本文整理汇总了Python中yahoo_finance.Share.get_dividend_share方法的典型用法代码示例。如果您正苦于以下问题:Python Share.get_dividend_share方法的具体用法?Python Share.get_dividend_share怎么用?Python Share.get_dividend_share使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类yahoo_finance.Share
的用法示例。
在下文中一共展示了Share.get_dividend_share方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: stock_summary
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
def stock_summary(request, symbol=None):
if symbol == None:
symbol = request.POST['symbol']
current_stock = Stock()
stock = Share(symbol)
current_stock.symbol = symbol.upper()
current_stock.price = stock.get_price()
current_stock.change = stock.get_change()
current_stock.volume = stock.get_volume()
current_stock.prev_close = stock.get_prev_close()
current_stock.stock_open = stock.get_open()
current_stock.avg_daily_volume = stock.get_avg_daily_volume()
current_stock.stock_exchange = stock.get_stock_exchange()
current_stock.market_cap = stock.get_market_cap()
current_stock.book_value = stock.get_book_value()
current_stock.ebitda = stock.get_ebitda()
current_stock.dividend_share = stock.get_dividend_share()
current_stock.dividend_yield = stock.get_dividend_yield()
current_stock.earnings_share = stock.get_earnings_share()
current_stock.days_high = stock.get_days_high()
current_stock.days_low = stock.get_days_low()
current_stock.year_high = stock.get_year_high()
current_stock.year_low = stock.get_year_low()
current_stock.fifty_day_moving_avg = stock.get_50day_moving_avg()
current_stock.two_hundred_day_moving_avg = stock.get_200day_moving_avg()
current_stock.price_earnings_ratio = stock.get_price_earnings_ratio()
current_stock.price_earnings_growth_ratio = stock.get_price_earnings_growth_ratio()
current_stock.price_sales = stock.get_price_sales()
current_stock.price_book = stock.get_price_book()
current_stock.short_ratio = stock.get_short_ratio()
date_metrics = []
url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+symbol+'/chartdata;type=quote;range=1y/csv'
page = urllib2.urlopen(url).read()
pagebreaks = page.split('\n')
for line in pagebreaks:
items = line.split(',')
if 'Company-Name:' in line:
current_stock.company_name = line[13:len(line)]
current_stock.save()
if 'values' not in items:
if len(items)==6:
hd = HistoricalData(
stock_id = Stock.objects.get(id=int(current_stock.id)).id,
date = items[0][4:6]+'/'+items[0][6:9]+'/'+items[0][0:4],
close = items[1][0:(len(items[1])-2)],
high = items[2][0:(len(items[2])-2)],
price_open = items[3][0:(len(items[3])-2)],
low = items[4][0:(len(items[4])-2)],
volume = items[5][0:-6]+","+items[5][-6:-3]+","+items[5][-3:len(items[5])])
hd.save()
date_metrics.append(hd)
del date_metrics[0]
return render(request, "stock_summary.html", {'current_stock': current_stock, 'date_metrics': date_metrics})
示例2: displayFinance
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
def displayFinance(self, yearStart, yearEnd):
yahoo = Share(self.companyCode)
#declare
textReturn = ""
textReturn += "Opening price: " + str(yahoo.get_open()) + '\n'
textReturn += "Current price: " + str(yahoo.get_price()) + '\n'
textReturn += "Dividend Share: " + str(yahoo.get_dividend_share()) + '\n'
textReturn += "Year High: " + str(yahoo.get_year_high()) + '\n'
textReturn += "Year Low: " + str(yahoo.get_year_low()) + '\n'
self.jsonObj.append({ "openPrice" : str(yahoo.get_open()) , "currPrice" : str(yahoo.get_price()), "dividendPrice" : str(yahoo.get_dividend_share()), "yearHigh" : str(yahoo.get_year_high()), "yearLow" : str(yahoo.get_year_low()) })
#historical data returns a jSON object
jsonHistorical = yahoo.get_historical(str(yearStart) + '-04-25', str(yearEnd) + '-04-29')
textReturn += "Historical Data: " + '\n'
#To limit the number of historical datapoints sent
numHist = 0
maxHist = 10
for dict in jsonHistorical:
numHist += 1
if numHist < maxHist:
textReturn += "For year " + dict['Date'] + " High was: " + dict['High'] + " Low was: " + dict['Low'] + '\n'
#self.jsonObj[0][dict['Date'] + "High"] = dict['High']
#self.jsonObj[0][dict['Date'] + "Low"] = dict['Low']
self.jsonObj.append({ "Highd" : dict['Date'] , "Lowd" : dict['Date'], "Highp" : dict['High'], "Lowp" : dict['Low'] })
if textReturn == "":
self.jsonObj.append({ "success" : "false" })
else:
self.jsonObj.append({ "success" : "true" })
return textReturn
示例3: write_technical_files
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
def write_technical_files(stock_code, start_time, end_time):
# """ Experiment on quandl """
# print('quandl data')
# mydata = quandl.get("FRED/GDP")
# print(mydata)
# print('hello')
# data = quandl.get("WIKI/FB.11", start_date="2014-01-01", end_date="2014-12-31", collapse="monthly", transform="diff")
# print(data)
stock = Share(stock_code)
print('stock.get_info()')
print(stock.get_info())
print('get_price()')
print(stock.get_price())
print('get_change()')
print(stock.get_change())
print('get_stock_exchange()')
print(stock.get_stock_exchange())
print('get_market_cap()')
print(stock.get_market_cap())
print('get_book_value()')
print(stock.get_book_value())
print('get_ebitda()')
print(stock.get_ebitda())
print('get_dividend_share()')
print(stock.get_dividend_share())
print('get_dividend_yield()')
print(stock.get_dividend_yield())
print('get_earnings_share()')
print(stock.get_earnings_share())
print('get_50day_moving_avg()')
print(stock.get_50day_moving_avg())
print('get_200day_moving_avg()')
print(stock.get_200day_moving_avg())
print('get_price_earnings_ratio()')
print(stock.get_price_earnings_ratio())
print('get_price_earnings_growth_ratio()')
print(stock.get_price_earnings_growth_ratio())
print('get_price_sales()')
print(stock.get_price_sales())
print('get_price_book()')
print(stock.get_price_book())
print('get_short_ratio()')
print(stock.get_short_ratio())
print('historical_data')
print(stock.get_historical(start_time, end_time))
historical_data = stock.get_historical(start_time, end_time)
info_text = "Symbol\t" + "Stock Exchange\t" + "Price\t" + "Market Cap\t" + "Book Value\t" + "EBITDA\t" + "50d Moving Avg\t" + "100d Moving Avg\n"
info_text += str(stock.get_info()['symbol']) + "\t" + str(stock.get_stock_exchange()) + "\t" + str(stock.get_price()) + "\t" + str(stock.get_market_cap()) + "\t" + str(stock.get_book_value()) + "\t";
info_text += str(stock.get_ebitda()) + "\t" + str(stock.get_50day_moving_avg()) + "\t" + str(stock.get_200day_moving_avg()) + "\n";
info_directory = '/data/info.tsv'
write_to_file(info_directory, info_text)
high_low_text = "date\t" + "High\t" + "Low\n"
open_close_text = "date\t" + "Open\t" + "Close\n"
volume_text = "date\t" + "Volume\n"
for index, value in enumerate(historical_data):
date = str(historical_data[len(historical_data) - 1 - index]['Date'])
date = date.replace('-','')
stock_high = str(historical_data[len(historical_data) - 1 - index]['High'])
stock_low = str(historical_data[len(historical_data) - 1 - index]['Low'])
stock_open = str(historical_data[len(historical_data) - 1 - index]['Open'])
stock_close = str(historical_data[len(historical_data) - 1 - index]['Close'])
stock_volume = str(int(historical_data[len(historical_data) - 1 - index]['Volume']) / 1000)
high_low_text += date + "\t" + stock_high + "\t" + stock_low + "\n"
open_close_text += date + "\t" + stock_open + "\t" + stock_close + "\n"
volume_text += date + "\t" + stock_volume + "\n"
high_low_directory = '/data/highlow.tsv'
open_close_directory = '/data/openclose.tsv'
volume_directory = '/data/volume.tsv'
#.........这里部分代码省略.........
示例4:
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
print ma200
if myargs.marketcap is True:
marketcap = stock.get_market_cap()
print marketcap
if myargs.getopen is True:
getopen = stock.get_open()
print getopen
if myargs.getbook is True:
getbook = stock.get_book_value()
print getbook
if myargs.dividendshare is True:
getdiv = stock.get_dividend_share()
print getdiv
if myargs.dividendyield is True:
dividendyield = stock.get_dividend_yield()
print dividendyield
if myargs.eps is True:
eps = stock.get_earnings_share()
print eps
if myargs.dayh is True:
dayhigh = stock.get_days_high()
print dayhigh
if myargs.dayl is True:
示例5:
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
except:
pass
try:
russell3000.set_value(s,'Market cap',shy.get_market_cap())
except:
pass
try:
russell3000.set_value(s,'Book value',shy.get_book_value())
except:
pass
try:
russell3000.set_value(s,'Ebitda',shy.get_ebitda())
except:
pass
try:
russell3000.set_value(s,'Dividend share',shy.get_dividend_share())
except:
pass
#try:
# russell3000.set_value(s,'Divident yield',shy.get_dividend_yield())
#except:
# pass
try:
russell3000.set_value(s,'Earnings share',shy.get_earnings_share())
except:
pass
try:
russell3000.set_value(s,'Year high',shy.get_year_high())
except:
pass
try:
示例6: Share
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_dividend_share [as 别名]
from yahoo_finance import Share, Currency
yahoo = Share('AAPL')
yahoo.refresh()
print yahoo.get_info()
print yahoo.get_avg_daily_volume()
print yahoo.get_stock_exchange()
print yahoo.get_book_value()
print yahoo.get_ebitda()
print yahoo.get_dividend_share()
print yahoo.get_price_earnings_ratio()
print yahoo.get_short_ratio()
print yahoo.get_price_book()
# f = open('nasdaqlisted.txt', 'r')
# print (f.readline())
# print (f.readline())