95 lines
2.7 KiB
Python
95 lines
2.7 KiB
Python
#!/usr/bin/env python
|
|
# coding=utf-8
|
|
'''
|
|
Author: John
|
|
Email: johnjim0816@gmail.com
|
|
Date: 2021-03-12 16:02:24
|
|
LastEditor: John
|
|
LastEditTime: 2021-11-30 18:39:19
|
|
Discription:
|
|
Environment:
|
|
'''
|
|
import os
|
|
import numpy as np
|
|
from pathlib import Path
|
|
import matplotlib.pyplot as plt
|
|
import seaborn as sns
|
|
|
|
from matplotlib.font_manager import FontProperties # 导入字体模块
|
|
|
|
def chinese_font():
|
|
''' 设置中文字体,注意需要根据自己电脑情况更改字体路径,否则还是默认的字体
|
|
'''
|
|
try:
|
|
font = FontProperties(
|
|
fname='/System/Library/Fonts/STHeiti Light.ttc', size=15) # fname系统字体路径,此处是mac的
|
|
except:
|
|
font = None
|
|
return font
|
|
|
|
def plot_rewards_cn(rewards, ma_rewards, plot_cfg, tag='train'):
|
|
''' 中文画图
|
|
'''
|
|
sns.set()
|
|
plt.figure()
|
|
plt.title(u"{}环境下{}算法的学习曲线".format(plot_cfg.env_name,
|
|
plot_cfg.algo_name), fontproperties=chinese_font())
|
|
plt.xlabel(u'回合数', fontproperties=chinese_font())
|
|
plt.plot(rewards)
|
|
plt.plot(ma_rewards)
|
|
plt.legend((u'奖励', u'滑动平均奖励',), loc="best", prop=chinese_font())
|
|
if plot_cfg.save:
|
|
plt.savefig(plot_cfg.result_path+f"{tag}_rewards_curve_cn")
|
|
# plt.show()
|
|
|
|
|
|
def plot_rewards(rewards, ma_rewards, plot_cfg, tag='train'):
|
|
sns.set()
|
|
plt.figure() # 创建一个图形实例,方便同时多画几个图
|
|
plt.title("learning curve on {} of {} for {}".format(
|
|
plot_cfg.device, plot_cfg.algo_name, plot_cfg.env_name))
|
|
plt.xlabel('epsiodes')
|
|
plt.plot(rewards, label='rewards')
|
|
plt.plot(ma_rewards, label='ma rewards')
|
|
plt.legend()
|
|
if plot_cfg.save:
|
|
plt.savefig(plot_cfg.result_path+"{}_rewards_curve".format(tag))
|
|
plt.show()
|
|
|
|
|
|
def plot_losses(losses, algo="DQN", save=True, path='./'):
|
|
sns.set()
|
|
plt.figure()
|
|
plt.title("loss curve of {}".format(algo))
|
|
plt.xlabel('epsiodes')
|
|
plt.plot(losses, label='rewards')
|
|
plt.legend()
|
|
if save:
|
|
plt.savefig(path+"losses_curve")
|
|
plt.show()
|
|
|
|
|
|
def save_results(rewards, ma_rewards, tag='train', path='./results'):
|
|
''' 保存奖励
|
|
'''
|
|
np.save(path+'{}_rewards.npy'.format(tag), rewards)
|
|
np.save(path+'{}_ma_rewards.npy'.format(tag), ma_rewards)
|
|
print('结果保存完毕!')
|
|
|
|
|
|
def make_dir(*paths):
|
|
''' 创建文件夹
|
|
'''
|
|
for path in paths:
|
|
Path(path).mkdir(parents=True, exist_ok=True)
|
|
|
|
|
|
def del_empty_dir(*paths):
|
|
''' 删除目录下所有空文件夹
|
|
'''
|
|
for path in paths:
|
|
dirs = os.listdir(path)
|
|
for dir in dirs:
|
|
if not os.listdir(os.path.join(path, dir)):
|
|
os.removedirs(os.path.join(path, dir))
|