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# Annotate Transform

    import numpy as np
    import matplotlib.pyplot as plt

    x = np.arange(0, 10, 0.005)
    y = np.exp(-x/2.) * np.sin(2*np.pi*x)

    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.plot(x, y)
    ax.set_xlim(0, 10)
    ax.set_ylim(-1, 1)

    xdata, ydata = 5, 0
    xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))

    bbox = dict(boxstyle="round", fc="0.8")
    arrowprops = dict(
        arrowstyle = "->",
        connectionstyle = "angle,angleA=0,angleB=90,rad=10")

    offset = 72
    ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),
                (xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
                bbox=bbox, arrowprops=arrowprops)

    disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),
                (xdisplay, ydisplay), xytext=(0.5*offset, -offset),
                xycoords='figure pixels',
                textcoords='offset points',
                bbox=bbox, arrowprops=arrowprops)

    plt.show()

Total running time of the script: ( 0 minutes 0.023 seconds)

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