Quick visualisation

iris_plot.py

def plot_data(*args, **kwargs):
    save = kwargs.pop('save', False)

    import matplotlib.pyplot as plt
    import iris.plot as iplt

    markers = ('+', 'x', 's')

    if save is True:
        plt.switch_backend('Agg')
    else:
        plt.switch_backend('TkAgg')

    plt.figure(figsize=(6*len(args), 6))
    for ind, source in enumerate(args):
        #plt.subplot(1, len(args), ind)
        print source
        iplt.points(source, marker=markers[ind], s=60)
    ax = plt.gca()
        #xcoord = source.coord(axis='x')
        #xpnts = xcoord.bounds if xcoord.has_bounds() else xcoord.points
        #ax.set_xlim(xpnts.min(), xpnts.max())
    ax.coastlines()
        #plt.colorbar()
    if save:
        import time
        fnme = 'image.{}.png'.format(time.time())
        print 'Printing to file: {}'.format(fnme)
        plt.savefig(fnme)
    else:
        plt.show()