`langchain_community.document_loaders.dataframe`.BaseDataFrameLoader¶

class langchain_community.document_loaders.dataframe.BaseDataFrameLoader(data_frame: Any, *, page_content_column: str = 'text')[source]¶

Initialize with dataframe object.

Parameters

data_frame (Any) – DataFrame object.
page_content_column (str) – Name of the column containing the page content. Defaults to “text”.

Methods

`__init__`(data_frame, *[, page_content_column])	Initialize with dataframe object.
`alazy_load`()	A lazy loader for Documents.
`aload`()	Load data into Document objects.
`lazy_load`()	Lazy load records from dataframe.
`load`()	Load data into Document objects.
`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.

Parameters

data_frame (Any) – DataFrame object.
page_content_column (str) – Name of the column containing the page content. Defaults to “text”.

async alazy_load() → AsyncIterator[Document]¶

A lazy loader for Documents.

async aload() → List[Document]¶

Load data into Document objects.

lazy_load() → Iterator[Document][source]¶

Lazy load records from dataframe.

load() → List[Document]¶

Load data into Document objects.

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

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

Do not override this method. It should be considered to be deprecated!

Parameters: text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
Returns: List of Documents.
Return type: List[Document]

langchain_community.document_loaders.dataframe.BaseDataFrameLoader¶