scikit learn digits example

digits.py

# load the digits dataset
from sklearn import datasets
digits = datasets.load_digits()

# show the data
digits.data

# show the answers
digits.target

# each item is a 2D array
digits.data[0]

# the original image is an 8,8 array
digits.images[0]

# show an image
from matplotlib import pyplot as plt
plt.imshow(digits.images[0], interpolation='nearest')
plt.show()

# import an estimator to do the predicting
from sklearn import svm

# set it up with some params
clf = svm.SVC(gamma=0.001, C=100.)

# train it on all but the last digit
clf.fit(digits.data[:-1], digits.target[:-1])

# predict the last digit
clf.predict(digits.data[-1:])

# check the 'answer' for the last digit
digits.target[-1:]