:py:mod:`abacusai.dataset_column`
=================================

.. py:module:: abacusai.dataset_column


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

Classes
~~~~~~~

.. autoapisummary::

   abacusai.dataset_column.DatasetColumn




.. py:class:: DatasetColumn(client, name=None, dataType=None, detectedDataType=None, featureType=None, detectedFeatureType=None, originalName=None, validDataTypes=None, timeFormat=None, timestampFrequency=None)

   Bases: :py:obj:`abacusai.return_class.AbstractApiClass`

   A schema description for a column

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param name: The unique name of the column.
   :type name: str
   :param dataType: The underlying data type of each column:  INTEGER,  FLOAT,  STRING,  DATE,  DATETIME,  BOOLEAN,  LIST,  STRUCT.  Refer to the (guide on data types)[https://api.abacus.ai/app/help/class/DataType] for more information.
   :type dataType: str
   :param detectedDataType: The detected data type of the column
   :type detectedDataType: str
   :param featureType: Feature Type of the column
   :type featureType: str
   :param detectedFeatureType: The feature type of the column
   :type detectedFeatureType: str
   :param originalName: The original name of the column
   :type originalName: str
   :param validDataTypes: The valid data type options for this column
   :type validDataTypes: list of enum string
   :param timeFormat: The detected time format of the column
   :type timeFormat: str
   :param timestampFrequency: The detected frequency of the timestamps in the dataset
   :type timestampFrequency: str

   .. py:method:: __repr__()

      Return repr(self).


   .. py:method:: to_dict()

      Get a dict representation of the parameters in this class

      :returns: The dict value representation of the class parameters
      :rtype: dict



