.. _sphx_glr_auto_examples_datasets_plot_digits_last_image.py:


=========================================================
The Digit Dataset
=========================================================

This dataset is made up of 1797 8x8 images. Each image,
like the one shown below, is of a hand-written digit.
In order to utilize an 8x8 figure like this, we'd have to
first transform it into a feature vector with length 64.

See `here
<http://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits>`_
for more information about this dataset.



.. image:: /auto_examples/datasets/images/sphx_glr_plot_digits_last_image_001.png
    :align: center





.. code-block:: python

    print(__doc__)


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

    from sklearn import datasets

    import matplotlib.pyplot as plt

    #Load the digits dataset
    digits = datasets.load_digits()

    #Display the first digit
    plt.figure(1, figsize=(3, 3))
    plt.imshow(digits.images[-1], cmap=plt.cm.gray_r, interpolation='nearest')
    plt.show()

**Total running time of the script:**
(0 minutes 0.204 seconds)



.. container:: sphx-glr-download

    **Download Python source code:** :download:`plot_digits_last_image.py <plot_digits_last_image.py>`


.. container:: sphx-glr-download

    **Download IPython notebook:** :download:`plot_digits_last_image.ipynb <plot_digits_last_image.ipynb>`