langchain/docs/extras/integrations/document_loaders/excel.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "22a849cc",
"metadata": {},
"source": [
"# Microsoft Excel\n",
"\n",
"The `UnstructuredExcelLoader` is used to load `Microsoft Excel` files. The loader works with both `.xlsx` and `.xls` files. The page content will be the raw text of the Excel file. If you use the loader in `\"elements\"` mode, an HTML representation of the Excel file will be available in the document metadata under the `text_as_html` key."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e6616e3a",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import UnstructuredExcelLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a654e4d9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Document(page_content='\\n \\n \\n Team\\n Location\\n Stanley Cups\\n \\n \\n Blues\\n STL\\n 1\\n \\n \\n Flyers\\n PHI\\n 2\\n \\n \\n Maple Leafs\\n TOR\\n 13\\n \\n \\n', metadata={'source': 'example_data/stanley-cups.xlsx', 'filename': 'stanley-cups.xlsx', 'file_directory': 'example_data', 'filetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'page_number': 1, 'page_name': 'Stanley Cups', 'text_as_html': '<table border=\"1\" class=\"dataframe\">\\n <tbody>\\n <tr>\\n <td>Team</td>\\n <td>Location</td>\\n <td>Stanley Cups</td>\\n </tr>\\n <tr>\\n <td>Blues</td>\\n <td>STL</td>\\n <td>1</td>\\n </tr>\\n <tr>\\n <td>Flyers</td>\\n <td>PHI</td>\\n <td>2</td>\\n </tr>\\n <tr>\\n <td>Maple Leafs</td>\\n <td>TOR</td>\\n <td>13</td>\\n </tr>\\n </tbody>\\n</table>', 'category': 'Table'})"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loader = UnstructuredExcelLoader(\"example_data/stanley-cups.xlsx\", mode=\"elements\")\n",
"docs = loader.load()\n",
"docs[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ab94bde",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}