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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_plot_plot_wine.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_plot_plot_wine.py:


Wine Classification Dataset Visualization
==========================================

.. GENERATED FROM PYTHON SOURCE LINES 5-16



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


    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_001.png
         :alt: Target distribution
         :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_002.png
         :alt: F=2.34E+02, F=2.08E+02, F=1.90E+02, F=1.35E+02, F=1.21E+02, F=1.01E+02, F=9.37E+01, F=3.69E+01, F=3.58E+01, F=3.03E+01, F=2.76E+01, F=1.33E+01, F=1.24E+01
         :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_003.png
         :alt: Top feature interactions, 0.968, 0.950, 0.946, 0.902
         :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_004.png
         :alt: Discriminating PCA directions, 0.950, 0.905, 0.868, Scree plot (PCA explained variance)
         :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_wine_005.png
         :alt: Discriminating LDA directions, 1.000
         :srcset: /auto_examples/plot/images/sphx_glr_plot_wine_005.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none

    Target looks like classification
    Linear Discriminant Analysis training set score: 1.000






|

.. code-block:: default

    # sphinx_gallery_thumbnail_number = 4
    import matplotlib.pyplot as plt
    from sklearn.datasets import load_wine
    from dabl import plot
    from dabl.utils import data_df_from_bunch

    wine_bunch = load_wine()
    wine_df = data_df_from_bunch(wine_bunch)

    plot(wine_df, target_col='target')
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  3.429 seconds)


.. _sphx_glr_download_auto_examples_plot_plot_wine.py:

.. only:: html

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


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

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

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

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


.. only:: html

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

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