问题描述：

原代码如下:

import pandas as pd

from statsmodels.tsa.stattools import adfuller

import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F

from blitz.modules import BayesianLSTM
from blitz.utils import variational_estimator

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression

import matplotlib.pyplot as plt
%matplotlib inline

from collections import deque

import yfinance as yf
import numpy as np

plt.rcParams.update({'figure.figsize':(20,10)})
plt.rcParams.update({'font.size':20})

ticker = "SPY" 
ticker_y = yf.Ticker("SPY")
df = ticker_y.history(period="5y")

然后出现报错：- SPY: No data found for this date range, symbol may be delisted

- SPY: No data found for this date range, symbol may be delisted

解决方案：

其实原因就在于这里使用的为Yahoo财经数据（从import yfinance as yf就可以证明这是Yahoo财经数据），但是由于现在使用Python访问不了那个网站了，所以可以自行寻找该网站的数据。使用read_csv等函数进行引用。
因此，解决方案为：

import pandas as pd

from statsmodels.tsa.stattools import adfuller

import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F

from blitz.modules import BayesianLSTM
from blitz.utils import variational_estimator

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression

import matplotlib.pyplot as plt
%matplotlib inline

from collections import deque

import yfinance as yf
import numpy as np

plt.rcParams.update({'figure.figsize':(20,10)})
plt.rcParams.update({'font.size':20})

df_non_stat = pd.read_csv("stock_train.csv", index_col = 0, parse_dates=[0])
df_non_stat

输出结果：

在这里插入图片描述
如果想要测试代码，自己可以按照上述字段来，这就是使用的格式了

原文链接： https://blog.csdn.net/qq_45018882/article/details/126089745