"""
======================================================
Plot pseudo-fracturing index (sfi)
======================================================

visualizes the pseudo-fracturing index (sfi) used to speculate 
about the apparent resistivity dispersion ratio around the cumulated sum 
of the  resistivity values of the selected conductive zone.
"""
# Author: L.Kouadio 
# Licence: BSD-3-clause 

#%%
# Import required modules

import numpy as np 
from watex.utils.exmath import sfi, plot_sfi 
from watex.property import P
 

#%% 
# Compute the *sfi* values from generate resistivity values of 
# of  selected conductive zone.

rang = np.random.RandomState (42) 
condzone = np.abs(rang.randn (7)) *1e2
sfi_value = sfi (condzone)
print(sfi_value)

#%%
# * Visualizes naive `sfi` with selected conductive zone.  
# .. note:: `sfi` has a view parameter to simply visualize the conductive zone.
# The following code  shows the naive visualization of the *sfi* to have 
# quick depiction of the conductive zone.  
  
plotkws  = dict (rlabel = 'Conductive zone (cz)', 
                    label = 'fitting model',
                    leg =['selected conductive zone'],  # color=f'{P().frcolortags.get("fr3")}', 
                    dtype='sfi',
                )
_= sfi (condzone, view= True , s= 5, fig_size = (10, 4), style ='classic', 
          **plotkws )
          
#%%
# * Plot deep visualization with sfi components using :func:`~watex.utils.exmath.plot_sfi` 

plotkws  = dict (rlabel = 'Selected conductive zone (cz)', 
                     #label = 'sfi fit-model',
                     color=f'{P().frcolortags.get("fr3")}', 
                     )
plot_sfi (condzone,  fig_size = (10, 4), style ='classic', **plotkws)