52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
#!/usr/bin/env python
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# coding=utf-8
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'''
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Author: John
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Email: johnjim0816@gmail.com
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Date: 2020-10-07 20:57:11
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LastEditor: John
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LastEditTime: 2021-09-19 23:00:36
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Discription:
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Environment:
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'''
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import matplotlib.pyplot as plt
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import seaborn as sns
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from matplotlib.font_manager import FontProperties
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def chinese_font():
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return FontProperties(fname='/System/Library/Fonts/STHeiti Light.ttc',size=15) # 系统字体路径，此处是mac的
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def plot_rewards(rewards,ma_rewards,tag="train",env='CartPole-v0',algo = "DQN",save=True,path='./'):
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sns.set()
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plt.title("average learning curve of {} for {}".format(algo,env))
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plt.xlabel('epsiodes')
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plt.plot(rewards,label='rewards')
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plt.plot(ma_rewards,label='ma rewards')
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plt.legend()
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if save:
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plt.savefig(path+"{}_rewards_curve".format(tag))
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plt.show()
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def plot_rewards_cn(rewards,ma_rewards,tag="train",env='CartPole-v0',algo = "DQN",save=True,path='./'):
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''' 中文画图
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'''
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sns.set()
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plt.figure()
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plt.title(u"{}环境下{}算法的学习曲线".format(env,algo),fontproperties=chinese_font())
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plt.xlabel(u'回合数',fontproperties=chinese_font())
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plt.plot(rewards)
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plt.plot(ma_rewards)
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plt.legend((u'奖励',u'滑动平均奖励',),loc="best",prop=chinese_font())
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if save:
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plt.savefig(path+f"{tag}_rewards_curve_cn")
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# plt.show()
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def plot_losses(losses,algo = "DQN",save=True,path='./'):
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sns.set()
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plt.title("loss curve of {}".format(algo))
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plt.xlabel('epsiodes')
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plt.plot(losses,label='rewards')
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plt.legend()
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if save:
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plt.savefig(path+"losses_curve")
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plt.show()
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