Plot scattering features

visualizes correlation of two or more features with bivariate and univariate graphs.

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

from watex.view.plot import  QuickPlot
from watex.datasets import load_bagoue
data = load_bagoue ().frame
qkObj = QuickPlot(lc='b', sns_style ='darkgrid',
                 fig_title='geol vs level of water inrush (m) ',
                xlabel='Level of water inrush (lwi) in meters',
                 ylabel='Flow rate in m3/h'
                )
qkObj.tname='flow' # target the DC-flow rate prediction dataset
qkObj.mapflow=True  # to hold category FR0, FR1 etc..
qkObj.fig_size=(7, 5)
qkObj.fit(data)
marker_list= ['o','s','P', 'H']
markers_dict = {key:mv for key, mv in zip( list (
                           dict(qkObj.data ['geol'].value_counts(
                               normalize=True)).keys()),
                               marker_list)}
sns_pkws={'markers':markers_dict,
              'sizes':(20, 200),
              "hue":'geol',
              'style':'geol',
            "palette":'deep',
              'legend':'full',
              # "hue_norm":(0,7)
                }
regpl_kws = {'col':'flow',
           'hue':'lwi',
             'style':'geol',
            'kind':'scatter'
           }
qkObj.scatteringfeatures(features=['lwi', 'flow'],
                         relplot_kws=regpl_kws,
                         **sns_pkws,
                    )

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QuickPlot(savefig= None, fig_num= 1, fig_size= (7, 5), ... , classes= None, tname= flow, mapflow= True)