pyValEIA.plots.mad_stat_plots
=============================

.. py:module:: pyValEIA.plots.mad_stat_plots

.. autoapi-nested-parse::

   Functions for visualizing Madrigal TEC EIA statistics.

   ..
       !! processed by numpydoc !!


Functions
---------

.. autoapisummary::

   pyValEIA.plots.mad_stat_plots.Mad_LSS_plot


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

.. py:function:: Mad_LSS_plot(model1, eia_type, date_range, model_name='Model', PorC='PC', DayNight=True, LT_range='day', coin=True)

   
   Plot LSS vs CSI or PC 4 panels (one for each LSS) for 1 model alone.


   :Parameters:

       **model1** : pd.DataFrame
           model DataFrame built by states_report_swarm

       **eia_type** : str
           desired eia type for fig title

       **date_range** : datetime range
           For plotting title purposes

       **model_name** : str kwarg
           first model name for labelling purposes

       **PorC** : str kwarg
           Percent correct or Critical success index for x axes

       **DayNight** : bool kwarg
           True (default) if panels should have separate markers for day and night
           otherwise (false) all are plotted together

       **LT_range** : list-like or str
           Range of day night local time, or 'day' for 7 LT to 19 LT and 'night'
           for 19 LT to 7 LT (default='day')

       **coin** : bool kwarg
           If True, coin LSS will be plotted for comparison (default)
           if false, coin LSS will not be plotted

       **Returns**
           ..

       **-------**
           ..

       **fig** : fig handle
           4 panel figure (one for each LSS)







   :Raises:

       ValueError
           Unexpected input values




   .. rubric:: Notes

   LSS is only useful in comparison to another model, therefore,
   coin set to True is highly recommended!



   ..
       !! processed by numpydoc !!