数据框中的股票清单的历史股价

问题描述

我是Pyhton的新手，我很难在自己的数据框中获取历史股票的价格：

我有以下数据框

New_ticker栏：MSGE，IT，NVST
列日期：2020-04-20，2020-02-29,2019-12-18

例如，我努力为每个股票生成从相应日期到年初至今的历史股价。 2020年4月20日至今的MSGE股票价格

您是否需要为每只股票创建一个单独的数据框，还是可以将它们放在一起？

非常感谢您的提示。

import pandas as pd
import yfinance as yf
from yahoofinancials import YahooFinancials

assets=df['New_ticker'].tolist()
yahoo_financials=YahooFinancials(assets)
data=yahoo_financials.get_historical_price_data(start_date='2019-01-01',end_date='2020-08-30',time_interval='daily')
prices_df = pd.DataFrame({a: {x['formatted_date']: x['adjclose'] for x in data[a]['prices']} for a in assets})
prices_df

但是当我打电话给prices_df时却没有任何数据

解决方法

这是我第一次下载并使用yfinance。您可以使用以下代码获取它。使用“ Alpha Vantage” API使用“ panda_datareader”获得了另一个代码，Alpha Vantage's API是无邮件的，只能使用pandas datareader

获得

# yfinance
import yfinance as yf

import datetime
import pandas as pd

ticker = ["MSGE","IT","NVST"]
msge = "MSGE"
now_ = datetime.datetime.today()

start = datetime.datetime(2020,4,1)
end = datetime.datetime(now_.year,now_.month,now_.day - 1)

all_df = pd.DataFrame()
for i in ticker:
    data = yf.download(i,start=start,end=end)
    data['symbol'] = i
    all_df = all_df.append(data)

all_df.head()
    Open    High    Low Close   Adj Close   Volume  symbol
Date                            
2020-04-09  100.000000  100.000000  86.510002   88.510002   88.510002   1900    MSGE
2020-04-13  85.000000   86.830002   80.250000   80.250000   80.250000   167400  MSGE
2020-04-14  75.150002   77.559998   75.150002   75.190002   75.190002   5300    MSGE
2020-04-15  72.150002   76.000000   72.150002   76.000000   76.000000   800 MSGE
2020-04-16  76.000000   76.000000   74.599998   74.599998   74.599998   75300   MSGE

import matplotlib.pyplot as plt
# import matplotlib.dates as mdates

fig = plt.figure(figsize=(8,4),dpi=144)
ax = fig.add_subplot(111)

msge = all_df[all_df['symbol'] == 'MSGE']
it = all_df[all_df['symbol'] == 'IT']
nvst = all_df[all_df['symbol'] == 'NVST']

ax.plot(msge.index,msge['Adj Close'],color='g',lw=1.5,label='MSGE')
ax.plot(it.index,it['Adj Close'],color='b',label='IT')
ax.plot(nvst.index,nvst['Adj Close'],color='orange',label='NVST')

plt.legend()
plt.show()

# pandas_datareader and Alpha Vantage API
import datetime
import pandas as pd
import pandas_datareader.data as web
import mplfinance as mpf
import matplotlib.pyplot as plt

with open('./alpha_vantage_api_key.txt') as f:
    api_key = f.read()

now_ = datetime.datetime.today()

start = datetime.datetime(2019,1,now_.day - 1)
symbol = 'MSGE'
df = web.DataReader(symbol,'av-daily',start,end,api_key=api_key)

df.columns = ['Open','High','Low','Close','Volume']
df.index = pd.to_datetime(df.index)

df.head()
Open    High    Low Close   Volume
2020-04-09  100.00  100.00  86.51   88.51   1900
2020-04-13  85.00   86.83   80.25   80.25   167421
2020-04-14  75.15   77.56   75.15   75.19   5281
2020-04-15  72.15   76.00   72.15   76.00   807
2020-04-16  76.00   76.00   74.60   74.60   74999