参考自Matplotlib Python 画图教程 (莫烦Python)(13)_演讲•公开课_科技_bilibili_哔哩哔哩 https://www.bilibili.com/video/av16378354/index_10.html#page=13
"""输出栅格图片""" import numpy as np import matplotlib.pyplot as plt # image data a = np.array([0.3136, 0.4653, 0.5237, 0.2453, 0.7395, 0.1250, 0.4237, 0.8230, 0.6515]).reshape(3, 3) # 插值方法为最临近插值,还有双线性插值等,origin表示a矩阵的方向lower是对调 plt.imshow(a, interpolation='nearest', cmap='bone', origin='upper') plt.colorbar(shrink=0.9) # colorbar压缩为栅格高度的90% plt.xticks([]) plt.yticks([]) plt.show()