python问题
这个for循环有问题，请问怎么改？ wuna 发表于 2022-9-1 16:53应该没有中途赋值，还有没有可能出现错误的原因呀
在 is_profit 之前 print 下 results 看看是不是有正常的结果
检查下 results 是否中途重新赋值了
给出的代码没有涉及到报错的部分代码
Twilight6 发表于 2022-9-1 16:05
检查下 results 是否中途重新赋值了
给出的代码没有涉及到报错的部分代码
应该没有中途赋值，还有没有可能出现错误的原因呀 Twilight6 发表于 2022-9-1 16:59
在 is_profit 之前 print 下 results 看看是不是有正常的结果
有结果，这就是results"C:\Users\22536\Desktop\5555.png" Twilight6 发表于 2022-9-1 16:59
在 is_profit 之前 print 下 results 看看是不是有正常的结果
有结果，结果图想发给你看，但是图片一直转圈。
结果就是第一行列表里面一个数，第二行列表里面的数就是第一行的数再加一个新的数字，以此类推 Twilight6 发表于 2022-9-1 16:59
在 is_profit 之前 print 下 results 看看是不是有正常的结果
结果只有12行，我感觉应该不太对 "C:\Users\22536\Desktop\2.png"
"C:\Users\22536\Desktop\3.png"
"C:\Users\22536\Desktop\4.png"
"C:\Users\22536\Desktop\5.png"
这是这个主函数的代码。麻烦帮忙看看，咋解决问题 wuna 发表于 2022-9-1 17:20
"C:%users\22536\Desktop\3.png"
"C:%users\22536\Desktop\4.png"
"C:%users\22536\Desktop\5.png"
图片你上传后才能看得到，图片地址是指在服务器地址，不是本地资源地址 Twilight6 发表于 2022-9-1 17:53
图片你上传后才能看得到，图片地址是指在服务器地址，不是本地资源地址
那请问图片上传到哪里，你才能在评论中看到？ wuna 发表于 2022-9-1 18:43
那请问图片上传到哪里，你才能在评论中看到？
回复可以直接上传
Twilight6 发表于 2022-9-1 18:48
回复可以直接上传
前5张图片是报错的那个文件的代码，最后一个是打印的results结果。我把错误部分的完整代码给你看看，麻烦你帮我看下，怎么改。谢谢！ 能把源码粘出来吗，想debug看看{:10_254:} import os
import pickle
import pandas as pd
import random
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines import PPO2
from rlenv.StockTradingEnv0 import StockTradingEnv
from tasks import multi_stock_trade
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='font/wqy-microhei.ttc')
# plt.rc('font', family='Source Han Sans CN')
plt.rcParams['axes.unicode_minus'] = False
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
def stock_trade(stock_file):
day_profits = []
df = pd.read_csv(stock_file)
df = df.sort_values('date')
# The algorithms require a vectorized environment to run
env = DummyVecEnv()
model = PPO2(MlpPolicy, env, verbose=0, tensorboard_log='./log', gamma=0.95, n_steps=20, learning_rate=2.5e-2)
model.learn(total_timesteps=int(1e5))
df_test = pd.read_csv(stock_file.replace('train', 'test'))
env = DummyVecEnv()
obs = env.reset()
for i in range(len(df_test) - 1):
action, _states = model.predict(obs)
obs, rewards, done, info = env.step(action)
profit = env.render()
day_profits.append(profit)
if done:
break
return day_profits
def find_file(path, name):
# print(path, name)
for root, dirs, files in os.walk(path):
for fname in files:
if name in fname:
return os.path.join(root, fname)
def test_a_stock_trade(stock_code):
stock_file = find_file('./stockdata/train', str(stock_code))
daily_profits = stock_trade(stock_file)
fig, ax = plt.subplots()
ax.plot(daily_profits, '-o', label=stock_code, marker='o', ms=10, alpha=0.7, mfc='orange')
ax.grid()
plt.xlabel('step')
plt.ylabel('profit')
ax.legend(prop=font)
# plt.show()
plt.savefig(f'./img/{stock_code}.png')
def analysis_profits(results):
is_profit = for p in results]
#is_profit=[]
#for p in results:
# p.append( is_profit)
len(is_profit)
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='./font/wqy-microhei.ttc')
labels = 'Profit', 'Loss', '0'
sizes =
for p in is_profit:
if p > 0:
sizes += 1
if p < 0:
sizes += 1
else:
sizes += 1
explode = (0.1, 0.05, 0.05)
fig1, ax1 = plt.subplots()
ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
shadow=True, startangle=90)
ax1.axis('equal')
plt.legend(prop=font)
plt.show()
plt.savefig('./img/profits.png')
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='./font/wqy-microhei.ttc')
n_bins = 150
fig, axs = plt.subplots()
axs.hist(is_profit, bins=n_bins, density=True)
plt.savefig('./img/profits_hist.png')
if __name__ == '__main__':
files = os.listdir("stockdata/train")
files_test = os.listdir("stockdata/test")
all_files_list = list(set(files) & set(files_test))
for i in all_files_list:
# 使用celery做并发
code = ".".join(i.split(".")[:2])
multi_stock_trade.apply_async(args=(code,))
# multi_stock_trade(code)
import pickle
files = os.listdir("result")
results = []
for f_name in files:
f = open(f"result/{f_name}", "rb")
data = pickle.load(f)
results.append(data[-1])
print(results)
analysis_profits(results) wyh551202 发表于 2022-9-2 14:57
能把源码粘出来吗，想debug看看
import os
import pickle
import pandas as pd
import random
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines import PPO2
from rlenv.StockTradingEnv0 import StockTradingEnv
from tasks import multi_stock_trade
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='font/wqy-microhei.ttc')
# plt.rc('font', family='Source Han Sans CN')
plt.rcParams['axes.unicode_minus'] = False
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
def stock_trade(stock_file):
day_profits = []
df = pd.read_csv(stock_file)
df = df.sort_values('date')
# The algorithms require a vectorized environment to run
env = DummyVecEnv()
model = PPO2(MlpPolicy, env, verbose=0, tensorboard_log='./log', gamma=0.95, n_steps=20, learning_rate=2.5e-2)
model.learn(total_timesteps=int(1e5))
df_test = pd.read_csv(stock_file.replace('train', 'test'))
env = DummyVecEnv()
obs = env.reset()
for i in range(len(df_test) - 1):
action, _states = model.predict(obs)
obs, rewards, done, info = env.step(action)
profit = env.render()
day_profits.append(profit)
if done:
break
return day_profits
def find_file(path, name):
# print(path, name)
for root, dirs, files in os.walk(path):
for fname in files:
if name in fname:
return os.path.join(root, fname)
def test_a_stock_trade(stock_code):
stock_file = find_file('./stockdata/train', str(stock_code))
daily_profits = stock_trade(stock_file)
fig, ax = plt.subplots()
ax.plot(daily_profits, '-o', label=stock_code, marker='o', ms=10, alpha=0.7, mfc='orange')
ax.grid()
plt.xlabel('step')
plt.ylabel('profit')
ax.legend(prop=font)
# plt.show()
plt.savefig(f'./img/{stock_code}.png')
def analysis_profits(results):
is_profit = for p in results]
#is_profit=[]
#for p in results:
# p.append( is_profit)
len(is_profit)
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='./font/wqy-microhei.ttc')
labels = 'Profit', 'Loss', '0'
sizes =
for p in is_profit:
if p > 0:
sizes += 1
if p < 0:
sizes += 1
else:
sizes += 1
explode = (0.1, 0.05, 0.05)
fig1, ax1 = plt.subplots()
ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
shadow=True, startangle=90)
ax1.axis('equal')
plt.legend(prop=font)
plt.show()
plt.savefig('./img/profits.png')
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
font = fm.FontProperties(fname='./font/wqy-microhei.ttc')
n_bins = 150
fig, axs = plt.subplots()
axs.hist(is_profit, bins=n_bins, density=True)
plt.savefig('./img/profits_hist.png')
if __name__ == '__main__':
files = os.listdir("stockdata/train")
files_test = os.listdir("stockdata/test")
all_files_list = list(set(files) & set(files_test))
for i in all_files_list:
# 使用celery做并发
code = ".".join(i.split(".")[:2])
multi_stock_trade.apply_async(args=(code,))
# multi_stock_trade(code)
import pickle
files = os.listdir("result")
results = []
for f_name in files:
f = open(f"result/{f_name}", "rb")
data = pickle.load(f)
results.append(data[-1])
print(results)
analysis_profits(results) wyh551202 发表于 2022-9-2 14:57
能把源码粘出来吗，想debug看看
Traceback (most recent call last):
File "C:/Users/22536/Desktop/15.rl_learning/main.py", line 115, in <module>
analysis_profits(results)
File "C:/Users/22536/Desktop/15.rl_learning/main.py", line 63, in analysis_profits
is_profit = for p in results]
File "C:/Users/22536/Desktop/15.rl_learning/main.py", line 63, in <listcomp>
is_profit = for p in results]
IndexError: invalid index to scalar variable.
Process finished with exit code 1
这是我的报错
页:
[1]