clustermap add a legend
colorVec1 = (["lightgray"] * (A.shape[0]) + ["darkorange"] * (B.shape[0]) + ["seagreen"] * (C.shape[0]) ) g = sns.clustermap(corr_totalData, robust=True, col_colors = colorVec1, row_colors = colorVec1, rasterized = True) species = pd.Series(data=colorVec1) lut = dict(zip(species.unique(), ['lightgray','darkorange','seagreen'])) from matplotlib.patches import Patch handles = [Patch(facecolor=lut[name]) for name in lut] plt.legend(handles, lut, title='experiment', bbox_to_anchor=(1, 1), bbox_transform=plt.gcf().transFigure, loc='upper right')
这就是我想要的!