如何存储历史股票价格（使用数组）？

Question

我正在使用可在此处找到的雅虎金融库： https://pypi.python.org/pypi/yahoo-finance/1.2.1

我有一个带有股票代码的文本文件。我正在查看股票代码并打印股票价格的历史数据。

如何获取收盘价并存储它们以便以后使用它们（计算平均值）？

这是我的代码：

from yahoo_finance import Share

from pprint import pprint #for easy to view historical data

import calendar
import datetime 
import time





cal = calendar.TextCalendar(calendar.SUNDAY)
#cal.prmonth(today)

#using datetime below:

today = datetime.date.today() #todays date
todayH = str(today) # because in .get_historical I need to use a string 

yesterday = (today.toordinal()-10) #yesterdays date mathamatically

dateYes =  datetime.date.fromordinal(yesterday) #yesterdays date in format we want
dateYesH = str(dateYes) # because in .get_historical I need to use a string 


print 'today:', today
print dateYesH
print 'ordinal:', today.toordinal()


rand = Share('yhoo')
# print rand.get_price() (works)
#pprint(rand.get_historical(dateYesH, todayH))


#reading text file
file1 = open('TickerF.txt', 'r')
words = file1.read().split(' ')
length = len(words)
#print words 
#print len(words)
#print file1.read()
file1.close()


c = 0

try :
    while c < length:
        for i in words:
            symbol = str(i)
            stock = Share(symbol)
            c= c+1
            print i
        #print c
            pprint(stock.get_historical(dateYesH, todayH))

except: 
    pass

我的输出是：

today: 2015-12-06
2015-11-26
ordinal: 735938
YHOO
[{'Adj_Close': '34.91',
  'Close': '34.91',
  'Date': '2015-12-04',
  'High': '35.200001',
  'Low': '34.18',
  'Open': '34.34',
  'Symbol': 'YHOO',
  'Volume': '15502700'},
 {'Adj_Close': '34.34',
  'Close': '34.34',
  'Date': '2015-12-03',
  'High': '35.720001',
  'Low': '34.099998',
  'Open': '35.59',
  'Symbol': 'YHOO',
  'Volume': '17068000'},
 {'Adj_Close': '35.650002',
  'Close': '35.650002',
  'Date': '2015-12-02',
  'High': '36.389999',
  'Low': '34.77',
  'Open': '35.00',
  'Symbol': 'YHOO',
  'Volume': '56614000'},
 {'Adj_Close': '33.709999',
  'Close': '33.709999',
  'Date': '2015-12-01',
  'High': '33.889999',
  'Low': '33.470001',
  'Open': '33.869999',
  'Symbol': 'YHOO',
  'Volume': '10862500'},
 {'Adj_Close': '33.810001',
  'Close': '33.810001',
  'Date': '2015-11-30',
  'High': '33.830002',
  'Low': '32.849998',
  'Open': '33.029999',
  'Symbol': 'YHOO',
  'Volume': '17363600'},
 {'Adj_Close': '32.939999',
  'Close': '32.939999',
  'Date': '2015-11-27',
  'High': '33.09',
  'Low': '32.439999',
  'Open': '32.790001',
  'Symbol': 'YHOO',
  'Volume': '5313400'}]

如何在遍历数组时存储 'close' 值？我想创建另一个数组来存储 'close' 值，但我如何才能使该数组仅存储接近值而不存储任何其他值？

Answer 1

我编写了一个示例，将所有收盘价（每个日期）存储在一个数组中。输出是今年前 7 个月的 GOOG 收盘价：

from yahoo_finance import Share    


stock = Share('GOOG')    
start_date = '2015-01-01'    
end_date = '2015-06-30'    

closes = [c['Close'] for c in stock.get_historical(start_date, end_date)]    

for c in closes:    
    print c

输出：

Answer 2

你有很多选择。最常见的是获取该词典列表并将其保存为（这是按照我对不同存储格式的偏好顺序）pickle、json、csv 或 raw_text.

我想主动给你一些建议，引导你走向 pandas。它会让您的生活更轻松，因为它在数据分析以及文件读写方面做得特别好。只需将字典列表转换为 DataFrame 即可获得使用 pandas 的大部分好处，但 pandas 还提供了一些与 yahoo_finance 提供的相同的解析部分。例如：

from pandas.io import data
df = data.get_data_yahoo('YHOO')

将为您提供可追溯到 2010 年的相同日期/收盘价/调整收盘价/开盘价/高价/低价/交易量。如果您想 save/load 将数据写入磁盘，您可以执行

df.to_pickle('/tmp/yhoo.pkl')
df = pd.read_pickle('/tmp/yhoo.pkl')

它还会使分析数据变得更加容易。例如，如果您只想要平均收盘价

>>> print df.Close.mean()
25.470388733914213

如何存储历史股票价格（使用数组）？

How can I store the historical stock prices (using an array)?

python

runtime-error

finance

yahoo-finance