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https://github.com/Mintplex-Labs/langchain-python.git
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Leonid Ganeline
1feac83323
updated docstring for the `document_loaders` Maintainer responsibilities: - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
"""Load from a Dataframe object"""
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from typing import Any, Iterator, List
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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class DataFrameLoader(BaseLoader):
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"""Load Pandas DataFrame."""
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def __init__(self, data_frame: Any, page_content_column: str = "text"):
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"""Initialize with dataframe object.
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Args:
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data_frame: Pandas DataFrame object.
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page_content_column: Name of the column containing the page content.
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Defaults to "text".
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"""
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import pandas as pd
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if not isinstance(data_frame, pd.DataFrame):
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raise ValueError(
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f"Expected data_frame to be a pd.DataFrame, got {type(data_frame)}"
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)
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self.data_frame = data_frame
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self.page_content_column = page_content_column
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def lazy_load(self) -> Iterator[Document]:
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"""Lazy load records from dataframe."""
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for _, row in self.data_frame.iterrows():
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text = row[self.page_content_column]
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metadata = row.to_dict()
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metadata.pop(self.page_content_column)
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yield Document(page_content=text, metadata=metadata)
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def load(self) -> List[Document]:
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"""Load full dataframe."""
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return list(self.lazy_load())
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