def test_get_quote_string(self):
_yahoo_codes.update({'MarketCap': 'j1'})
df = web.get_quote_yahoo('GOOG')
self.assertFalse(pd.isnull(df['MarketCap'][0]))
quote = web.get_data_yahoo(symbol,thirty_days.strftime("%m/%d/%Y"), time.strftime("%m/%d/%Y"))
#quote = web.get_data_yahoo(symbol,thirty_days.strftime("%m/%d/%Y"), twenty_days.strftime("%m/%d/%Y"))
return quote
#from talib import MA_Type
from talib import MA_Type
upper, middle, lower = ta.BBANDS(close, matype=MA_Type.T3)
# Own test end
import pandas_datareader.data as web
from pandas.io.data import _yahoo_codes
a=web.get_quote_yahoo("MSFT")
b=_yahoo_codes.update({'MarketCap' : 'j1'})
print(a)
print(b)
a=web.get_quote_yahoo("GEN.CO")
b=_yahoo_codes.update({'52WeekLow' : 'j'})
print(a)
print(b)
print("stop")
aapl = web.get_data_yahoo("GEN.CO",'1/1/2016', '5/20/2016')
#appl = web.get_data_google("GEN",'1/1/2016', '5/20/2016')
#print(aapl.Close) # get all close price
#closeprice = ta.SMA(numpy.array(aapl.Close)) # Avoid Argument 'real' has incorrect type (expected numpy.ndarray, got Series) error.
def test_get_quote_string(self):
_yahoo_codes.update({'MarketCap': 'j1'})
df = web.get_quote_yahoo('GOOG')
self.assertFalse(pd.isnull(df['MarketCap'][0]))
from pandas.io.data import _yahoo_codes
from pandas.io.common import urlopen
import pandas.compat as compat
from collections import defaultdict
sym_list = 'APT'
_yahoo_codes.update({'MarketCap' : 'j1'})
request = ''.join(compat.itervalues(_yahoo_codes)) # code request string
header = list(_yahoo_codes.keys())
print header
data = defaultdict(list)
url_str = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (sym_list, request)
with urlopen(url_str) as url:
lines = url.readlines()
print lines