ds_resource_plugin_py_lib.common.serde.deserialize.awswrangler
==============================================================

.. py:module:: ds_resource_plugin_py_lib.common.serde.deserialize.awswrangler

.. autoapi-nested-parse::

   **File:** ``awswrangler.py``
   **Region:** ``ds_resource_plugin_py_lib/common/serde/deserialize``

   Description
   -----------
   Deserialize a value into a pandas DataFrame using awswrangler.

   .. rubric:: Example

   .. code-block:: python

       import boto3

       from ds_resource_plugin_py_lib.common.serde.deserialize.awswrangler import AwsWranglerDeserializer
       from ds_resource_plugin_py_lib.common.resource.dataset.storage_format import DatasetStorageFormatType

       boto3_session = boto3.Session()
       deserializer = AwsWranglerDeserializer(format=DatasetStorageFormatType.PARQUET)

       df = deserializer("s3://my-bucket/path/to/data.parquet", boto3_session=boto3_session)



Attributes
----------

.. autoapisummary::

   ds_resource_plugin_py_lib.common.serde.deserialize.awswrangler.logger


Classes
-------

.. autoapisummary::

   ds_resource_plugin_py_lib.common.serde.deserialize.awswrangler.AwsWranglerDeserializer


Module Contents
---------------

.. py:data:: logger

.. py:class:: AwsWranglerDeserializer

   Bases: :py:obj:`ds_resource_plugin_py_lib.common.serde.deserialize.base.DataDeserializer`


   Extensible class to deserialize dataset content.

   Not supposed to be used directly, but to be subclassed.


   .. py:attribute:: format
      :type:  ds_resource_plugin_py_lib.common.resource.dataset.storage_format.DatasetStorageFormatType


   .. py:attribute:: kwargs
      :type:  dict[str, Any]


   .. py:method:: __call__(value: Any, **kwargs: Any) -> pandas.DataFrame

      Deserialize a value into a pandas DataFrame.
      :param value: The value to deserialize.
      :param \*\*kwargs: Additional keyword arguments.

      :returns: A pandas DataFrame.