我正试着把你的金融和一些库存引进到熊猫资料里。最初在进口金融方面存在重大问题。我使用pip安装,但仍然需要手动输入文件才能真正消除无模块错误。
到目前为止,这是我的代码:
现在,在尝试下载yfinance时,我得到了属性错误。
import pandas as pd
import datetime as dt
import yfinance as yf
# import fix_yahoo_finance as yf
stocks = ["AMZN", "MSFT", "INTC", "GOOG", "INFY.NS", "3988.HK"]
start = dt.datetime.today()- dt.timedelta(30)
end = dt.datetime.today()
cl_price = pd.DataFrame()
for ticker in stocks:
cl_price[ticker] = yf.download(ticker,start,end)["Adj Close"]
这是一个错误:
AttributeError Traceback (most recent call last)
<ipython-input-51-3347ed0c7f2b> in <module>
10
11 for ticker in stocks:
---> 12 cl_price[ticker] = yf.download(ticker,start,end)["Adj Close"]
AttributeError: module 'yfinance' has no attribute 'download'
我试过了AttributeError: module 'yahoo_finance' has no attribute 'download'的建议,但仍然不起作用
任何解决方案都很感激
发布于 2022-11-26 04:55:25
这能做你想做的事。
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.optimize as sco
import datetime as dt
import math
from datetime import datetime, timedelta
from pandas_datareader import data as wb
from sklearn.cluster import KMeans
np.random.seed(777)
start = '2022-09-22'
end = '2022-11-23'
tickers = ['AXP','AMGN','AAPL','BA','CAT','CSCO','CVX','GS','HD','HON','IBM','INTC','JNJ','KO','JPM','MCD','MMM','MRK','MSFT','NKE','PG','TRV','UNH','CRM','VZ','V','WBA','WMT','DIS']
thelen = len(tickers)
price_data = []
for ticker in tickers:
try:
prices = wb.DataReader(ticker, start = start, end = end, data_source='yahoo')[['Adj Close']]
price_data.append(prices.assign(ticker=ticker)[['ticker', 'Adj Close']])
except:
print(ticker)
df = pd.concat(price_data)
df.dtypes
df.tail()
df.shape
pd.set_option('display.max_columns', 500)
pd.set_option('display.max_rows', None)
df = df.reset_index()
df = df.set_index('Date')
table = df.pivot(columns='ticker')
# By specifying col[1] in below list comprehension
# You can select the stock names under multi-level column
table.columns = [col[1] for col in table.columns]
table.head()
https://stackoverflow.com/questions/61509917
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