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20 lines
1.3 KiB
Markdown
20 lines
1.3 KiB
Markdown
# Pandas Excel Loader
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This loader extracts the text from a column of a local .xlsx file using the `pandas` Python package. A single local file is passed in each time you call `load_data`.
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## Usage
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To use this loader, you need to pass in a `Path` to a local file, along with a `sheet_name` from which sheet to extract data. The default `sheet_name=None`, which means it will load all the sheets in the excel file. You can set `sheet_name="Data1` to load only the sheet named "Data1". Or you can set `sheet_name=0` to load the first sheet in the excel file. You can pass any additional pandas configuration options to the `pandas_config` parameter, please see the [pandas documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html).
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```python
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from pathlib import Path
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from llama_index import download_loader
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PandasExcelReader = download_loader("PandasExcelReader")
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loader = PandasExcelReader()
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documents = loader.load_data(file=Path('./data.xlsx'), pandas_config={"header":0})
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```
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This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/jerryjliu/gpt_index/tree/main/gpt_index) and/or subsequently used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent. See [here](https://github.com/emptycrown/llama-hub/tree/main) for examples.
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