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

    Click :ref:`here <sphx_glr_download_packages_scikit-learn_auto_examples_plot_iris_scatter.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_packages_scikit-learn_auto_examples_plot_iris_scatter.py:


Plot 2D views of the iris dataset
=================================

Plot a simple scatter plot of 2 features of the iris dataset.

Note that more elaborate visualization of this dataset is detailed
in the :ref:`statistics` chapter.




.. image:: /packages/scikit-learn/auto_examples/images/sphx_glr_plot_iris_scatter_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    # Load the data
    from sklearn.datasets import load_iris
    iris = load_iris()

    from matplotlib import pyplot as plt

    # The indices of the features that we are plotting
    x_index = 0
    y_index = 1

    # this formatter will label the colorbar with the correct target names
    formatter = plt.FuncFormatter(lambda i, *args: iris.target_names[int(i)])

    plt.figure(figsize=(5, 4))
    plt.scatter(iris.data[:, x_index], iris.data[:, y_index], c=iris.target)
    plt.colorbar(ticks=[0, 1, 2], format=formatter)
    plt.xlabel(iris.feature_names[x_index])
    plt.ylabel(iris.feature_names[y_index])

    plt.tight_layout()
    plt.show()

**Total running time of the script:** ( 0 minutes  0.055 seconds)


.. _sphx_glr_download_packages_scikit-learn_auto_examples_plot_iris_scatter.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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