langchain.document_loaders.dataframe.DataFrameLoader¶
class langchain.document_loaders.dataframe.DataFrameLoader(data_frame: Any, page_content_column: str = 'text')[source]¶
Load Pandas DataFrame.
Initialize with dataframe object.
Parameters
data_frame – Pandas 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.
Parameters
data_frame – Pandas 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 DataFrameLoader¶
Pandas DataFrame