基本信息

---

下载

   友情提示：（无需注册或充值，赞助后即可获取资源下载链接）

---

     嘿，亲！知识可是无价之宝呢，但咱这精心整理的资料也耗费了不少心血呀。小小地破费一下，绝对物超所值哦！如有下载和支付问题，请联系我们QQ(微信同号)：813200300

本次赞助数额为： 2 元　

支付宝支付

微信支付

   源码介绍

---

import matplotlib.pyplot as plt import numpy as np from matplotlib.cbook import get_sample_data from mpl_toolkits import axes_grid1 import example_utils def main(): fig, axes = setup_axes() plot(axes, *load_data()) # example_utils.title(fig, '"ax.imshow(data, ...)": Colormapped or RGB arrays') fig.savefig('imshow_example.png', facecolor='none') plt.show() def plot(axes, img_data, scalar_data, ny): # 默认线性插值 axes[0].imshow(scalar_data, cmap='gist_earth', extent=[0, ny, ny, 0]) # 最近邻插值 axes[1].imshow(scalar_data, cmap='gist_earth', interpolation='nearest', extent=[0, ny, ny, 0]) # 展示RGB/RGBA数据 axes[2].imshow(img_data) def load_data(): img_data = plt.imread(get_sample_data('5.png')) ny, nx, nbands = img_data.shape scalar_data = np.load(get_sample_data('bivariate_normal.npy')) return img_data, scalar_data, ny def setup_axes(): fig = plt.figure(figsize=(6, 3)) axes = axes_grid1.ImageGrid(fig, [0, 0, .93, 1], (1, 3), axes_pad=0) for ax in axes: ax.set(xticks=[], yticks=[]) return fig, axes