awswrangler.s3.list_directories

awswrangler.s3.list_directories(path: str, chunked: bool = False, s3_additional_kwargs: dict[str, Any] | None = None, boto3_session: Session | None = None) → list[str] | Iterator[list[str]]

List Amazon S3 objects from a prefix.

This function accepts Unix shell-style wildcards in the path argument. * (matches everything), ? (matches any single character), [seq] (matches any character in seq), [!seq] (matches any character not in seq). If you want to use a path which includes Unix shell-style wildcard characters (*, ?, []), you can use glob.escape(path) before passing the path to this function.

Note

Following arguments are not supported in distributed mode with engine EngineEnum.RAY:

• boto3_session

• s3_additional_kwargs

Parameters:

• path (str) – S3 path (e.g. s3://bucket/prefix).

• chunked (bool) – If True returns iterator, and a single list otherwise. False by default.

• s3_additional_kwargs (dict[str, Any] | None) – Forwarded to botocore requests. e.g. s3_additional_kwargs={‘RequestPayer’: ‘requester’}

• boto3_session (Session | None) – Boto3 Session. The default boto3 session will be used if boto3_session receive None.

Return type:

list[str] | Iterator[list[str]]

Returns:

List of objects paths.

Examples

Using the default boto3 session

>>> import awswrangler as wr
>>> wr.s3.list_directories('s3://bucket/prefix/')
['s3://bucket/prefix/dir0/', 's3://bucket/prefix/dir1/', 's3://bucket/prefix/dir2/']

Using a custom boto3 session

>>> import boto3
>>> import awswrangler as wr
>>> wr.s3.list_directories('s3://bucket/prefix/', boto3_session=boto3.Session())
['s3://bucket/prefix/dir0/', 's3://bucket/prefix/dir1/', 's3://bucket/prefix/dir2/']