32 lines
875 B
Python
32 lines
875 B
Python
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"""
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=========================================================
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The Digit Dataset
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=========================================================
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This dataset is made up of 1797 8x8 images. Each image,
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like the one shown below, is of a hand-written digit.
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In order to utilize an 8x8 figure like this, we'd have to
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first transform it into a feature vector with length 64.
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See `here
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<https://archive.ics.uci.edu/dataset/81/pen+based+recognition+of+handwritten+digits>`_
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for more information about this dataset.
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"""
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# Code source: Gaël Varoquaux
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# Modified for documentation by Jaques Grobler
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# License: BSD 3 clause
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import matplotlib.pyplot as plt
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from sklearn import datasets
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# Load the digits dataset
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digits = datasets.load_digits()
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# Display the last digit
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plt.figure(1, figsize=(3, 3))
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plt.imshow(digits.images[-1], cmap=plt.cm.gray_r, interpolation="nearest")
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plt.show()
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