对于下面这种内容的log.log文件，如何跳过有ESSteps的行，而只读取剩下行中的Rewards和Total Steps数据，并以Total Steps数据为横坐标、Rewards数据为纵坐标画图：[05-14 13:23:20 MainThread @train.py:373] Total Steps: 1299956 Reward: 98.06129722973967 [05-14 13:23:21 MainThread @train.py:373] Total Steps: 1299984 Reward: 45.173203134342316 [05-14 13:23:22 MainThread @train.py:373] Total Steps: 1300015 Reward: 78.54178229069575 [05-14 13:23:22 MainThread @train.py:380] Evaluation over: 1 episodes, Reward: 112.39893016163798 Steps: 34 [05-14 13:23:37 MainThread @train.py:427] ESSteps: 1951 Reward: 119.89624252947024 step: 33.425 sigma:0.004996741129169055

可以使用Python的re模块来匹配log.log文件中的每一行，然后跳过包含ESSteps的行，取出剩下行中的Total Steps和Reward数据。代码如下：

import re
import matplotlib.pyplot as plt

steps = []
rewards = []

with open('log.log', 'r') as f:
    for line in f:
        if "ESSteps" in line:
            continue
        match = re.search(r'Total Steps: (\d+) Reward: ([\d\.]+)', line)
        if match:
            steps.append(int(match.group(1)))
            rewards.append(float(match.group(2)))

plt.plot(steps, rewards)
plt.xlabel('Total Steps')
plt.ylabel('Rewards')
plt.show()

这段代码会读取log.log文件中的每一行，如果包含ESSteps则跳过，否则使用正则表达式匹配出Total Steps和Reward数据，并将它们分别添加到steps和rewards列表中。最后，使用matplotlib库画出横坐标为Total Steps、纵坐标为Rewards的图形。