PythonLoader#

class langchain_community.document_loaders.python.PythonLoader(file_path: str | Path)[source]#

Load Python files, respecting any non-default encoding if specified.

Initialize with a file path.

Parameters:

file_path (str | Path) – The path to the file to load.

Methods

__init__(file_path)

Initialize with a file path.

alazy_load()

A lazy loader for Documents.

aload()

Load data into Document objects.

lazy_load()

Load from file path.

load()

Load data into Document objects.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(file_path: str | Path)[source]#

Initialize with a file path.

Parameters:

file_path (str | Path) – The path to the file to load.

async alazy_load() → AsyncIterator[Document]#

A lazy loader for Documents.

Yields:

the documents.

Return type:

AsyncIterator[Document]

async aload() → list[Document]#

Load data into Document objects.

Returns:

the documents.

Return type:

list[Document]

lazy_load() → Iterator[Document]#

Load from file path.

Return type:

Iterator[Document]

load() → list[Document]#

Load data into Document objects.

Returns:

the documents.

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.

Raises:

ImportError – If langchain-text-splitters is not installed and no text_splitter is provided.

Returns:

List of Documents.

Return type:

list[Document]

Examples using PythonLoader