#! usr/bin/python #coding=utf-8 import numpy as np import matplotlib.pyplot as plt data=np.random.rand(10,10) fig, ax=plt.subplots() data[data==-1]=np.nan#去掉缺省值-1 im =ax.imshow(data,interpolation='none',cmap='Reds_r',vmin=0.6,vmax=.9)#不插值 ax.set_xticks([]) ax.set_yticks([]) ######################################################################## fig.savefig('te.png')