从雅虎财经取股票行情数据

Question

我使用pdr.get_data_yahoo试图从雅虎财经为“调关闭”数据（股票，开始，结束）

我能够将数据读取到数据帧，但无法通过股票代码对它进行排序

我创建了来自一个CSV文件中的股票代码清单。并使用get_data_yahoo方法来获取数据的每个符号。

但是我无法将数据进入由股票排序列，而该数据只是连接成1列，或者我只能从列表中拉1个符号。

import fix_yahoo_finance as fyf
from pandas_datareader import data as pdr
import csv
import datetime
import pandas as pd
import numpy as np
import pandas_datareader as dr

#Stock tickers from csv
#Csv file data looks like this.........................
  Symbol
0  MOQ.AX
1  ONT.AX
2  14D.AX
3  1ST.AX
4  T3D.AX

#----------------------------
Asx_Stocks = pd.read_csv('ASXListedCompaniesAX1.csv',usecols = ['Symbol'], 
squeeze=True)
df_symbol = pd.DataFrame(Asx_Stocks)
print(df_symbol.head())


#df looks like this--------
 Symbol
0  MOQ.AX
1  ONT.AX
2  14D.AX
3  1ST.AX
4  T3D.AX
#-----------------------------
#set symbols to list
symbols = df_symbol['Symbol'].tolist()
symbol is a list of the tickers formatted for australian stock exchange 
(ASX)
e.g....

['MOQ.AX', 'ONT.AX', '14D.AX', '1ST.AX', 'T3D.AX', 'TGP.AX'........]

#set start and end parameters
start = datetime.datetime(2018, 1, 1)
end = datetime.datetime(2019, 1, 1);
#loop through symbols from list and fetch adj close data
for symbol in symbols:
    f = pdr.get_data_yahoo(symbol, start, end)['Adj Close']

    print(f)

林期待一个数据帧每一列作为形容词收盘价的股票进行排序例如与日期作为索引列

 AAA   DJRE    GOLD     IJR    NDQ  PMGOLD   QCB    VAP    VAS    VCF  \
0  50.15  20.63  170.50  105.25  16.34   18.13  8.27  79.74  72.13  47.25   
1  50.14  20.62  170.86  104.57  16.07   18.27  8.27  81.00  72.03  47.25   
2  50.15  20.53  169.29  104.66  16.11   18.22  8.08  80.39  71.19  47.21   

我所得到的是............

[*********************100%***********************]  1 of 1 downloaded
Date
2018-01-01    0.230
2018-01-02    0.230
2018-01-03    0.230
2018-01-04    0.230
2018-01-07    0.230
2018-01-08    0.230
2018-01-09    0.220
2018-01-10    0.220
2018-01-11    0.230
[*********************100%***********************]  1 of 1 downloaded
etc.... continues on many times so data is downloading

我想我得到了一系列的个人dataframes与每个股票的价格数据

但我需要它连接成一个单一的数据帧。

我相信，沿着线的东西..............

# concatenate all dataframes into one final dataframe  
dfs = [out put from looping through each ticker] 
#perform the joins on DATE column as key and drop null values
df = reduce(lambda left,right: pd.merge(left,right,on='DATE', 
how='outer'), dfs).dropna() df.head(5)

我不确定如何正确地实施这一

Answer 1

我已经使用FIX-雅虎金融有很多成功的。这里是github page。

import fix_yahoo_finance as fyf
from pandas_datareader import data as web

fyf.pdr_override()

stock_list = sorted(['MOQ.AX', 'ONT.AX', '14D.AX', '1ST.AX', 'T3D.AX', 'TGP.AX'])
goog = web.get_data_yahoo(stock_list, start = '2018-01-01', end = '2019-12-31')['Adj Close']


          14D.AX 1ST.AX MOQ.AX  ONT.AX    T3D.AX    TGP.AX
Date                        
2018-01-01  NaN 0.049   0.23    6.594936    0.005   0.980018
2018-01-02  NaN 0.049   0.23    6.604564    0.005   0.970595
2018-01-03  NaN 0.053   0.23    6.546799    0.005   0.970595
2018-01-04  NaN 0.059   0.23    6.489032    0.005   0.998865
2018-01-07  NaN 0.060   0.23    6.450522    0.005   0.980018