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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_datasets_plot_iris_dataset.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_auto_examples_datasets_plot_iris_dataset.py:


=========================================================
The Iris Dataset
=========================================================
This data sets consists of 3 different types of irises'
(Setosa, Versicolour, and Virginica) petal and sepal
length, stored in a 150x4 numpy.ndarray

The rows being the samples and the columns being:
Sepal Length, Sepal Width, Petal Length and Petal Width.

The below plot uses the first two features.
See `here <https://en.wikipedia.org/wiki/Iris_flower_data_set>`_ for more
information on this dataset.

.. GENERATED FROM PYTHON SOURCE LINES 18-72



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


    *

      .. image-sg:: /auto_examples/datasets/images/sphx_glr_plot_iris_dataset_001.png
         :alt: First three PCA directions
         :srcset: /auto_examples/datasets/images/sphx_glr_plot_iris_dataset_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/datasets/images/sphx_glr_plot_iris_dataset_002.png
         :alt: plot iris dataset
         :srcset: /auto_examples/datasets/images/sphx_glr_plot_iris_dataset_002.png
         :class: sphx-glr-multi-img


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

 Out:

 .. code-block:: none

    /home/circleci/project/examples/datasets/plot_iris_dataset.py:52: MatplotlibDeprecationWarning: Axes3D(fig) adding itself to the figure is deprecated since 3.4. Pass the keyword argument auto_add_to_figure=False and use fig.add_axes(ax) to suppress this warning. The default value of auto_add_to_figure will change to False in mpl3.5 and True values will no longer work in 3.6.  This is consistent with other Axes classes.
      ax = Axes3D(fig, elev=-150, azim=110)






|

.. code-block:: default


    # Code source: Gaël Varoquaux
    # Modified for documentation by Jaques Grobler
    # License: BSD 3 clause

    import matplotlib.pyplot as plt
    from mpl_toolkits.mplot3d import Axes3D
    from sklearn import datasets
    from sklearn.decomposition import PCA

    # import some data to play with
    iris = datasets.load_iris()
    X = iris.data[:, :2]  # we only take the first two features.
    y = iris.target

    x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5
    y_min, y_max = X[:, 1].min() - 0.5, X[:, 1].max() + 0.5

    plt.figure(2, figsize=(8, 6))
    plt.clf()

    # Plot the training points
    plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Set1, edgecolor="k")
    plt.xlabel("Sepal length")
    plt.ylabel("Sepal width")

    plt.xlim(x_min, x_max)
    plt.ylim(y_min, y_max)
    plt.xticks(())
    plt.yticks(())

    # To getter a better understanding of interaction of the dimensions
    # plot the first three PCA dimensions
    fig = plt.figure(1, figsize=(8, 6))
    ax = Axes3D(fig, elev=-150, azim=110)
    X_reduced = PCA(n_components=3).fit_transform(iris.data)
    ax.scatter(
        X_reduced[:, 0],
        X_reduced[:, 1],
        X_reduced[:, 2],
        c=y,
        cmap=plt.cm.Set1,
        edgecolor="k",
        s=40,
    )
    ax.set_title("First three PCA directions")
    ax.set_xlabel("1st eigenvector")
    ax.w_xaxis.set_ticklabels([])
    ax.set_ylabel("2nd eigenvector")
    ax.w_yaxis.set_ticklabels([])
    ax.set_zlabel("3rd eigenvector")
    ax.w_zaxis.set_ticklabels([])

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.141 seconds)


.. _sphx_glr_download_auto_examples_datasets_plot_iris_dataset.py:


.. only :: html

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


  .. container:: binder-badge

    .. image:: images/binder_badge_logo.svg
      :target: https://mybinder.org/v2/gh/scikit-learn/scikit-learn/1.0.X?urlpath=lab/tree/notebooks/auto_examples/datasets/plot_iris_dataset.ipynb
      :alt: Launch binder
      :width: 150 px


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

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



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

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


.. only:: html

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

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