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# Webapp Demo

This example shows how to use the agg backend directly to create images, which may be of use to web application developers who want full control over their code without using the pyplot interface to manage figures, figure closing etc.

Note

It is not necessary to avoid using the pyplot interface in order to create figures without a graphical front-end - simply setting the backend to “Agg” would be sufficient.

It is also worth noting that, because matplotlib can save figures to file-like object, matplotlib can also be used inside a cgi-script without needing to write a figure to disk.

    from matplotlib.backends.backend_agg import FigureCanvasAgg
    from matplotlib.figure import Figure
    import numpy as np

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    def make_fig():
        """
        Make a figure and save it to "webagg.png".

        """
        fig = Figure()
        ax = fig.add_subplot(1, 1, 1)

        ax.plot([1, 2, 3], 'ro--', markersize=12, markerfacecolor='g')

        # make a translucent scatter collection
        x = np.random.rand(100)
        y = np.random.rand(100)
        area = np.pi * (10 * np.random.rand(100)) ** 2  # 0 to 10 point radii
        c = ax.scatter(x, y, area)
        c.set_alpha(0.5)

        # add some text decoration
        ax.set_title('My first image')
        ax.set_ylabel('Some numbers')
        ax.set_xticks((.2, .4, .6, .8))
        labels = ax.set_xticklabels(('Bill', 'Fred', 'Ted', 'Ed'))

        # To set object properties, you can either iterate over the
        # objects manually, or define you own set command, as in setapi
        # above.
        for label in labels:
            label.set_rotation(45)
            label.set_fontsize(12)

        FigureCanvasAgg(fig).print_png('webapp.png', dpi=150)

    make_fig()

Total running time of the script: ( 0 minutes 0.000 seconds)

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