1 import numpy as np 2 from PIL import Image 3 import matplotlib.pyplot as plt 4  5 img = Image.open(‘./7b6021ef9e6892dcf14dc5dd269afaada763fedc13b29-iHXENu_fw658.jpeg‘) 6 plt.imshow(img) 7 plt.show() 8 # 转化为数组 9 img = np.asarray(img)10 print(‘图像矩阵尺寸：‘,img.shape)11 12 # 截取上面的图片，舍弃下面20行13 bottom = 5014 img = img[:-bottom,:]15 16 # 刻度数17 xscale = 518 yscale = 619 20 fig = plt.figure(‘Image‘)21 plt.imshow(img)22 # 按照师兄的要求生成坐标23 plt.xticks([img.shape[1]/xscale*w for w in range(xscale+1)], [‘%.1f‘ % (87.3-(87.3-82.2)/xscale*w) for w in range(xscale+1)])24 plt.yticks([(img.shape[0]-bottom)/yscale*w for w in range(yscale+1)], [‘%.1f‘ % (-3.5-(-3.5-(-(img.shape[1]-bottom)/img.shape[1]*(-3.5-1.5)-3.5))/yscale*w) for w in range(yscale+1)])25 plt.xlabel("Galactic Longitude")26 plt.ylabel("Galactic Latitude")27 plt.show()28 fig.savefig(‘result.eps‘,format=‘eps‘)29 fig.savefig(‘result.png‘,format=‘png‘)

/home/hellcat/anaconda2/envs/python3_6/bin/python /home/hellcat/PycharmProjects/data_analysis/帮师兄修图/handle_piecture.py图像矩阵尺寸： (924, 658, 3)Process finished with exit code 0