Files
easy-rl/codes/PolicyGradient/plot.py
2020-11-27 18:34:11 +08:00

46 lines
1.4 KiB
Python

#!/usr/bin/env python
# coding=utf-8
'''
Author: John
Email: johnjim0816@gmail.com
Date: 2020-11-23 13:48:46
LastEditor: John
LastEditTime: 2020-11-23 13:48:48
Discription:
Environment:
'''
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import os
def plot(item,ylabel='rewards_train', save_fig = True):
'''plot using searborn to plot
'''
sns.set()
plt.figure()
plt.plot(np.arange(len(item)), item)
plt.title(ylabel+' of DQN')
plt.ylabel(ylabel)
plt.xlabel('episodes')
if save_fig:
plt.savefig(os.path.dirname(__file__)+"/result/"+ylabel+".png")
plt.show()
if __name__ == "__main__":
output_path = os.path.split(os.path.abspath(__file__))[0]+"/result/"
tag = 'train'
rewards=np.load(output_path+"rewards_"+tag+".npy", )
moving_average_rewards=np.load(output_path+"moving_average_rewards_"+tag+".npy",)
steps=np.load(output_path+"steps_"+tag+".npy")
plot(rewards)
plot(moving_average_rewards,ylabel='moving_average_rewards_'+tag)
plot(steps,ylabel='steps_'+tag)
tag = 'eval'
rewards=np.load(output_path+"rewards_"+tag+".npy", )
moving_average_rewards=np.load(output_path+"moving_average_rewards_"+tag+".npy",)
steps=np.load(output_path+"steps_"+tag+".npy")
plot(rewards,ylabel='rewards_'+tag)
plot(moving_average_rewards,ylabel='moving_average_rewards_'+tag)
plot(steps,ylabel='steps_'+tag)