Exemplo n.º 1
0
def make_figure_dist_by_mag(extractors, what):
    """
    $ oq plot "dist_by_mag?"
    """
    # NB: matplotlib is imported inside since it is a costly import
    import matplotlib.pyplot as plt
    [ex] = extractors
    effect = ex.get('effect')
    mags = ['%.2f' % mag for mag in effect.mags]
    fig, ax = plt.subplots()
    trti = 0
    for trt, dists in effect.dist_bins.items():
        dic = dict(zip(mags, effect[:, :, trti]))
        if ex.oqparam.pointsource_distance:
            pdist = getdefault(ex.oqparam.pointsource_distance, trt)
        else:
            pdist = None
        eff = Effect(dic, dists, pdist)
        dist_by_mag = eff.dist_by_mag()
        ax.plot(effect.mags,
                list(dist_by_mag.values()),
                label=trt,
                color='red')
        if pdist:
            dist_by_mag = eff.dist_by_mag(eff.collapse_value)
            ax.plot(effect.mags,
                    list(dist_by_mag.values()),
                    label=trt,
                    color='green')
        ax.set_xlabel('Mag')
        ax.set_ylabel('Dist')
        ax.set_title('Integration Distance at intensity=%s' % eff.zero_value)
        trti += 1
    ax.legend()
    return plt
Exemplo n.º 2
0
    def test_dist_by_mag(self):
        effect = Effect(intensities, dists)
        dist = list(effect.dist_by_mag(0).values())
        numpy.testing.assert_allclose(dist, [50, 50, 50, 50])

        dist = list(effect.dist_by_mag(.9).values())
        numpy.testing.assert_allclose(dist, [12, 15, 19.677419, 20])

        dist = list(effect.dist_by_mag(1.1).values())
        numpy.testing.assert_allclose(dist, [0, 10, 13.225806, 16.666667])