.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "glr_examples/view/plot_scattering_features.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_glr_examples_view_plot_scattering_features.py>`
        to download the full example code or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_glr_examples_view_plot_scattering_features.py:


===================================
Plot scattering features
===================================

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

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: Python

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








.. GENERATED FROM PYTHON SOURCE LINES 12-45

.. code-block:: Python

    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, 
                        )


.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /glr_examples/view/images/sphx_glr_plot_scattering_features_001.png
         :alt: geol vs level of water inrush (m) 
         :srcset: /glr_examples/view/images/sphx_glr_plot_scattering_features_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /glr_examples/view/images/sphx_glr_plot_scattering_features_002.png
         :alt: flow = FR2, flow = FR0, flow = FR1, flow = FR3
         :srcset: /glr_examples/view/images/sphx_glr_plot_scattering_features_002.png
         :class: sphx-glr-multi-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


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




.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 1.124 seconds)


.. _sphx_glr_download_glr_examples_view_plot_scattering_features.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/watex/watex/0.3.X?urlpath=lab/tree/notebooks/glr_examples/view/plot_scattering_features.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_scattering_features.ipynb <plot_scattering_features.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_scattering_features.py <plot_scattering_features.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_