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 β€œtext”.

  • engine (Literal['pandas', 'modin']) –

Methods

__init__(data_frame[,Β page_content_column,Β ...])

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 β€œtext”.

  • engine (Literal['pandas', 'modin']) –

async alazy_load() β†’ AsyncIterator[Document]#

A lazy loader for Documents.

Return type:

AsyncIterator[Document]

async aload() β†’ List[Document]#

Load data into Document objects.

Return type:

List[Document]

lazy_load() β†’ Iterator[Document]#

Lazy load records from dataframe.

Return type:

Iterator[Document]

load() β†’ List[Document]#

Load data into Document objects.

Return type:

List[Document]

load_and_split(text_splitter: TextSplitter | None = None) β†’ 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