{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 106,
      "metadata": {
        "id": "f-ERaM64ONeC"
      },
      "outputs": [],
      "source": [
        "# preprocess csv\n",
        "import pandas as pd\n",
        "filename = '/content/U3_Metadaten.csv'\n",
        "df = pd.read_csv(filename, on_bad_lines='skip')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 118,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "AYxRURTvQiFb",
        "outputId": "18bf4139-47ac-4939-e635-9f09f560200c"
      },
      "outputs": [
        {
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              "type": "dataframe",
              "variable_name": "clean_df"
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              "      <th>Name</th>\n",
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              "      <th>0</th>\n",
              "      <td>ISB-020-U3-W-D-01-B07005-001-000</td>\n",
              "      <td>Bauarten und Stuecknachweis SGK</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ISB-020-U3-W-D-01-B07005-002-000</td>\n",
              "      <td>Bauarten und Stuecknachweis SGK</td>\n",
              "      <td>D - Datennetz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ISB-020-U3-W-D-01-B07005-003-000</td>\n",
              "      <td>Pruefprotokoll nach DIN EN 61439-1/3</td>\n",
              "      <td>D - Datennetz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ISB-020-U3-W-D-01-B07005-004-000</td>\n",
              "      <td>Pruefprotokoll nach DIN EN 61439-1/3</td>\n",
              "      <td>D - Datennetz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ISB-020-U3-W-D-01-B18012-001-000</td>\n",
              "      <td>Sicherungslegende G-020 U3 779-AS 1</td>\n",
              "      <td>D - Datennetz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>ISB-020-U3-W-S-01-B17012-008-000</td>\n",
              "      <td>Foto</td>\n",
              "      <td>S - Sanitaer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>ISB-020-U3-W-S-01-B17012-010-000</td>\n",
              "      <td>Foto</td>\n",
              "      <td>S - Sanitaer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>ISB-020-U3-W-S-01-B17012-011-000</td>\n",
              "      <td>Foto</td>\n",
              "      <td>S - Sanitaer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>ISB-020-U3-W-S-01-B18003-001-020</td>\n",
              "      <td>Schieber / Hawle / Schieber 4000 + Handrad 780...</td>\n",
              "      <td>S - Sanitaer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>ISB-020-U3-W-S-01-B19009-001-020</td>\n",
              "      <td>Schieber / Hawle / 4000 Schutzraum</td>\n",
              "      <td>S - Sanitaer</td>\n",
              "    </tr>\n",
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              "<p>158 rows × 3 columns</p>\n",
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              "        document.querySelector('#df-3f4ad131-d55b-46a5-8dff-6fa3e12c15b0 button.colab-df-convert');\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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              "    animation:\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        document.querySelector('#df-518b8ddb-11a0-49a2-8903-71e4063ca189 button');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
              "  <div id=\"id_5f410c26-0cce-4d03-86e0-353ac70a1d74\">\n",
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              "        height: 32px;\n",
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              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        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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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('clean_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "                                 Name  \\\n",
              "0    ISB-020-U3-W-D-01-B07005-001-000   \n",
              "1    ISB-020-U3-W-D-01-B07005-002-000   \n",
              "2    ISB-020-U3-W-D-01-B07005-003-000   \n",
              "3    ISB-020-U3-W-D-01-B07005-004-000   \n",
              "4    ISB-020-U3-W-D-01-B18012-001-000   \n",
              "..                                ...   \n",
              "153  ISB-020-U3-W-S-01-B17012-008-000   \n",
              "159  ISB-020-U3-W-S-01-B17012-010-000   \n",
              "160  ISB-020-U3-W-S-01-B17012-011-000   \n",
              "161  ISB-020-U3-W-S-01-B18003-001-020   \n",
              "162  ISB-020-U3-W-S-01-B19009-001-020   \n",
              "\n",
              "                                          Beschreibung      Disziplin  \n",
              "0                      Bauarten und Stuecknachweis SGK  D - Datennetz  \n",
              "1                      Bauarten und Stuecknachweis SGK  D - Datennetz  \n",
              "2                 Pruefprotokoll nach DIN EN 61439-1/3  D - Datennetz  \n",
              "3                 Pruefprotokoll nach DIN EN 61439-1/3  D - Datennetz  \n",
              "4                  Sicherungslegende G-020 U3 779-AS 1  D - Datennetz  \n",
              "..                                                 ...            ...  \n",
              "153                                               Foto   S - Sanitaer  \n",
              "159                                               Foto   S - Sanitaer  \n",
              "160                                               Foto   S - Sanitaer  \n",
              "161  Schieber / Hawle / Schieber 4000 + Handrad 780...   S - Sanitaer  \n",
              "162                 Schieber / Hawle / 4000 Schutzraum   S - Sanitaer  \n",
              "\n",
              "[158 rows x 3 columns]"
            ]
          },
          "execution_count": 118,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# drop all columns except name, description, discipline\n",
        "features = ['Name', 'Beschreibung', 'Disziplin']\n",
        "# Remove rows with NaN values\n",
        "clean_df = df[features].dropna()\n",
        "clean_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 143,
      "metadata": {
        "id": "_PtvbAskQa72"
      },
      "outputs": [],
      "source": [
        "clean_df.to_csv('name-description-discipline-data.csv')"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
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  "nbformat_minor": 0
}