:mod:`memote.experimental.experimental_base`
============================================

.. py:module:: memote.experimental.experimental_base

.. autoapi-nested-parse::

   Provide a class for medium definitions.

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Module Contents
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Classes
~~~~~~~

.. autoapisummary::

   memote.experimental.experimental_base.ExperimentalBase



.. py:class:: ExperimentalBase(identifier, obj, filename, **kwargs)

   Bases: :class:`object`

   Represent a specific medium condition.
















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   .. attribute:: SCHEMA
      

      

   .. attribute:: TRUTHY
      

      

   .. method:: load(self, dtype_conversion=None)

      Load the data table and corresponding validation schema.


      :Parameters:

          **dtype_conversion** : dict
              Column names as keys and corresponding type for loading the data.
              Please take a look at the `pandas documentation
              <https://pandas.pydata.org/pandas-docs/stable/io.html#specifying-column-data-types>`__
              for detailed explanations.














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   .. method:: validate(self, model, checks=None)

      Use a defined schema to validate the given table.
















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   .. staticmethod:: evaluate_report(report)

      Iterate over validation errors.
















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