langchain_community.document_loaders.xorbits.XorbitsLoader¶

class langchain_community.document_loaders.xorbits.XorbitsLoader(data_frame: Any, page_content_column: str = 'text')[source]¶

Load Xorbits DataFrame.

Initialize with dataframe object.

Requirements:

Must have xorbits installed. You can install with pip install xorbits.

Parameters

  • data_frame – Xorbits DataFrame object.

  • page_content_column – Name of the column containing the page content. Defaults to “text”.

Methods

__init__(data_frame[, page_content_column])

Initialize with dataframe object.

lazy_load()

Lazy load records from dataframe.

load()

Load full dataframe.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(data_frame: Any, page_content_column: str = 'text')[source]¶

Initialize with dataframe object.

Requirements:

Must have xorbits installed. You can install with pip install xorbits.

Parameters

  • data_frame – Xorbits DataFrame object.

  • page_content_column – Name of the column containing the page content. Defaults to “text”.

lazy_load() → Iterator[Document]¶

Lazy load records from dataframe.

load() → List[Document]¶

Load full dataframe.

load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶

Load Documents and split into chunks. Chunks are returned as Documents.

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Examples using XorbitsLoader¶