matplotlib 显示两张图片，折线图和 scipy

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显示两张图片的代码：

import numpy as np from scipy.misc import imread, imsave, imresize import matplotlib.pyplot as pltimg = imread('cat.jpg') print(img.dtype, img.shape) # uint8 (500, 500, 3)img_tinted = img * [1, 0.1, 0.5] # RGB img_tinted = imresize(img_tinted, (300, 600)) imsave('cat_tinted.jpg', img_tinted)plt.subplot(1, 2, 1) plt.imshow(img)plt.subplot(1, 2, 2) plt.imshow(img_tinted)plt.show()

显示结果：

显示四张图片的代码：

x = np.arange(0, 2 * np.pi, 0.1) y_sin = np.sin(x) y_cos = np.cos(x)plt.subplot(2, 2, 1) plt.plot(x, y_sin) plt.plot(x, y_cos) plt.xlabel('x axis label') plt.ylabel('y axis label') plt.title('Sine and Cosine') plt.legend(['Sine', 'Cosine'])plt.subplot(2, 2, 2) plt.plot(x, y_sin) plt.title('Sine') plt.legend(['This is Sine'])# img = imread('cat.jpg') plt.subplot(2, 2, 3) plt.imshow(img)plt.subplot(2, 2, 4) plt.imshow(np.uint8(img_tinted))plt.show()