276.787589</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>34.992</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-12-30 20:00:00</th>\n",
                            "      <td>4.351285</td>\n",
                            "      <td>9.781253</td>\n",
                            "      <td>11.793128</td>\n",
                            "      <td>11.924614</td>\n",
                            "      <td>13.851638</td>\n",
                            "      <td>236.280844</td>\n",
                            "      <td>237.063277</td>\n",
                            "      <td>237.866713</td>\n",
                            "      <td>239.526916</td>\n",
                            "      <td>239.919572</td>\n",
                            "      <td>276.550026</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>33.135</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-12-30 21:00:00</th>\n",
                            "      <td>4.131801</td>\n",
                            "      <td>9.349829</td>\n",
                            "      <td>11.286007</td>\n",
                            "      <td>11.395169</td>\n",
                            "      <td>13.252576</td>\n",
                            "      <td>234.027128</td>\n",
                            "      <td>235.111454</td>\n",
                            "      <td>236.219895</td>\n",
                            "      <td>237.857080</td>\n",
                            "      <td>238.418164</td>\n",
                            "      <td>276.707764</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>32.290</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-12-30 22:00:00</th>\n",
                            "      <td>4.226335</td>\n",
                            "      <td>9.590430</td>\n",
                            "      <td>11.581791</td>\n",
                            "      <td>11.705639</td>\n",
                            "      <td>13.626405</td>\n",
                            "      <td>231.547924</td>\n",
                            "      <td>233.116758</td>\n",
                            "      <td>234.719448</td>\n",
                            "      <td>236.786499</td>\n",
                            "      <td>237.542031</td>\n",
                            "      <td>276.996122</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>30.990</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2012-12-30 23:00:00</th>\n",
                            "      <td>4.142047</td>\n",
                            "      <td>9.416042</td>\n",
                            "      <td>11.376241</td>\n",
                            "      <td>11.520482</td>\n",
                            "      <td>13.401961</td>\n",
                            "      <td>234.196810</td>\n",
                            "      <td>235.697595</td>\n",
                            "      <td>237.226551</td>\n",
                            "      <td>239.410625</td>\n",
                            "      <td>240.209847</td>\n",
                            "      <td>277.489206</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>29.739</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "<p>8760 rows \u00d7 15 columns</p>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                         WS_1     WS_50     WS_100     WS_150     WS_200  \\\n",
                            "2012-01-01 00:00:00  2.810816  6.582182   7.993129   8.112989   9.236903   \n",
                            "2012-01-01 01:00:00  2.904450  6.810934   8.275190   8.356479   9.566073   \n",
                            "2012-01-01 02:00:00  2.991752  6.987023   8.481921   8.563847   9.907062   \n",
                            "2012-01-01 03:00:00  3.081025  7.153487   8.673896   8.668350  10.113215   \n",
                            "2012-01-01 04:00:00  3.032618  7.087701   8.604443   8.657067  10.226668   \n",
                            "...                       ...       ...        ...        ...        ...   \n",
                            "2012-12-30 19:00:00  4.346459  9.731132  11.725017  11.833588  13.738749   \n",
                            "2012-12-30 20:00:00  4.351285  9.781253  11.793128  11.924614  13.851638   \n",
                            "2012-12-30 21:00:00  4.131801  9.349829  11.286007  11.395169  13.252576   \n",
                            "2012-12-30 22:00:00  4.226335  9.590430  11.581791  11.705639  13.626405   \n",
                            "2012-12-30 23:00:00  4.142047  9.416042  11.376241  11.520482  13.401961   \n",
                            "\n",
                            "                           WD_1       WD_50      WD_100      WD_150  \\\n",
                            "2012-01-01 00:00:00  166.346357  168.595724  170.888214  173.593446   \n",
                            "2012-01-01 01:00:00  169.298921  171.004601  172.747782  175.411415   \n",
                            "2012-01-01 02:00:00  170.332390  172.071325  173.846343  176.856068   \n",
                            "2012-01-01 03:00:00  172.369415  174.117329  175.900884  179.006964   \n",
                            "2012-01-01 04:00:00  176.961308  179.096749  181.275850  185.728569   \n",
                            "...                         ...         ...         ...         ...   \n",
                            "2012-12-30 19:00:00  232.070531  233.096306  234.139569  235.862549   \n",
                            "2012-12-30 20:00:00  236.280844  237.063277  237.866713  239.526916   \n",
                            "2012-12-30 21:00:00  234.027128  235.111454  236.219895  237.857080   \n",
                            "2012-12-30 22:00:00  231.547924  233.116758  234.719448  236.786499   \n",
                            "2012-12-30 23:00:00  234.196810  235.697595  237.226551  239.410625   \n",
                            "\n",
                            "                         WD_200  temp_air_1  ghi  dni  dhi   Price  \n",
                            "2012-01-01 00:00:00  175.457612  275.686735  0.0  0.0  0.0  31.558  \n",
                            "2012-01-01 01:00:00  176.846748  275.846921  0.0  0.0  0.0  31.558  \n",
                            "2012-01-01 02:00:00  178.182438  275.908146  0.0  0.0  0.0  31.558  \n",
                            "2012-01-01 03:00:00  180.215424  275.985910  0.0  0.0  0.0  31.558  \n",
                            "2012-01-01 04:00:00  187.114208  276.139611  0.0  0.0  0.0  31.558  \n",
                            "...                         ...         ...  ...  ...  ...     ...  \n",
                            "2012-12-30 19:00:00  236.381657  276.787589  0.0  0.0  0.0  34.992  \n",
                            "2012-12-30 20:00:00  239.919572  276.550026  0.0  0.0  0.0  33.135  \n",
                            "2012-12-30 21:00:00  238.418164  276.707764  0.0  0.0  0.0  32.290  \n",
                            "2012-12-30 22:00:00  237.542031  276.996122  0.0  0.0  0.0  30.990  \n",
                            "2012-12-30 23:00:00  240.209847  277.489206  0.0  0.0  0.0  29.739  \n",
                            "\n",
                            "[8760 rows x 15 columns]"
                        ]
                    },
                    "execution_count": 2,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "inputs = pd.read_csv(examples_filepath+'Europe/GWA2/input_ts_Denmark_good_solar.csv',\n",
                "                    index_col=0, parse_dates = True)\n",
                "inputs"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## 1. Sample a target distrubtion, the number of samples can be different between input data and desired distribution"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": [
                "#y_desired = np.random.normal(size=int(1e6)) * 5 + 35\n",
                "\n",
                "y_desired = np.random.weibull(a=2, size=int(1e6)) * 25 + 18"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [],
            "source": [
                "y_ISO = isoprob_transfrom(y_input=inputs.Price.values, y_desired=y_desired)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [],
            "source": [
                "from matplotlib import pyplot as plt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\n"
                    ]
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "inputs.Price.hist(bins=100, histtype='step', density=True, label = 'SM input')\n",
                "plt.hist(y_desired,bins=100, histtype='step', density=True, label = 'Desired PDF')\n",
                "plt.hist(y_ISO,bins=100, histtype='step', density=True, label = 'SM ISO transformed')\n",
                "plt.xlabel('SM [EUR/MW.h]')\n",
                "plt.ylabel('PDF(SM)')\n",
                "plt.legend()\n",
                "print()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [],
            "source": [
                "inputs['SM_ISO'] = y_ISO"
            ]
        },
        {
            "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>Price</th>\n",
                            "      <th>SM_ISO</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>count</th>\n",
                            "      <td>8760.000000</td>\n",
                            "      <td>8760.000000</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>mean</th>\n",
                            "      <td>39.597426</td>\n",
                            "      <td>40.174787</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>std</th>\n",
                            "      <td>14.988624</td>\n",
                            "      <td>11.607516</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>min</th>\n",
                            "      <td>3.946000</td>\n",
                            "      <td>19.538660</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>25%</th>\n",
                            "      <td>32.804000</td>\n",
                            "      <td>31.435186</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>50%</th>\n",
                            "      <td>35.428500</td>\n",
                            "      <td>38.823464</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>75%</th>\n",
                            "      <td>41.028500</td>\n",
                            "      <td>47.430262</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>max</th>\n",
                            "      <td>127.491000</td>\n",
                            "      <td>123.075336</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "             Price       SM_ISO\n",
                            "count  8760.000000  8760.000000\n",
                            "mean     39.597426    40.174787\n",
                            "std      14.988624    11.607516\n",
                            "min       3.946000    19.538660\n",
                            "25%      32.804000    31.435186\n",
                            "50%      35.428500    38.823464\n",
                            "75%      41.028500    47.430262\n",
                            "max     127.491000   123.075336"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "inputs.loc[:,['Price','SM_ISO']].describe()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\n"
                    ]
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "inputs.Price.plot(label = 'SM input')\n",
                "inputs.SM_ISO.plot(alpha=0.5, label = 'SM ISO transformed')\n",
                "plt.ylabel('SM [EUR/MW.h]')\n",
                "plt.xlabel('time')\n",
                "plt.legend()\n",
                "print()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "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>WS_100</th>\n",
                            "      <th>Price</th>\n",
                            "      <th>SM_ISO</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>WS_100</th>\n",
                            "      <td>1.000000</td>\n",
                            "      <td>-0.272191</td>\n",
                            "      <td>-0.289774</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Price</th>\n",
                            "      <td>-0.272191</td>\n",
                            "      <td>1.000000</td>\n",
                            "      <td>0.914459</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SM_ISO</th>\n",
                            "      <td>-0.289774</td>\n",
                            "      <td>0.914459</td>\n",
                            "      <td>1.000000</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "          WS_100     Price    SM_ISO\n",
                            "WS_100  1.000000 -0.272191 -0.289774\n",
                            "Price  -0.272191  1.000000  0.914459\n",
                            "SM_ISO -0.289774  0.914459  1.000000"
                        ]
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "inputs.loc[:,['WS_100','Price','SM_ISO']].corr()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "C:\\Users\\mikf\\AppData\\Local\\Temp\\ipykernel_25112\\3396294946.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
                        "  inputs_grp = inputs.groupby('ws_bin').mean()\n"
                    ]
                }
            ],
            "source": [
                "inputs['ws_bin'] = pd.cut(inputs.WS_100, bins=np.arange(0,20,1))\n",
                "\n",
                "inputs_grp = inputs.groupby('ws_bin').mean()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\n"
                    ]
                },
                {
                    "data": {
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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "\n",
                "plt.plot(inputs_grp.WS_100.values, inputs_grp.Price.values, label = 'SM input')\n",
                "plt.plot(inputs_grp.WS_100.values, inputs_grp.SM_ISO.values, label = 'SM ISO transformed')\n",
                "plt.legend()\n",
                "\n",
                "plt.ylabel(r'E(SM|WS_10) [EUR/MW.h]')\n",
                "plt.xlabel('WS_10 [m/s]')\n",
                "\n",
                "print()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [],
            "source": [
                "import scipy.stats as st\n",
                "def kde_plot(\n",
                "    x,y,\n",
                "    ax,\n",
                "    c='k',\n",
                "    levels = [1e-5, 5e-5, 1e-4, 5e-4],\n",
                "    fmt = '%1.0e',\n",
                "    label = None\n",
                "    ):\n",
                "    xmin = np.min(x) \n",
                "    xmax = np.max(x)\n",
                "    ymin = np.min(y) \n",
                "    ymax = np.max(y)\n",
                "\n",
                "    # Peform the kernel density estimate\n",
                "    xx, yy = np.mgrid[xmin:xmax:100j, ymin:ymax:100j]\n",
                "    positions = np.vstack([xx.ravel(), yy.ravel()])\n",
                "    values = np.vstack([x, y])\n",
                "    kernel = st.gaussian_kde(values)\n",
                "    f = np.reshape(kernel(positions).T, xx.shape)\n",
                "\n",
                "    ax.set_xlim(xmin, xmax)\n",
                "    ax.set_ylim(ymin, ymax)\n",
                "    \n",
                "    # Contour plot\n",
                "    cset = ax.contour(xx, yy, f, levels=levels, colors=c)\n",
                "    if label != None:\n",
                "        cset.collections[0].set_label(label) \n",
                "    # iso-prob labels on lines\n",
                "    ax.clabel(cset, inline=1, fontsize=10, fmt = fmt)\n",
                "    "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "C:\\Users\\mikf\\AppData\\Local\\Temp\\ipykernel_25112\\211853886.py:28: MatplotlibDeprecationWarning: The collections attribute was deprecated in Matplotlib 3.8 and will be removed in 3.10.\n",
                        "  cset.collections[0].set_label(label)\n",
                        "C:\\Users\\mikf\\AppData\\Local\\Temp\\ipykernel_25112\\3444667699.py:5: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
                        "  plt.legend()\n"
                    ]
                },
                {
                    "data": {
                        "text/plain": [
                            "Text(0.5, 0, 'WS_10 [m/s]')"
                        ]
                    },
                    "execution_count": 14,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "fig = plt.figure()\n",
                "ax = fig.add_subplot(111)\n",
                "kde_plot(x=inputs.WS_100.values, y=inputs.Price.values, ax=ax, levels = [1e-5, 1e-4, 1e-3], c='C0', label='SM ISO transformed')\n",
                "kde_plot(x=inputs.WS_100.values, y=inputs.SM_ISO.values, ax=ax, levels = [1e-5, 1e-4, 1e-3], c='C1', label='SM input')\n",
                "plt.legend()\n",
                "plt.title('Iso probability countours')\n",
                "plt.ylabel('SM [EUR/MW.h]')\n",
                "plt.xlabel('WS_10 [m/s]')    "
            ]
        }
    ],
    "metadata": {
        "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": "3.11.9"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 4
}