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


======================================================
Plot principal components analysis (PCA) components 
======================================================

visualizes the PCA coefficients  as a heatmap  

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: Python

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








.. GENERATED FROM PYTHON SOURCE LINES 12-13

Plot can be made with PCA objects 

.. GENERATED FROM PYTHON SOURCE LINES 13-21

.. code-block:: Python


    from watex.datasets import fetch_data
    from watex.utils.plotutils import plot_pca_components
    from watex.analysis import nPCA 
    X, _= fetch_data('bagoue pca') 
    pca = nPCA (X, n_components=2, return_X =False)# to return object 
    plot_pca_components (pca)




.. image-sg:: /glr_examples/utils/images/sphx_glr_plot_pca_components_001.png
   :alt: plot pca components
   :srcset: /glr_examples/utils/images/sphx_glr_plot_pca_components_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 22-23

Plot made using the components and features individually 

.. GENERATED FROM PYTHON SOURCE LINES 23-27

.. code-block:: Python


    components = pca.components_ 
    features = pca.feature_names_in_
    plot_pca_components (components, feature_names= features, 
                             cmap='jet_r')


.. image-sg:: /glr_examples/utils/images/sphx_glr_plot_pca_components_002.png
   :alt: plot pca components
   :srcset: /glr_examples/utils/images/sphx_glr_plot_pca_components_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.458 seconds)


.. _sphx_glr_download_glr_examples_utils_plot_pca_components.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/utils/plot_pca_components.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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