DataFrameLoader#

class langchain_community.document_loaders.dataframe.DataFrameLoader(data_frame: Any, page_content_column: str = 'text', engine: Literal['pandas', 'modin'] = 'pandas')[source]#

Load Pandas DataFrame.

Initialize with dataframe object.

Parameters:

data_frame (Any) – Pandas DataFrame object.
page_content_column (str) – Name of the column containing the page content. Defaults to “text”.
engine (Literal['pandas', 'modin']) –

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', engine: Literal['pandas', 'modin'] = 'pandas')[source]#

Initialize with dataframe object.

Parameters:

data_frame (Any) – Pandas DataFrame object.
page_content_column (str) – Name of the column containing the page content. Defaults to “text”.
engine (Literal['pandas', 'modin']) –

async alazy_load() → AsyncIterator[Document]#

A lazy loader for Documents.

Return type:: AsyncIterator[Document]

async aload() → List[Document]#

Load data into Document objects.

Return type:: List[Document]

lazy_load() → Iterator[Document]#

Lazy load records from dataframe.

Return type:: Iterator[Document]

load() → List[Document]#

Load data into Document objects.

Return type:: List[Document]

load_and_split(text_splitter: TextSplitter | None = 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]

Examples using DataFrameLoader

Pandas DataFrame