無法在 Python 中使用 pandas_datareader 檢索雅虎財經股票數據

Question

我運行以下代碼：

import pandas_datareader.data as web
from datetime import date, datetime, timedelta
#
datetime_now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
todays_date = date.today()   # retreived in YYYY-MM-DD format
n = 7
date_n_days_ago = date.today() - timedelta(days=n)
#
mylist = ['AAPL', 'BEML.NS', 'BAJAJ-AUTO.NS', 'M&M.NS', 'JINDALSTEL.NS', 'L&TFH.NS']
#
for yahoo_symbol in mylist:
    try:
        stock_data = web.DataReader(yahoo_symbol, 'yahoo', date_n_days_ago, todays_date)
        print "success in retreiving data for: ",yahoo_symbol
    except:
        print "failed in retreiving data for: ",yahoo_symbol

這是我收到的輸出：

success in retreiving data for:  AAPL
success in retreiving data for:  BEML.NS
failed in retreiving data for:  BAJAJ-AUTO.NS
failed in retreiving data for:  M&M.NS
success in retreiving data for:  JINDALSTEL.NS
failed in retreiving data for:  L&TFH.NS

我的疑問：為什么當符號為“BAJAJ-AUTO.NS”或“M&M.NS”時，我無法使用 pandas_datareader 檢索雅虎股票數據，而當符號為“AAPL”或“BEML.NS”時可以這樣做. 是否有任何解決方法來檢索這些數據？

PS：我注意到，每當股票代碼包含 "&" 或 "-" 時，我都無法使用 pandas_datareader 從雅虎財經檢索該數據

謝謝。

Answer 1

試試這個

import math
import pandas_datareader as web 
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from keras.models import Sequential
from keras.layers import  Dense, LSTM
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')