Plot logging predictor

plots the predictor \(X\) only composed of hydro-geophysical features

# Author: L.Kouadio
# Licence: BSD-3-clause

import matplotlib.pyplot as plt
from watex.datasets import load_hlogs
from watex.methods.hydro import Logging
# get the logging data
h = load_hlogs ()

log= Logging(kname ='k', zname='depth_top' ).fit(h.frame[h.feature_names])
# Uncomment this see all the predictor predictor X
# except the categorial feature like strata
# log.plot ()

# for a clariyy , we will plot only the logging features
features = ['depth_top',
     'resistivity',
     'gamma_gamma',
     'natural_gamma',
     'sp',
     'short_distance_gamma',
     ]

log= Logging(kname ='k', zname='depth_top' ).fit(h.frame[features])
log.plot ()
plt.tight_layout()