.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` 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_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
`_
for more information about this dataset.
.. image:: /auto_examples/datasets/images/sphx_glr_plot_digits_last_image_001.png
:alt: plot digits last image
:class: sphx-glr-single-img
.. code-block:: default
print(__doc__)
# Code source: Gaƫl 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()
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.104 seconds)
.. _sphx_glr_download_auto_examples_datasets_plot_digits_last_image.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: binder-badge
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/scikit-learn/scikit-learn/0.23.X?urlpath=lab/tree/notebooks/auto_examples/datasets/plot_digits_last_image.ipynb
:width: 150 px
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: plot_digits_last_image.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: plot_digits_last_image.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_