Plot logging Predictor and target

plots the logging data by including the target y containing the permeability coefficient k

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

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 the line below to plot all the feature that composed the 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',
     ]

log= Logging(kname ='k', zname='depth_top' ).fit(h.frame[features])
# put target at the first position
log.plot (y = h.frame.k, draw_spines =(0, 7), posiy= 0, colors =['r', 'k', 'b', 'm', 'c'])

Logging(zname= depth_top, kname= k, verbose= 0)