示例#1
0
    def __init__(self, ax, labels, active=0, activecolor='blue'):
        """
        Add radio buttons to :class:`matplotlib.axes.Axes` instance *ax*

        *labels*
            A len(buttons) list of labels as strings

        *active*
            The index into labels for the button that is active

        *activecolor*
            The color of the button when clicked
        """
        self.activecolor = activecolor

        ax.set_xticks([])
        ax.set_yticks([])
        ax.set_navigate(False)
        dy = 1. / (len(labels) + 1)
        ys = np.linspace(1 - dy, dy, len(labels))
        cnt = 0
        axcolor = ax.get_axis_bgcolor()

        self.labels = []
        self.circles = []
        for y, label in zip(ys, labels):
            t = ax.text(0.25,
                        y,
                        label,
                        transform=ax.transAxes,
                        horizontalalignment='left',
                        verticalalignment='center')

            if cnt == active:
                facecolor = activecolor
            else:
                facecolor = axcolor

            p = Circle(xy=(0.15, y),
                       radius=0.05,
                       facecolor=facecolor,
                       transform=ax.transAxes)

            self.labels.append(t)
            self.circles.append(p)
            ax.add_patch(p)
            cnt += 1

        ax.figure.canvas.mpl_connect('button_press_event', self._clicked)
        self.ax = ax

        self.cnt = 0
        self.observers = {}
示例#2
0
def test_lines_dists():
    ax = pylab.gca()

    xs, ys = (0, 30), (20, 150)
    pylab.plot(xs, ys)
    points = zip(xs, ys)
    p0, p1 = points

    xs, ys = (0, 0, 20, 30), (100, 150, 30, 200)
    pylab.scatter(xs, ys)
    #
    dist = line2d_seg_dist(p0, p1, (xs[0], ys[0]))
    dist = line2d_seg_dist(p0, p1, npy.array((xs, ys)))
    for x, y, d in zip(xs, ys, dist):
        c = Circle((x, y), d, fill=0)
        ax.add_patch(c)
    #
    pylab.xlim(-200, 200)
    pylab.ylim(-200, 200)
    pylab.show()