The exact pixel coordinates of title, labels, legends or ticks are important information for the training data of deep learning.
import numpy as np import matplotlib.pyplot as plt plt.plot([1,2],label="first_image") plt.plot([2,1],label="second_image") leg = plt.legend() tit = plt.title("sss") xla = plt.xlabel("xxx") plt.gcf().canvas.draw() ticks = [t for t in plt.gca().get_xticklabels()] print(tit.get_text(),str(tit.get_window_extent())) # return the context and pixel coordinates of 'tit' print(np.array(tit.get_window_extent())) print(xla.get_text(),str(xla.get_window_extent())) for i, t in enumerate(ticks): print ("Label "+str(i)+", data: "+t.get_text()+str(t.get_window_extent())) print ("Legend location: "+str(leg.get_window_extent())) for i, l in enumerate(leg.texts): print ("Label "+str(i)+", data: "+l.get_text()+str(l.get_window_extent())) pass #plt.savefig("test.png") plt.show()