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# Pie Demo2

Make a pie charts of varying size - see http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie for the docstring.

This example shows a basic pie charts with labels optional features, like autolabeling the percentage, offsetting a slice with “explode” and adding a shadow, in different sizes.

    import matplotlib.pyplot as plt
    from matplotlib.gridspec import GridSpec

    # Some data

    labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
    fracs = [15, 30, 45, 10]

    explode = (0, 0.05, 0, 0)

    # Make square figures and axes

    the_grid = GridSpec(2, 2)

    plt.subplot(the_grid[0, 0], aspect=1)

    plt.pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)

    plt.subplot(the_grid[0, 1], aspect=1)

    plt.pie(fracs, explode=explode, labels=labels, autopct='%.0f%%', shadow=True)

    plt.subplot(the_grid[1, 0], aspect=1)

    patches, texts, autotexts = plt.pie(fracs, labels=labels,
                                        autopct='%.0f%%',
                                        shadow=True, radius=0.5)

    # Make the labels on the small plot easier to read.
    for t in texts:
        t.set_size('smaller')
    for t in autotexts:
        t.set_size('x-small')
    autotexts[0].set_color('y')

    plt.subplot(the_grid[1, 1], aspect=1)

    # Turn off shadow for tiny plot with exploded slice.
    patches, texts, autotexts = plt.pie(fracs, explode=explode,
                                        labels=labels, autopct='%.0f%%',
                                        shadow=False, radius=0.5)
    for t in texts:
        t.set_size('smaller')
    for t in autotexts:
        t.set_size('x-small')
    autotexts[0].set_color('y')

    plt.show()

Total running time of the script: ( 0 minutes 0.192 seconds)

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