# checkConvergence.py ```python= import matplotlib.pyplot as plt number = input("1 for constrain score, 2 for len score, 3 for orientation score, 4 for total score") if number == 1 : fp = open("Episode-constrain-score.txt", "r") print("now showing Episode-constrain-score") elif number == 2 : fp = open("Episode-len-score.txt", "r") print("now showing Episode-len-score") elif number == 3 : fp = open("Episode-orientation-score.txt", "r") print("now showing Episode-orientation-score") else : fp = open("Episode-score.txt", "r") print("now showing Episode-score") lines = fp.read().splitlines() scores = list(map(float, lines)) episode = list(range(1, 1+len(scores))) print(scores) print(episode) plt.figure() plt.plot(episode, scores) plt.xlabel("Episode",fontsize=13,fontweight='bold') plt.ylabel("Score",fontsize=13,fontweight='bold') #plt.show() plt.savefig('trend.png') ```