47 lines
1.4 KiB
Python
47 lines
1.4 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: 2020-06-11 16:30:09
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@LastEditor: John
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LastEditTime: 2020-11-23 13:48:31
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@Discription:
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@Environment: python 3.7.7
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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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import numpy as np
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import os
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def plot(item,ylabel='rewards_train', save_fig = True):
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'''plot using searborn to plot
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'''
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sns.set()
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plt.figure()
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plt.plot(np.arange(len(item)), item)
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plt.title(ylabel+' of DQN')
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plt.ylabel(ylabel)
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plt.xlabel('episodes')
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if save_fig:
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plt.savefig(os.path.dirname(__file__)+"/result/"+ylabel+".png")
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plt.show()
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if __name__ == "__main__":
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output_path = os.path.split(os.path.abspath(__file__))[0]+"/result/"
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tag = 'train'
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rewards=np.load(output_path+"rewards_"+tag+".npy", )
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moving_average_rewards=np.load(output_path+"moving_average_rewards_"+tag+".npy",)
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steps=np.load(output_path+"steps_"+tag+".npy")
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plot(rewards)
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plot(moving_average_rewards,ylabel='moving_average_rewards_'+tag)
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plot(steps,ylabel='steps_'+tag)
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tag = 'eval'
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rewards=np.load(output_path+"rewards_"+tag+".npy", )
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moving_average_rewards=np.load(output_path+"moving_average_rewards_"+tag+".npy",)
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steps=np.load(output_path+"steps_"+tag+".npy")
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plot(rewards,ylabel='rewards_'+tag)
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plot(moving_average_rewards,ylabel='moving_average_rewards_'+tag)
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plot(steps,ylabel='steps_'+tag)
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