:mod:`mdf_reader.validator.validate`
====================================

.. py:module:: mdf_reader.validator.validate

.. autoapi-nested-parse::

   Created on Tue Apr 30 09:38:17 2019

   Validates elements in a pandas DataFrame against its input data model. Output
   is a boolean DataFrame

   Validated elements are those with the following column_types:
       - any in properties.numeric_types: range validation
       - 'key': code table validation
       - 'datetime': because of the way they are converted, read into datetime,
       they should already be NaT if they not validate as a valid datetime. The
       correspoding mask is just created for them

   DEV notes:
   need to add tolerance to the numeric range validation

   @author: iregon



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


Functions
~~~~~~~~~

.. autoapisummary::

   mdf_reader.validator.validate.validate_numeric
   mdf_reader.validator.validate.validate_codes
   mdf_reader.validator.validate.validate



.. function:: validate_numeric(elements, data, schema)


.. function:: validate_codes(elements, data, code_tables_path, schema, supp=False)


.. function:: validate(data, mask0, schema, code_tables_path)