.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "glr_examples/view/plot_multiple_feature_distributions.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_multiple_feature_distributions.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_multiple_feature_distributions.py:


================================================
Plot multiple categorical feature distributions 
================================================

plots a multiple categorical distributions onto a FacetGrid

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: Python

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








.. GENERATED FROM PYTHON SOURCE LINES 12-24

.. code-block:: Python

    from watex.view.plot import QuickPlot 
    from watex.datasets import load_bagoue 
    data = load_bagoue ().frame
    qplotObj= QuickPlot(lc='b', tname='flow')
    qplotObj.sns_style = 'darkgrid'
    qplotObj.mapflow=True # to categorize the flow rate 
    qplotObj.fit(data)
    fdict={
               'x':['shape', 'type', 'type'], 
               'col':['type', 'geol', 'shape'], 
               'hue':['flow', 'flow', 'geol'],
               } 
    qplotObj.multicatdist(**fdict)


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


    *

      .. image-sg:: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_001.png
         :alt: type = CP, type = EC, type = NC, type = CB2P
         :srcset: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_002.png
         :alt: geol = VOLCANO-SEDIM. SCHISTS, geol = GRANITES, geol = GEOSYN. GRANITES, geol = GNEISS-MIGMATITES
         :srcset: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_003.png
         :alt: shape = W, shape = V, shape = C, shape = K, shape = U
         :srcset: /glr_examples/view/images/sphx_glr_plot_multiple_feature_distributions_003.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none



    QuickPlot(savefig= None, fig_num= 1, fig_size= (12, 8), ... , classes= None, tname= flow, mapflow= True)




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

   **Total running time of the script:** (0 minutes 2.253 seconds)


.. _sphx_glr_download_glr_examples_view_plot_multiple_feature_distributions.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_multiple_feature_distributions.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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