"""
===================================
Plot confidence in EM data
===================================

plot the confidence in the data to determine the 
weak and useless signals for restoring or deleting.  
"""
# Author: L.Kouadio 
# Licence: BSD-3-clause

# %%
# The default tensor for evaluating the data confidence is the resistivity 
# at TE mode ('xy'). 
#
# Check confidence in the data before starting the concrete processing 
# seems meaningful. In the area with complex terrain, with high topography 
# addition to interference noises, signals are weals or missing 
# especially when using :term:`AMT` survey. The most common technique to 
# do this is to eliminate the bad frequency and interpolate the remains one. 
# However, the tricks for eliminating frequency differ from one author 
# to another. Here, the tip using the data confidence seems meaningful
# to indicate which frequencies to eliminate (at which stations/sites)
# and which ones are still recoverable using the tensor recovering 
# strategy (:meth:`~watex.methods.Processing.zrestore`)  
#
# The plot implements three levels of confidence: 
#   
# - High confidence: :math:`conf. \geq 0.95` values greater than 95% 
# - Soft confidence: :math:`0.5 \leq conf. < 0.95`. The data in this 
#   confidence range can be beneficial for tensor recovery to restore 
#   the weak and missing signals. 
# - bad confidence: :math:`conf. <0.5`. Data in this interval must be 
#   deleted.
# In the following, we used 25 samples of :term:`EDI` data from a locality 
# where :term:`AMT` data is collected with strong interference noises.  
# %% 
# * Plot confidence in two-dimensional view
# Two-dimensional view is ensured by the parameter ``view`` set to ``2d``. 
import watex as wx 
from watex.utils import plot_confidence_in
edi_data= wx.fetch_data ( 'huayuan', samples = 25, key='raw', return_data =True, clear_cache =True)
plot_confidence_in (edi_data , distance =20 ,  view ='2d', figsize =(6, 2)
                     )
# %% 
# * Plot one-dimensional confidency in :term:`EDI` data 
# Turn of ``view`` parameter to ``None`` to visualize the one dimensional 
# view or use any other value passed to the ``view`` parameter. 
# Here is an example in confidencity plot in 1D. 
plot_confidence_in (edi_data , distance =20 ,  figsize =(6, 3),fontsize =5,)