数据框中股票列表的历史股票价格

Question

我是 Pyhton 的新手，我很难在我的数据框中获取股票的历史股价：

我有以下数据框

New_ticker 栏目：MSGE、IT、NVST
专栏日期：2020-04-20、2020-02-29、2019-12-18

我很难生成每只股票从各自日期到年初至今的历史股价，例如。 MSGE 从 2020 年 4 月 20 日到今天的股价

我需要为每只股票创建一个单独的数据框还是我可以将它们一起放置？

非常感谢您的任何提示。

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

但是当我调用 price_df 时没有得到任何数据

Answer 1

这是我第一次下载和使用 yfinance。您可以使用以下代码获取它。另一个代码是使用 'Alpha Vantage' API 使用 'panda_datareader' 获得的，Alpha Vantage's API 是无邮件的 它只能通过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', lw=1.5, label='IT')
ax.plot(nvst.index, nvst['Adj Close'], color='orange', lw=1.5, 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, 1)
end = datetime.datetime(now_.year, now_.month, 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