{ "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': '\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n
TeamLocationStanley Cups
BluesSTL1
FlyersPHI2
Maple LeafsTOR13
', 'category': 'Table'})" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "loader = UnstructuredExcelLoader(\n", " \"example_data/stanley-cups.xlsx\",\n", " mode=\"elements\"\n", ")\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 }