tissue_analysis.py 文件源码

def plot_labelprop_mpl(coords, communities, file_name=None, title=''):
    u_community = np.unique(communities)

    cmap = matplotlib.cm.tab20
    cmap.set_over('black')

    ix = np.random.permutation(np.arange(coords.shape[0], dtype=int))
    x = coords[ix, 0]
    y = coords[ix, 1]

    fig = matplotlib.figure.Figure(figsize=(12, 12))
    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])

    ax.scatter(x, y, s=60, alpha=0.8, linewidth=0,
               color=cmap(communities[ix]))
    ax.tick_params(left='off', labelleft='off', bottom='off', labelbottom='off')

    ax.set_title(title)

    lbl_rects = [(Circle((0, 0), 1, color=cmap(c)), c) for c in u_community]

    fig.legend(*zip(*lbl_rects), **{'handler_map': {Circle: HandlerCircle()},
                                    'loc': 7, 'fontsize': 'large'})

    if file_name:
        FigureCanvasAgg(fig).print_figure(file_name)