US_CarbonEmission_granular_powergen.ipynb

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      "name": "US_CarbonEmission_granular_powergen.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPf6vCJgBVwZ1jp5qbdjVoQ",
      "include_colab_link": true
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      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/renewable-energy-experiments/carbonfoorprint/blob/master/US_CarbonEmission_granular_powergen.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qoy7C-2K_VdY"
      },
      "source": [
        "<h1><center> US electricity generation by energy source ( price , co2 emission by grids)<center><h1> \n",
        "  High granularity Power generation CA ISO ( California) "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UAG4GYl1_d3H"
      },
      "source": [
        "# Table of Contents\n",
        "* [1. DataSet Description](#section-one)\n",
        "* [2. Plot Generation graph](#section-two)\n",
        "* [3. Plot Carbon Emission graph](#section-three)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Itm_n0uPOTZD"
      },
      "source": [
        "import os\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import datetime\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go\n",
        "import matplotlib.dates as mdates \n",
        "xformatter = mdates.DateFormatter('%H:%M') # for time axis plots\n",
        "\n",
        "# import plotly.offline as py\n",
        "# py.init_notebook_mode(connected=True)\n",
        "\n",
        "import sklearn\n",
        "from scipy.optimize import curve_fit\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mQ89WJCF_hwp"
      },
      "source": [
        "<a id=\"section-one\"></a>\n",
        "# 1. DataSet Description\n",
        "\n",
        "Dataset is weekly reports from EDA  for CA ISO"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "Gx95-URU_bcn",
        "outputId": "c5dc74bf-cfe7-4f69-cd77-21a9e2cc4aed"
      },
      "source": [
        "# Import generation  data \n",
        "df = pd.read_csv(\"/content/CA ISO_2020-09-07.csv\")\n",
        "df.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\n",
              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Solar</th>\n",
              "      <th>NaturalGas</th>\n",
              "      <th>Hydro</th>\n",
              "      <th>Nuclear</th>\n",
              "      <th>Coal</th>\n",
              "      <th>Other</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>DATE</th>\n",
              "      <th>TIME</th>\n",
              "      <th>HOURS</th>\n",
              "      <th>MINUTES</th>\n",
              "      <th>MINUTES_PASS</th>\n",
              "      <th>Wind</th>\n",
              "      <th>Oil</th>\n",
              "      <th>total_generation</th>\n",
              "      <th>Timestamp (Unix)</th>\n",
              "      <th>total_generation(W)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6086.0</td>\n",
              "      <td>8045.0</td>\n",
              "      <td>1804.0</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:00:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:00:00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18220.0</td>\n",
              "      <td>1599436800</td>\n",
              "      <td>1.822000e+10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6084.4</td>\n",
              "      <td>7960.4</td>\n",
              "      <td>1798.2</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:01:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:01:00</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18127.8</td>\n",
              "      <td>1599436860</td>\n",
              "      <td>1.812780e+10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6082.8</td>\n",
              "      <td>7875.8</td>\n",
              "      <td>1792.4</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.6</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:02:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:02:00</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18035.6</td>\n",
              "      <td>1599436920</td>\n",
              "      <td>1.803560e+10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6081.2</td>\n",
              "      <td>7791.2</td>\n",
              "      <td>1786.6</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:03:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:03:00</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17943.4</td>\n",
              "      <td>1599436980</td>\n",
              "      <td>1.794340e+10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6079.6</td>\n",
              "      <td>7706.6</td>\n",
              "      <td>1780.8</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:04:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:04:00</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17851.2</td>\n",
              "      <td>1599437040</td>\n",
              "      <td>1.785120e+10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Solar  NaturalGas  ...  Timestamp (Unix)  total_generation(W)\n",
              "0  6086.0      8045.0  ...        1599436800         1.822000e+10\n",
              "1  6084.4      7960.4  ...        1599436860         1.812780e+10\n",
              "2  6082.8      7875.8  ...        1599436920         1.803560e+10\n",
              "3  6081.2      7791.2  ...        1599436980         1.794340e+10\n",
              "4  6079.6      7706.6  ...        1599437040         1.785120e+10\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "a-o4PHH0NrRT",
        "outputId": "435c373f-0bfa-4e9e-a3fc-7dd44257042d"
      },
      "source": [
        "df_carbon = pd.read_csv(\"/content/US Utility grids - LCOE, Co2 Emissions - Carbon3.csv\")\n",
        "df_carbon"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\n",
              "\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Fuel Type</th>\n",
              "      <th>Lifecycle emissions (gCO2eq/kWh)</th>\n",
              "      <th>Lifecycle emissions (kgCO2eq/MWh)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Nuclear</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Hydro</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Wind</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Solar</td>\n",
              "      <td>48</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaturalGas</td>\n",
              "      <td>490</td>\n",
              "      <td>490</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Oil</td>\n",
              "      <td>490</td>\n",
              "      <td>490</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Coal</td>\n",
              "      <td>820</td>\n",
              "      <td>820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Other</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Fuel Type  ...  Lifecycle emissions (kgCO2eq/MWh)\n",
              "0     Nuclear  ...                                 12\n",
              "1       Hydro  ...                                 24\n",
              "2        Wind  ...                                 12\n",
              "3       Solar  ...                                 48\n",
              "4  NaturalGas  ...                                490\n",
              "5         Oil  ...                                490\n",
              "6        Coal  ...                                820\n",
              "7       Other  ...                                 24\n",
              "\n",
              "[8 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GHY3dYrmOeP6"
      },
      "source": [
        "Region=\"CA ISO\""
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6zEFpLCe5ogz"
      },
      "source": [
        "<a id=\"section-two\"></a>\n",
        "# 2. Plot Generation graph"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_FY2_YI5-SC"
      },
      "source": [
        "column_list_gen = (\"Wind\",\"Solar\",\"Hydro\",\"Nuclear\", \"Other\", \n",
        "                \"NaturalGas\",\"Oil\",\"Coal\",\"total_generation\")"
      ],
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "Cak47qzp5rSo",
        "outputId": "89f6aa93-3dd0-4e48-f4f7-b9ffd9b9a1b5"
      },
      "source": [
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "\n",
        "sub_df.plot.line(x='MINUTES_PASS', y = np.array(column_list_gen), ax = ax, title = \"Fuel Mix for generation in \"+ Region + \" on \"+ pp, legend=False)\n",
        "\n",
        "ax.set_ylabel(\"generation(Mw)\")\n",
        "\n",
        "mean_gen = round(sub_df[\"total_generation\"].mean())\n",
        "max_gen = sub_df[\"total_generation\"].max()\n",
        "maxh = sub_df.loc[sub_df[\"total_generation\"]== max_gen]\n",
        "maxh = maxh[\"MINUTES_PASS\"]\n",
        "ax.axhline(y=mean_gen, xmin=-1, xmax=1, color='r', linestyle='--', lw=2)\n",
        "\n",
        "ax.text(5,mean_gen+1000, \"Mean \" + str(mean_gen) + \"(MW)\" )\n",
        "\n",
        "#     ax.get_legend().remove()\n",
        "\n",
        "ax.annotate('Peak '+ str(max_gen)+ \"(MWh)\", xy=(maxh,max_gen), xytext=(maxh+1, max_gen+1000),\n",
        "          arrowprops=dict(arrowstyle='-|>') ,ha='left', rotation=0)\n",
        "\n",
        "ax.set_ylim(bottom = 0,top=39000)\n",
        "    \n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a546ef10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "id": "Nsb_pOcWOvJ9",
        "outputId": "958f3d55-9369-41ba-c47c-6a6e48f10c76"
      },
      "source": [
        "for col in df.columns:\n",
        "    # print(df[col])\n",
        "    for j,carbon in df_carbon.iterrows():\n",
        "        if col in carbon[0]:\n",
        "            print(\"Match between two tables for \"+col+ \" and \"+ carbon[0] +\" - \"+ str(carbon[1]))\n",
        "            df['carbon_'+col] = df[col] * carbon[1]\n",
        "            \n",
        "df.head()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Match between two tables for Solar and Solar - 48\n",
            "Match between two tables for NaturalGas and NaturalGas - 490\n",
            "Match between two tables for Hydro and Hydro - 24\n",
            "Match between two tables for Nuclear and Nuclear - 12\n",
            "Match between two tables for Coal and Coal - 820\n",
            "Match between two tables for Other and Other - 24\n",
            "Match between two tables for Wind and Wind - 12\n",
            "Match between two tables for Oil and Oil - 490\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Solar</th>\n",
              "      <th>NaturalGas</th>\n",
              "      <th>Hydro</th>\n",
              "      <th>Nuclear</th>\n",
              "      <th>Coal</th>\n",
              "      <th>Other</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>DATE</th>\n",
              "      <th>TIME</th>\n",
              "      <th>HOURS</th>\n",
              "      <th>MINUTES</th>\n",
              "      <th>MINUTES_PASS</th>\n",
              "      <th>Wind</th>\n",
              "      <th>Oil</th>\n",
              "      <th>total_generation</th>\n",
              "      <th>Timestamp (Unix)</th>\n",
              "      <th>total_generation(W)</th>\n",
              "      <th>carbon_Solar</th>\n",
              "      <th>carbon_NaturalGas</th>\n",
              "      <th>carbon_Hydro</th>\n",
              "      <th>carbon_Nuclear</th>\n",
              "      <th>carbon_Coal</th>\n",
              "      <th>carbon_Other</th>\n",
              "      <th>carbon_Wind</th>\n",
              "      <th>carbon_Oil</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6086.0</td>\n",
              "      <td>8045.0</td>\n",
              "      <td>1804.0</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:00:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:00:00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18220.0</td>\n",
              "      <td>1599436800</td>\n",
              "      <td>1.822000e+10</td>\n",
              "      <td>292128.0</td>\n",
              "      <td>3942050.0</td>\n",
              "      <td>43296.0</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10660.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6084.4</td>\n",
              "      <td>7960.4</td>\n",
              "      <td>1798.2</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:01:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:01:00</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18127.8</td>\n",
              "      <td>1599436860</td>\n",
              "      <td>1.812780e+10</td>\n",
              "      <td>292051.2</td>\n",
              "      <td>3900596.0</td>\n",
              "      <td>43156.8</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10496.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6082.8</td>\n",
              "      <td>7875.8</td>\n",
              "      <td>1792.4</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.6</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:02:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:02:00</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18035.6</td>\n",
              "      <td>1599436920</td>\n",
              "      <td>1.803560e+10</td>\n",
              "      <td>291974.4</td>\n",
              "      <td>3859142.0</td>\n",
              "      <td>43017.6</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10332.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6081.2</td>\n",
              "      <td>7791.2</td>\n",
              "      <td>1786.6</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:03:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:03:00</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17943.4</td>\n",
              "      <td>1599436980</td>\n",
              "      <td>1.794340e+10</td>\n",
              "      <td>291897.6</td>\n",
              "      <td>3817688.0</td>\n",
              "      <td>42878.4</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10168.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6079.6</td>\n",
              "      <td>7706.6</td>\n",
              "      <td>1780.8</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:04:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:04:00</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17851.2</td>\n",
              "      <td>1599437040</td>\n",
              "      <td>1.785120e+10</td>\n",
              "      <td>291820.8</td>\n",
              "      <td>3776234.0</td>\n",
              "      <td>42739.2</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10004.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Solar  NaturalGas   Hydro  ...  carbon_Other  carbon_Wind  carbon_Oil\n",
              "0  6086.0      8045.0  1804.0  ...           0.0          0.0         0.0\n",
              "1  6084.4      7960.4  1798.2  ...           0.0          0.0         0.0\n",
              "2  6082.8      7875.8  1792.4  ...           0.0          0.0         0.0\n",
              "3  6081.2      7791.2  1786.6  ...           0.0          0.0         0.0\n",
              "4  6079.6      7706.6  1780.8  ...           0.0          0.0         0.0\n",
              "\n",
              "[5 rows x 25 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "id": "MjEsuMdZ0zw0",
        "outputId": "171c49a6-3ce4-483c-d5ca-e45166ef9ab0"
      },
      "source": [
        "df['carbon_total_emission']= df[\"carbon_Wind\"] + df[\"carbon_Solar\"]+ df[\"carbon_Hydro\"] + df[\"carbon_Other\"]+ df[\"carbon_Oil\"] + df[\"carbon_NaturalGas\"] + df[\"carbon_Coal\"]+ df[\"carbon_Nuclear\"]\n",
        "df.head()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Solar</th>\n",
              "      <th>NaturalGas</th>\n",
              "      <th>Hydro</th>\n",
              "      <th>Nuclear</th>\n",
              "      <th>Coal</th>\n",
              "      <th>Other</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>DATE</th>\n",
              "      <th>TIME</th>\n",
              "      <th>HOURS</th>\n",
              "      <th>MINUTES</th>\n",
              "      <th>MINUTES_PASS</th>\n",
              "      <th>Wind</th>\n",
              "      <th>Oil</th>\n",
              "      <th>total_generation</th>\n",
              "      <th>Timestamp (Unix)</th>\n",
              "      <th>total_generation(W)</th>\n",
              "      <th>carbon_Solar</th>\n",
              "      <th>carbon_NaturalGas</th>\n",
              "      <th>carbon_Hydro</th>\n",
              "      <th>carbon_Nuclear</th>\n",
              "      <th>carbon_Coal</th>\n",
              "      <th>carbon_Other</th>\n",
              "      <th>carbon_Wind</th>\n",
              "      <th>carbon_Oil</th>\n",
              "      <th>carbon_total_emission</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6086.0</td>\n",
              "      <td>8045.0</td>\n",
              "      <td>1804.0</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:00:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:00:00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18220.0</td>\n",
              "      <td>1599436800</td>\n",
              "      <td>1.822000e+10</td>\n",
              "      <td>292128.0</td>\n",
              "      <td>3942050.0</td>\n",
              "      <td>43296.0</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10660.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4315398.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6084.4</td>\n",
              "      <td>7960.4</td>\n",
              "      <td>1798.2</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:01:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:01:00</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18127.8</td>\n",
              "      <td>1599436860</td>\n",
              "      <td>1.812780e+10</td>\n",
              "      <td>292051.2</td>\n",
              "      <td>3900596.0</td>\n",
              "      <td>43156.8</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10496.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4273564.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6082.8</td>\n",
              "      <td>7875.8</td>\n",
              "      <td>1792.4</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.6</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:02:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:02:00</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18035.6</td>\n",
              "      <td>1599436920</td>\n",
              "      <td>1.803560e+10</td>\n",
              "      <td>291974.4</td>\n",
              "      <td>3859142.0</td>\n",
              "      <td>43017.6</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10332.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4231730.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6081.2</td>\n",
              "      <td>7791.2</td>\n",
              "      <td>1786.6</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:03:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:03:00</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17943.4</td>\n",
              "      <td>1599436980</td>\n",
              "      <td>1.794340e+10</td>\n",
              "      <td>291897.6</td>\n",
              "      <td>3817688.0</td>\n",
              "      <td>42878.4</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10168.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4189896.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6079.6</td>\n",
              "      <td>7706.6</td>\n",
              "      <td>1780.8</td>\n",
              "      <td>2272.0</td>\n",
              "      <td>12.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-09-07 00:04:00</td>\n",
              "      <td>2020-09-07</td>\n",
              "      <td>00:04:00</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17851.2</td>\n",
              "      <td>1599437040</td>\n",
              "      <td>1.785120e+10</td>\n",
              "      <td>291820.8</td>\n",
              "      <td>3776234.0</td>\n",
              "      <td>42739.2</td>\n",
              "      <td>27264.0</td>\n",
              "      <td>10004.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4148062.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Solar  NaturalGas   Hydro  ...  carbon_Wind  carbon_Oil  carbon_total_emission\n",
              "0  6086.0      8045.0  1804.0  ...          0.0         0.0              4315398.0\n",
              "1  6084.4      7960.4  1798.2  ...          0.0         0.0              4273564.0\n",
              "2  6082.8      7875.8  1792.4  ...          0.0         0.0              4231730.0\n",
              "3  6081.2      7791.2  1786.6  ...          0.0         0.0              4189896.0\n",
              "4  6079.6      7706.6  1780.8  ...          0.0         0.0              4148062.0\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HmuYArKivgpK"
      },
      "source": [
        "<a id=\"section-three\"></a>\n",
        "# 3. Plot Carbon graphs"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZHJG96xAv0US"
      },
      "source": [
        "column_list = (\"carbon_Wind\",\"carbon_Solar\",\"carbon_Hydro\",\"carbon_Nuclear\", \"carbon_Other\", \n",
        "                \"carbon_NaturalGas\",\"carbon_Oil\",\"carbon_Coal\",\"carbon_total_emission\")"
      ],
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EYjlAv6ZwghS",
        "outputId": "827e748c-1b3d-4393-f1dd-1b3bc4242d3a"
      },
      "source": [
        "dates = df['DATE'].unique()\n",
        "dates"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['2020-09-07'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "0kvbA_qu3CUT",
        "outputId": "4861ec86-3311-4688-cd56-a3f910c19e4f"
      },
      "source": [
        "import seaborn as sns\n",
        "cmap = sns.color_palette(\"gray_r\", n_colors=9)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "df.plot(x='MINUTES_PASS', y = np.array(column_list), ax = ax, \n",
        "             color=cmap, \n",
        "              # kind='area', stacked=False,\n",
        "              title = \"Carbon Emission by Fuel for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "ax.set_ylabel(\"Carbon Emission (kgCO2eq/MWh)\")   \n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a6484610>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "kQIhDn1u4Day",
        "outputId": "ec22f60b-3c6f-489d-b32d-ac07f252b14c"
      },
      "source": [
        "import seaborn as sns\n",
        "cmap = sns.color_palette(\"gray_r\", n_colors=9)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "df[200:600].plot(x='MINUTES_PASS', y = np.array(column_list), ax = ax, \n",
        "             color=cmap, \n",
        "              # kind='area', stacked=False,\n",
        "              title = \"Carbon Emission by Fuel for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "ax.set_ylabel(\"Carbon Emission (kgCO2eq/MWh)\")   \n",
        "# ax.set_ylim(bottom = 0,top=50000)\n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a586b750>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "LhPZ6OYQ8EO2",
        "outputId": "86737dc8-d6ad-489f-ad52-a7f8920ff1c1"
      },
      "source": [
        "import seaborn as sns\n",
        "cmap = sns.color_palette(\"Blues_r\", n_colors=4)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "df.plot(x='MINUTES_PASS', y = np.array(column_list)[0:4], ax = ax, \n",
        "             color=cmap, \n",
        "              # kind='area', stacked=False,\n",
        "              title = \"Carbon Emission by Fuel for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "ax.set_ylabel(\"Carbon Emission (kgCO2eq/MWh)\")   \n",
        "# ax.set_ylim(bottom = 0,top=50000)\n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a508ded0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "qs7FH7WZ-_VS",
        "outputId": "427969f5-dbb5-4633-a4fe-1233f41a02c0"
      },
      "source": [
        "## Without total carbon emission \n",
        "import seaborn as sns\n",
        "cmap = sns.color_palette(\"gray_r\", n_colors=8)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "df.plot(x='MINUTES_PASS', y = np.array(column_list)[0:8], ax = ax, \n",
        "             color=cmap, \n",
        "              kind='area', stacked=True,\n",
        "              title = \"Carbon Emission by Fuel for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "ax.set_ylabel(\"Carbon Emission (kgCO2eq/MWh)\")\n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a4e1d850>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "rBxpCNcaxCRT",
        "outputId": "80399578-e479-4366-d340-5956079c5cfd"
      },
      "source": [
        "## With total carbon emission \n",
        "import seaborn as sns\n",
        "cmap = sns.color_palette(\"gray_r\", n_colors=9)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "fig.set_size_inches(12, 5)\n",
        "df.plot(x='MINUTES_PASS', y = np.array(column_list), ax = ax, \n",
        "             color=cmap, \n",
        "          kind='area', stacked=True,\n",
        "              title = \"Carbon Emission by Fuel for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "ax.set_ylabel(\"Carbon Emission (kgCO2eq/MWh)\")\n",
        "\n",
        "# mean_gen = round(sub_df[\"total_generation\"].mean())\n",
        "# max_gen = sub_df[\"total_generation\"].max()\n",
        "# maxh = sub_df.loc[sub_df[\"total_generation\"]== max_gen]\n",
        "# maxh = maxh[\"HOURS\"]\n",
        "\n",
        "# Mark Mean Line \n",
        "# ax.axhline(y=mean_gen, xmin=-1, xmax=1, color='r', linestyle='--', lw=2)\n",
        "# ax.text(5,mean_gen+1000, \"Mean \" + str(mean_gen) + \"(MW)\" )\n",
        "\n",
        "# ax.get_legend().remove()\n",
        "\n",
        "# Mark Peak consumption \n",
        "# ax.annotate('Peak '+ str(max_gen)+ \"(MWh)\", xy=(maxh,max_gen), xytext=(maxh+1, max_gen+1000),\n",
        "#              arrowprops=dict(arrowstyle='-|>') ,ha='left', rotation=0)\n",
        "    \n",
        "ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n",
        "# plot.show(block=True);"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a4ee5750>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 709
        },
        "id": "7HDzdPQWwQly",
        "outputId": "c0b25022-e22f-4778-bf58-3de268817a48"
      },
      "source": [
        "# fig, axs = plt.subplots(nrows=3, ncols=2)\n",
        "# fig.set_size_inches(20, 10)\n",
        "# fig.subplots_adjust(wspace=0.2)\n",
        "# fig.subplots_adjust(hspace=0.5)\n",
        "\n",
        "# fig.legend(column_list)\n",
        "  \n",
        "# for pp,ax in zip(dates,axs.flatten()):\n",
        "#     print(pp)\n",
        "#     sub_df = df[df['DATE']==pp]\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[0], ax = ax, title = \"Fuel Mix for generation in \"+ Region + \" on \"+ pp,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[1], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[2], ax = ax,legend=False)    \n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[3], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[4], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[5], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[6], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y = column_list[7], ax = ax,legend=False)\n",
        "#     sub_df.plot.line(x='MINUTES_PASS', y =['total_generation'], ax = ax,legend=False)\n",
        "    \n",
        "#     ax.set_ylabel(\"generation(Mw)\")\n",
        "    \n",
        "#     mean_gen = round(sub_df[\"total_generation\"].mean())\n",
        "#     max_gen = sub_df[\"total_generation\"].max()\n",
        "#     maxh = sub_df.loc[sub_df[\"total_generation\"]== max_gen]\n",
        "#     maxh = maxh[\"MINUTES_PASS\"]\n",
        "#     ax.axhline(y=mean_gen, xmin=-1, xmax=1, color='r', linestyle='--', lw=2)\n",
        "    \n",
        "#     ax.text(5,mean_gen+1000, \"Mean \" + str(mean_gen) + \"(MW)\" )\n",
        "\n",
        "# #     ax.get_legend().remove()\n",
        "    \n",
        "# #     ax.annotate('Peak '+ str(max_gen)+ \"(MWh)\", xy=(maxh,max_gen), xytext=(maxh+1, max_gen+1000),\n",
        "# #              arrowprops=dict(arrowstyle='-|>') ,ha='left', rotation=0)\n",
        "    \n",
        "#     ax.set_ylim(bottom = 0,top=39000)\n",
        "    \n",
        "# ax.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2020-09-07\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f38a5d02a50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}