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


==============================================
Explained variance ratio 
==============================================

visualizes the explained variance ratio using 
the test data looking at the steps behind the PCA

.. GENERATED FROM PYTHON SOURCE LINES 9-12

.. code-block:: Python

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








.. GENERATED FROM PYTHON SOURCE LINES 13-18

Call the test data: Bagoue datasets
---------------------------------------

The first raw dataset is selected using `data=dfy1` passed to the get method
see more in :class:`~watex.proerty.BagoueNotes`. 

.. GENERATED FROM PYTHON SOURCE LINES 18-31

.. code-block:: Python


    import matplotlib.pyplot as plt 
    from watex.exlib.sklearn import SimpleImputer 
    from watex.utils import selectfeatures 
    from watex.datasets import fetch_data 
    data= fetch_data("bagoue original").get('data=dfy1') # encoded flow categories 
    y = data.flow ; X= data.drop(columns='flow') 
    # select the numerical features 
    X =selectfeatures(X, include ='number')
    # imputed the missing data 
    X = SimpleImputer().fit_transform(X)









.. GENERATED FROM PYTHON SOURCE LINES 32-34

Total variance ratio
-------------------------

.. GENERATED FROM PYTHON SOURCE LINES 34-39

.. code-block:: Python


    from watex.analysis import total_variance_ratio 
     # Use the X value in the example of `extract_pca` function   
    total_variance_ratio(X, view=True)

    plt.show() 


.. image-sg:: /glr_examples/analysis/images/sphx_glr_plot_explained_variance_ratio_001.png
   :alt: plot explained variance ratio
   :srcset: /glr_examples/analysis/images/sphx_glr_plot_explained_variance_ratio_001.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.184 seconds)


.. _sphx_glr_download_glr_examples_analysis_plot_explained_variance_ratio.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/analysis/plot_explained_variance_ratio.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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