当然你们都知道答案,这很容易,但我是python的新手:)
我在互联网上找到了一段代码,从雅虎财经中读取股票价格
#!/usr/bin/env python # # Copyright (c) 2007-2008, Corey Goldberg (corey@goldb.org) # # license: GNU LGPL # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. import urllib """ This is the "ystockquote" module. This module provides a Python API for retrieving stock data from Yahoo Finance. sample usage: >>> import ystockquote >>> print ystockquote.get_price('GOOG') 529.46 """ def __request(symbol, stat): url = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (symbol, stat) return urllib.urlopen(url).read().strip().strip('"') def get_all(symbol): """ Get all available quote data for the given ticker symbol. Returns a dictionary. """ values = __request(symbol, 'l1c1va2xj1b4j4dyekjm3m4rr5p5p6s7').split(',') data = {} data['price'] = values[0] data['change'] = values[1] data['volume'] = values[2] data['avg_daily_volume'] = values[3] data['stock_exchange'] = values[4] data['market_cap'] = values[5] data['book_value'] = values[6] data['ebitda'] = values[7] data['dividend_per_share'] = values[8] data['dividend_yield'] = values[9] data['earnings_per_share'] = values[10] data['52_week_high'] = values[11] data['52_week_low'] = values[12] data['50day_moving_avg'] = values[13] data['200day_moving_avg'] = values[14] data['price_earnings_ratio'] = values[15] data['price_earnings_growth_ratio'] = values[16] data['price_sales_ratio'] = values[17] data['price_book_ratio'] = values[18] data['short_ratio'] = values[19] return data def get_price(symbol): return __request(symbol, 'l1') def get_change(symbol): return __request(symbol, 'c1') def get_volume(symbol): return __request(symbol, 'v') def get_avg_daily_volume(symbol): return __request(symbol, 'a2') def get_stock_exchange(symbol): return __request(symbol, 'x') def get_market_cap(symbol): return __request(symbol, 'j1') def get_book_value(symbol): return __request(symbol, 'b4') def get_ebitda(symbol): return __request(symbol, 'j4') def get_dividend_per_share(symbol): return __request(symbol, 'd') def get_dividend_yield(symbol): return __request(symbol, 'y') def get_earnings_per_share(symbol): return __request(symbol, 'e') def get_52_week_high(symbol): return __request(symbol, 'k') def get_52_week_low(symbol): return __request(symbol, 'j') def get_50day_moving_avg(symbol): return __request(symbol, 'm3') def get_200day_moving_avg(symbol): return __request(symbol, 'm4') def get_price_earnings_ratio(symbol): return __request(symbol, 'r') def get_price_earnings_growth_ratio(symbol): return __request(symbol, 'r5') def get_price_sales_ratio(symbol): return __request(symbol, 'p5') def get_price_book_ratio(symbol): return __request(symbol, 'p6') def get_short_ratio(symbol): return __request(symbol, 's7') def get_historical_prices(symbol, start_date, end_date): """ Get historical prices for the given ticker symbol. Date format is 'YYYYMMDD' Returns a nested list. """ url = 'http://ichart.yahoo.com/table.csv?s=%s&' % symbol + \ 'd=%s&' % str(int(end_date[4:6]) - 1) + \ 'e=%s&' % str(int(end_date[6:8])) + \ 'f=%s&' % str(int(end_date[0:4])) + \ 'g=d&' + \ 'a=%s&' % str(int(start_date[4:6]) - 1) + \ 'b=%s&' % str(int(start_date[6:8])) + \ 'c=%s&' % str(int(start_date[0:4])) + \ 'ignore=.csv' days = urllib.urlopen(url).readlines() data = [day[:-2].split(',') for day in days] return data
如何安装此模块以使用命令?我正在使用Windows 7和Python 3.xx。
非常感谢!
库尔特
答案 0 :(得分:9)
您只需将其放在与脚本相同的目录中,即可导入它。
如果您想“安装”它,可以将其设置为C:\Python31\Lib\site-packages\ystockquote.py
。然后,您应该可以使用import ystockquote
导入它。
答案 1 :(得分:1)
此代码实际上是用于python 2.x,并且由于python 3不向后兼容,因此无法使用python 3进行编译。 我的建议是让你看一下这个code。那个是为python 3编写的,你可以使用win7和python 3来使用它。 只需创建一个像test.py这样的文件,将两个文件放在同一目录中,然后编写如下代码:
from Ystock import *
print (Ystock("GOOG").get_all())
print(Ystock("IBM+GOOG").get_stock_exchange());
print(Ystock("IBM+GOOG").get_dividend_per_share());
来源:http://ashkax.posterous.com/python3-yahoo-finance-class-v1-0