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#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
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 ultilise an 8x8 figure like this, we'd have to
first transform it into a feature vector with lengh 64.
See `here
<http://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits>`_
for more information about this dataset.
"""
print __doc__
# Code source: Gael Varoqueux
# Modified for Documentation merge by Jaques Grobler
# License: BSD
from sklearn import datasets
import pylab as pl
#Load the digits dataset
digits = datasets.load_digits()
#Display the first digit
pl.figure(1, figsize=(3, 3))
pl.imshow(digits.images[-1], cmap=pl.cm.gray_r, interpolation='nearest')
pl.show()
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