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_818_electricity_demand

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+ {
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+ "nbformat": 4,
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+ "nbformat_minor": 0,
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+ "metadata": {
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+ "colab": {
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+ "provenance": []
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+ },
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+ "kernelspec": {
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+ "name": "python3",
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+ "display_name": "Python 3"
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+ },
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+ "language_info": {
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+ "name": "python"
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+ }
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+ },
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+ "execution_count": 1,
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+ "metadata": {
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+ "id": "iUlUv-HLD9cn"
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+ },
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+ "outputs": [],
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+ "source": [
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+ "import pandas as pd\n",
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+ "df = pd.read_csv('/content/electricity.csv')"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "df.head()"
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+ ],
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+ "metadata": {
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+ "colab": {
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+ "base_uri": "https://localhost:8080/",
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+ "height": 226
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+ },
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+ "outputId": "9cf18efb-67c3-47e9-c6b8-f2b9cb9622f2"
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+ },
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+ {
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+ "output_type": "execute_result",
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+ "data": {
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+ "text/plain": [
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+ " date day period nswprice nswdemand vicprice vicdemand transfer \\\n",
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+ "0 0.0 b'2' 0.000000 0.056443 0.439155 0.003467 0.422915 0.414912 \n",
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+ "1 0.0 b'2' 0.021277 0.051699 0.415055 0.003467 0.422915 0.414912 \n",
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+ "3 0.0 b'2' 0.063830 0.045485 0.314639 0.003467 0.422915 0.414912 \n",
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+ "4 0.0 b'2' 0.085106 0.042482 0.251116 0.003467 0.422915 0.414912 \n",
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+ "\n",
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+ " class \n",
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+ "0 b'UP' \n",
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+ "1 b'UP' \n",
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+ "2 b'UP' \n",
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+ "3 b'UP' \n",
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+ "4 b'DOWN' "
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+ ],
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+ "\n",
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+ " <div id=\"df-13c5bd7f-5ace-41ba-9495-bfacdf3c4035\" class=\"colab-df-container\">\n",
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+ " <div>\n",
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+ "<style scoped>\n",
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+ " .dataframe tbody tr th:only-of-type {\n",
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+ " vertical-align: middle;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe tbody tr th {\n",
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+ " vertical-align: top;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe thead th {\n",
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+ " text-align: right;\n",
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+ " }\n",
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+ "</style>\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
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+ " <tr style=\"text-align: right;\">\n",
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+ " <th></th>\n",
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+ " <th>date</th>\n",
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+ " <th>day</th>\n",
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+ " <th>period</th>\n",
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+ " <th>nswprice</th>\n",
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+ " <th>nswdemand</th>\n",
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+ " <th>vicprice</th>\n",
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+ " <th>vicdemand</th>\n",
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+ " <td>0.0</td>\n",
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+ " <td>0.021277</td>\n",
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+ " <td>0.051699</td>\n",
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+ " <td>0.415055</td>\n",
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+ " <td>0.003467</td>\n",
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+ " <td>0.422915</td>\n",
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+ " <td>0.414912</td>\n",
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+ " <td>b'UP'</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>2</th>\n",
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+ " <td>0.0</td>\n",
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+ " <td>0.042553</td>\n",
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+ " <td>0.051489</td>\n",
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+ " <td>0.385004</td>\n",
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+ " <td>0.003467</td>\n",
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+ " <td>0.414912</td>\n",
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+ " <td>b'UP'</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>3</th>\n",
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+ " <td>0.0</td>\n",
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+ " <td>0.063830</td>\n",
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+ " </tr>\n",
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+ " <td>0.003467</td>\n",
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+ " <td>0.422915</td>\n",
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+ " <td>0.414912</td>\n",
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+ " <td>b'DOWN'</td>\n",
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+ " </tr>\n",
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+ "</table>\n",
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+ " <div class=\"colab-df-buttons\">\n",
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+ "\n",
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+ " <div class=\"colab-df-container\">\n",
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+ " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-13c5bd7f-5ace-41ba-9495-bfacdf3c4035')\"\n",
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+ " title=\"Convert this dataframe to an interactive table.\"\n",
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+ " </svg>\n",
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+ " </button>\n",
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+ "\n",
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+ " <style>\n",
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+ " .colab-df-container {\n",
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+ " display:flex;\n",
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+ " gap: 12px;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-convert {\n",
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+ " background-color: #E8F0FE;\n",
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+ " border: none;\n",
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+ " border-radius: 50%;\n",
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+ " cursor: pointer;\n",
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+ " display: none;\n",
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+ " fill: #1967D2;\n",
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+ " height: 32px;\n",
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+ " padding: 0 0 0 0;\n",
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+ " width: 32px;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-convert:hover {\n",
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+ " background-color: #E2EBFA;\n",
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+ " box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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+ " fill: #174EA6;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-buttons div {\n",
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+ " margin-bottom: 4px;\n",
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+ " }\n",
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+ "\n",
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+ " [theme=dark] .colab-df-convert {\n",
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+ " background-color: #3B4455;\n",
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+ " fill: #D2E3FC;\n",
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+ " }\n",
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+ "\n",
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+ " [theme=dark] .colab-df-convert:hover {\n",
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+ " background-color: #434B5C;\n",
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+ " box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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+ " filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+ " fill: #FFFFFF;\n",
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+ " }\n",
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+ " </style>\n",
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+ "\n",
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+ " <script>\n",
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+ " const buttonEl =\n",
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+ " document.querySelector('#df-13c5bd7f-5ace-41ba-9495-bfacdf3c4035 button.colab-df-convert');\n",
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+ " buttonEl.style.display =\n",
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+ " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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+ "\n",
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+ " async function convertToInteractive(key) {\n",
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+ " const element = document.querySelector('#df-13c5bd7f-5ace-41ba-9495-bfacdf3c4035');\n",
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+ " const dataTable =\n",
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+ " await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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+ " [key], {});\n",
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+ " if (!dataTable) return;\n",
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+ "\n",
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+ " const docLinkHtml = 'Like what you see? Visit the ' +\n",
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+ " '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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+ " + ' to learn more about interactive tables.';\n",
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+ " element.innerHTML = '';\n",
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+ " dataTable['output_type'] = 'display_data';\n",
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+ " await google.colab.output.renderOutput(dataTable, element);\n",
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+ " const docLink = document.createElement('div');\n",
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+ " docLink.innerHTML = docLinkHtml;\n",
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+ " element.appendChild(docLink);\n",
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+ " }\n",
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+ " </script>\n",
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+ " </div>\n",
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+ "\n",
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+ "\n",
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+ "<div id=\"df-c8934099-18e0-4cfa-8043-1e260a9007ce\">\n",
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+ " <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c8934099-18e0-4cfa-8043-1e260a9007ce')\"\n",
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+ " title=\"Suggest charts\"\n",
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+ " style=\"display:none;\">\n",
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+ "\n",
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+ "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+ " width=\"24px\">\n",
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+ " <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
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+ " </g>\n",
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+ "</svg>\n",
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+ " </button>\n",
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+ "\n",
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+ "<style>\n",
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+ " .colab-df-quickchart {\n",
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+ " --bg-color: #E8F0FE;\n",
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+ " --fill-color: #1967D2;\n",
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+ " --hover-bg-color: #E2EBFA;\n",
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+ " --hover-fill-color: #174EA6;\n",
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+ " --disabled-fill-color: #AAA;\n",
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+ " --disabled-bg-color: #DDD;\n",
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+ " }\n",
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+ "\n",
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+ " [theme=dark] .colab-df-quickchart {\n",
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+ " --bg-color: #3B4455;\n",
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+ " --fill-color: #D2E3FC;\n",
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+ " --hover-bg-color: #434B5C;\n",
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+ " --hover-fill-color: #FFFFFF;\n",
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+ " --disabled-bg-color: #3B4455;\n",
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+ " --disabled-fill-color: #666;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-quickchart {\n",
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+ " background-color: var(--bg-color);\n",
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+ " border: none;\n",
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+ " border-radius: 50%;\n",
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+ " cursor: pointer;\n",
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+ " display: none;\n",
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+ " fill: var(--fill-color);\n",
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+ " height: 32px;\n",
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+ " padding: 0;\n",
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+ " width: 32px;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-quickchart:hover {\n",
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+ " background-color: var(--hover-bg-color);\n",
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+ " box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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+ " fill: var(--button-hover-fill-color);\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-quickchart-complete:disabled,\n",
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+ " .colab-df-quickchart-complete:disabled:hover {\n",
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+ " background-color: var(--disabled-bg-color);\n",
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+ " fill: var(--disabled-fill-color);\n",
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+ " box-shadow: none;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-spinner {\n",
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+ " border: 2px solid var(--fill-color);\n",
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+ " border-color: transparent;\n",
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+ " border-bottom-color: var(--fill-color);\n",
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+ " animation:\n",
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+ " spin 1s steps(1) infinite;\n",
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+ " }\n",
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+ "\n",
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+ " @keyframes spin {\n",
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+ " 0% {\n",
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+ " border-color: transparent;\n",
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+ " border-bottom-color: var(--fill-color);\n",
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+ " border-left-color: var(--fill-color);\n",
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+ " }\n",
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+ " 20% {\n",
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+ " border-color: transparent;\n",
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+ " border-left-color: var(--fill-color);\n",
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+ " border-top-color: var(--fill-color);\n",
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+ " }\n",
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+ " 30% {\n",
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+ " border-color: transparent;\n",
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+ " border-left-color: var(--fill-color);\n",
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+ " border-top-color: var(--fill-color);\n",
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+ " border-right-color: var(--fill-color);\n",
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+ " }\n",
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+ " 40% {\n",
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+ " border-color: transparent;\n",
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+ " border-right-color: var(--fill-color);\n",
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+ " border-top-color: var(--fill-color);\n",
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+ " }\n",
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+ " 60% {\n",
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+ " border-color: transparent;\n",
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+ " border-right-color: var(--fill-color);\n",
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+ " }\n",
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+ " 80% {\n",
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+ " border-color: transparent;\n",
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+ " border-right-color: var(--fill-color);\n",
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+ " border-bottom-color: var(--fill-color);\n",
333
+ " }\n",
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+ " 90% {\n",
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+ " border-color: transparent;\n",
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+ " border-bottom-color: var(--fill-color);\n",
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+ " }\n",
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+ " }\n",
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+ "</style>\n",
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+ "\n",
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+ " <script>\n",
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+ " async function quickchart(key) {\n",
343
+ " const quickchartButtonEl =\n",
344
+ " document.querySelector('#' + key + ' button');\n",
345
+ " quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
346
+ " quickchartButtonEl.classList.add('colab-df-spinner');\n",
347
+ " try {\n",
348
+ " const charts = await google.colab.kernel.invokeFunction(\n",
349
+ " 'suggestCharts', [key], {});\n",
350
+ " } catch (error) {\n",
351
+ " console.error('Error during call to suggestCharts:', error);\n",
352
+ " }\n",
353
+ " quickchartButtonEl.classList.remove('colab-df-spinner');\n",
354
+ " quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
355
+ " }\n",
356
+ " (() => {\n",
357
+ " let quickchartButtonEl =\n",
358
+ " document.querySelector('#df-c8934099-18e0-4cfa-8043-1e260a9007ce button');\n",
359
+ " quickchartButtonEl.style.display =\n",
360
+ " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
361
+ " })();\n",
362
+ " </script>\n",
363
+ "</div>\n",
364
+ "\n",
365
+ " </div>\n",
366
+ " </div>\n"
367
+ ],
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+ "application/vnd.google.colaboratory.intrinsic+json": {
369
+ "type": "dataframe",
370
+ "variable_name": "df",
371
+ "summary": "{\n \"name\": \"df\",\n \"rows\": 45312,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.34030772179030583,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 933,\n \"samples\": [\n 0.89881,\n 0.009247,\n 0.868192\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"day\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"b'2'\",\n \"b'3'\",\n \"b'7'\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"period\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2947563828038936,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 48,\n \"samples\": [\n 0.574468,\n 0.851064,\n 0.553191\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"nswprice\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.039990768954021906,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 4089,\n \"samples\": [\n 0.092801,\n 0.11838,\n 0.11832\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"nswdemand\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1633227141782043,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 5266,\n \"samples\": [\n 0.677626,\n 0.778637,\n 0.196519\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"vicprice\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010213038212794925,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 3798,\n \"samples\": [\n 0.004614,\n 0.003874,\n 0.002987\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"vicdemand\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12096534549179237,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 2846,\n \"samples\": [\n 0.719834,\n 0.225531,\n 0.493268\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"transfer\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1533733911366238,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 1878,\n \"samples\": [\n 0.820614,\n 0.239035,\n 0.832456\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"class\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"b'DOWN'\",\n \"b'UP'\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
372
+ }
373
+ },
374
+ "metadata": {},
375
+ "execution_count": 2
376
+ }
377
+ ]
378
+ },
379
+ {
380
+ "cell_type": "code",
381
+ "source": [
382
+ "df.info()"
383
+ ],
384
+ "metadata": {
385
+ "colab": {
386
+ "base_uri": "https://localhost:8080/"
387
+ },
388
+ "id": "fEnQSpcUENgi",
389
+ "outputId": "018013d1-274f-47a9-8c1c-1b2dfbe58d2d"
390
+ },
391
+ "execution_count": 3,
392
+ "outputs": [
393
+ {
394
+ "output_type": "stream",
395
+ "name": "stdout",
396
+ "text": [
397
+ "<class 'pandas.core.frame.DataFrame'>\n",
398
+ "RangeIndex: 45312 entries, 0 to 45311\n",
399
+ "Data columns (total 9 columns):\n",
400
+ " # Column Non-Null Count Dtype \n",
401
+ "--- ------ -------------- ----- \n",
402
+ " 0 date 45312 non-null float64\n",
403
+ " 1 day 45312 non-null object \n",
404
+ " 2 period 45312 non-null float64\n",
405
+ " 3 nswprice 45312 non-null float64\n",
406
+ " 4 nswdemand 45312 non-null float64\n",
407
+ " 5 vicprice 45312 non-null float64\n",
408
+ " 6 vicdemand 45312 non-null float64\n",
409
+ " 7 transfer 45312 non-null float64\n",
410
+ " 8 class 45312 non-null object \n",
411
+ "dtypes: float64(7), object(2)\n",
412
+ "memory usage: 3.1+ MB\n"
413
+ ]
414
+ }
415
+ ]
416
+ },
417
+ {
418
+ "cell_type": "code",
419
+ "source": [
420
+ "df.describe()"
421
+ ],
422
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423
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424
+ "base_uri": "https://localhost:8080/",
425
+ "height": 320
426
+ },
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+ "id": "U_kqvcdpEPCe",
428
+ "outputId": "db63b846-ea80-4924-8298-14e8fb5c7178"
429
+ },
430
+ "execution_count": 4,
431
+ "outputs": [
432
+ {
433
+ "output_type": "execute_result",
434
+ "data": {
435
+ "text/plain": [
436
+ " date period nswprice nswdemand vicprice \\\n",
437
+ "count 45312.000000 45312.000000 45312.000000 45312.000000 45312.000000 \n",
438
+ "mean 0.499080 0.500000 0.057868 0.425418 0.003467 \n",
439
+ "std 0.340308 0.294756 0.039991 0.163323 0.010213 \n",
440
+ "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
441
+ "25% 0.031934 0.250000 0.035127 0.309134 0.002277 \n",
442
+ "50% 0.456329 0.500000 0.048652 0.443693 0.003467 \n",
443
+ "75% 0.880547 0.750000 0.074336 0.536001 0.003467 \n",
444
+ "max 1.000000 1.000000 1.000000 1.000000 1.000000 \n",
445
+ "\n",
446
+ " vicdemand transfer \n",
447
+ "count 45312.000000 45312.000000 \n",
448
+ "mean 0.422915 0.500526 \n",
449
+ "std 0.120965 0.153373 \n",
450
+ "min 0.000000 0.000000 \n",
451
+ "25% 0.372346 0.414912 \n",
452
+ "50% 0.422915 0.414912 \n",
453
+ "75% 0.469252 0.605702 \n",
454
+ "max 1.000000 1.000000 "
455
+ ],
456
+ "text/html": [
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
475
+ " <tr style=\"text-align: right;\">\n",
476
+ " <th></th>\n",
477
+ " <th>date</th>\n",
478
+ " <th>period</th>\n",
479
+ " <th>nswprice</th>\n",
480
+ " <th>nswdemand</th>\n",
481
+ " <th>vicprice</th>\n",
482
+ " <th>vicdemand</th>\n",
483
+ " <th>transfer</th>\n",
484
+ " </tr>\n",
485
+ " </thead>\n",
486
+ " <tbody>\n",
487
+ " <tr>\n",
488
+ " <th>count</th>\n",
489
+ " <td>45312.000000</td>\n",
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+ " <td>45312.000000</td>\n",
491
+ " <td>45312.000000</td>\n",
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+ " <td>45312.000000</td>\n",
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+ " <td>45312.000000</td>\n",
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+ " <td>45312.000000</td>\n",
495
+ " <td>45312.000000</td>\n",
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+ " </tr>\n",
497
+ " <tr>\n",
498
+ " <th>mean</th>\n",
499
+ " <td>0.499080</td>\n",
500
+ " <td>0.500000</td>\n",
501
+ " <td>0.057868</td>\n",
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+ " <td>0.425418</td>\n",
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+ " <td>0.003467</td>\n",
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+ " <td>0.422915</td>\n",
505
+ " <td>0.500526</td>\n",
506
+ " </tr>\n",
507
+ " <tr>\n",
508
+ " <th>std</th>\n",
509
+ " <td>0.340308</td>\n",
510
+ " <td>0.294756</td>\n",
511
+ " <td>0.039991</td>\n",
512
+ " <td>0.163323</td>\n",
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+ " <td>0.010213</td>\n",
514
+ " <td>0.120965</td>\n",
515
+ " <td>0.153373</td>\n",
516
+ " </tr>\n",
517
+ " <tr>\n",
518
+ " <th>min</th>\n",
519
+ " <td>0.000000</td>\n",
520
+ " <td>0.000000</td>\n",
521
+ " <td>0.000000</td>\n",
522
+ " <td>0.000000</td>\n",
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+ " <td>0.000000</td>\n",
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+ " <td>0.000000</td>\n",
525
+ " <td>0.000000</td>\n",
526
+ " </tr>\n",
527
+ " <tr>\n",
528
+ " <th>25%</th>\n",
529
+ " <td>0.031934</td>\n",
530
+ " <td>0.250000</td>\n",
531
+ " <td>0.035127</td>\n",
532
+ " <td>0.309134</td>\n",
533
+ " <td>0.002277</td>\n",
534
+ " <td>0.372346</td>\n",
535
+ " <td>0.414912</td>\n",
536
+ " </tr>\n",
537
+ " <tr>\n",
538
+ " <th>50%</th>\n",
539
+ " <td>0.456329</td>\n",
540
+ " <td>0.500000</td>\n",
541
+ " <td>0.048652</td>\n",
542
+ " <td>0.443693</td>\n",
543
+ " <td>0.003467</td>\n",
544
+ " <td>0.422915</td>\n",
545
+ " <td>0.414912</td>\n",
546
+ " </tr>\n",
547
+ " <tr>\n",
548
+ " <th>75%</th>\n",
549
+ " <td>0.880547</td>\n",
550
+ " <td>0.750000</td>\n",
551
+ " <td>0.074336</td>\n",
552
+ " <td>0.536001</td>\n",
553
+ " <td>0.003467</td>\n",
554
+ " <td>0.469252</td>\n",
555
+ " <td>0.605702</td>\n",
556
+ " </tr>\n",
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+ " <tr>\n",
558
+ " <th>max</th>\n",
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+ " <td>1.000000</td>\n",
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+ " </tr>\n",
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+ " </tbody>\n",
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+ "\n",
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+ " </svg>\n",
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+ " </button>\n",
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+ "\n",
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+ " <style>\n",
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+ " .colab-df-container {\n",
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585
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586
+ " }\n",
587
+ "\n",
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+ " .colab-df-convert {\n",
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+ " background-color: #E8F0FE;\n",
590
+ " border: none;\n",
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596
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597
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598
+ " }\n",
599
+ "\n",
600
+ " .colab-df-convert:hover {\n",
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+ " background-color: #E2EBFA;\n",
602
+ " box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
603
+ " fill: #174EA6;\n",
604
+ " }\n",
605
+ "\n",
606
+ " .colab-df-buttons div {\n",
607
+ " margin-bottom: 4px;\n",
608
+ " }\n",
609
+ "\n",
610
+ " [theme=dark] .colab-df-convert {\n",
611
+ " background-color: #3B4455;\n",
612
+ " fill: #D2E3FC;\n",
613
+ " }\n",
614
+ "\n",
615
+ " [theme=dark] .colab-df-convert:hover {\n",
616
+ " background-color: #434B5C;\n",
617
+ " box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
618
+ " filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
619
+ " fill: #FFFFFF;\n",
620
+ " }\n",
621
+ " </style>\n",
622
+ "\n",
623
+ " <script>\n",
624
+ " const buttonEl =\n",
625
+ " document.querySelector('#df-0acdcb62-809a-4cbd-9030-351eca65d247 button.colab-df-convert');\n",
626
+ " buttonEl.style.display =\n",
627
+ " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
628
+ "\n",
629
+ " async function convertToInteractive(key) {\n",
630
+ " const element = document.querySelector('#df-0acdcb62-809a-4cbd-9030-351eca65d247');\n",
631
+ " const dataTable =\n",
632
+ " await google.colab.kernel.invokeFunction('convertToInteractive',\n",
633
+ " [key], {});\n",
634
+ " if (!dataTable) return;\n",
635
+ "\n",
636
+ " const docLinkHtml = 'Like what you see? Visit the ' +\n",
637
+ " '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
638
+ " + ' to learn more about interactive tables.';\n",
639
+ " element.innerHTML = '';\n",
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+ " dataTable['output_type'] = 'display_data';\n",
641
+ " await google.colab.output.renderOutput(dataTable, element);\n",
642
+ " const docLink = document.createElement('div');\n",
643
+ " docLink.innerHTML = docLinkHtml;\n",
644
+ " element.appendChild(docLink);\n",
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+ " }\n",
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+ " </script>\n",
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+ " </div>\n",
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+ "\n",
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+ "\n",
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+ "<div id=\"df-d90ab044-465f-4e94-86cb-66993343c124\">\n",
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+ " <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d90ab044-465f-4e94-86cb-66993343c124')\"\n",
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+ "\n",
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+ "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+ " </g>\n",
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+ "</svg>\n",
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+ " </button>\n",
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+ "\n",
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+ "<style>\n",
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+ " .colab-df-quickchart {\n",
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+ "\n",
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+ " background-color: var(--bg-color);\n",
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+ " cursor: pointer;\n",
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+ " display: none;\n",
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+ " fill: var(--fill-color);\n",
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+ " height: 32px;\n",
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+ " padding: 0;\n",
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+ " width: 32px;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-quickchart:hover {\n",
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+ " background-color: var(--hover-bg-color);\n",
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+ " box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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+ " fill: var(--button-hover-fill-color);\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-quickchart-complete:disabled,\n",
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+ " .colab-df-quickchart-complete:disabled:hover {\n",
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+ " background-color: var(--disabled-bg-color);\n",
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+ " fill: var(--disabled-fill-color);\n",
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+ " box-shadow: none;\n",
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+ " }\n",
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+ "\n",
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+ " .colab-df-spinner {\n",
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+ " border: 2px solid var(--fill-color);\n",
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+ " border-bottom-color: var(--fill-color);\n",
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718
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720
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721
+ " 20% {\n",
722
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723
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724
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725
+ " }\n",
726
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727
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728
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729
+ " border-top-color: var(--fill-color);\n",
730
+ " border-right-color: var(--fill-color);\n",
731
+ " }\n",
732
+ " 40% {\n",
733
+ " border-color: transparent;\n",
734
+ " border-right-color: var(--fill-color);\n",
735
+ " border-top-color: var(--fill-color);\n",
736
+ " }\n",
737
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738
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740
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741
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743
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744
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745
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746
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750
+ " }\n",
751
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+ " document.querySelector('#' + key + ' button');\n",
757
+ " quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
758
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759
+ " try {\n",
760
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761
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762
+ " } catch (error) {\n",
763
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764
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767
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