ggt.modules.result_aggregator
=============================

.. py:module:: ggt.modules.result_aggregator


Functions
---------

.. autoapisummary::

   ggt.modules.result_aggregator.calculate_cdf
   ggt.modules.result_aggregator.find_idx_nearest_val
   ggt.modules.result_aggregator.calculate_ci
   ggt.modules.result_aggregator.expit_custom
   ggt.modules.result_aggregator.unscale_preds
   ggt.modules.result_aggregator.file_loader
   ggt.modules.result_aggregator.bayesian_inference_file_gobbler
   ggt.modules.result_aggregator.create_summary_df
   ggt.modules.result_aggregator.save_pdfs
   ggt.modules.result_aggregator.main


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

.. py:function:: calculate_cdf(data, n=1000, warnings=True)

.. py:function:: find_idx_nearest_val(array, value)

.. py:function:: calculate_ci(data, n=1000, warnings=False)

.. py:function:: expit_custom(x_input, scaling_array=None)

   Performs a custom implementation of Scipy's expit
   function. If the scaling array is supplied, it does
   the unscaling keeping in mind how 0s and 1s were mapped
   to different values while the scaling was done.
   expit is the inverse of the logit function.


.. py:function:: unscale_preds(df_input, scaling_df_path=None, drop_old=True)

.. py:function:: file_loader(args)

.. py:function:: bayesian_inference_file_gobbler(data_dir, num=300, unscale=False, scaling_df_path=None, drop_old=True)

.. py:function:: create_summary_df(data)

   This function takes the xarray produced by
   bayesian_inference_file_gobbler and then produces
   a dataframe with summary statistics.


.. py:function:: save_pdfs(args)

.. py:function:: main(data_dir, num, out_summary_df_path, out_pdfs_path, unscale, scaling_df_path, drop_old)

   A function which performs all the above steps
   necessary to prepeare the data for analysis