"lastQtrEPS",
"ttmEPS",
"twelveMonthEPSChg",
"peRatio",
"recentEarnings",
"recentDividends",
"recentSplit",
"beta"
]
# getQuote with ONE symbol
# ========================
print("{0} Quote".format(one_symbol))
print("=========")
try:
quote = getQuote(one_symbol, fields=quote_fields, session=session)
for timestamp in QUOTE_TIMESTAMP_COLS:
if timestamp in quote and quote[timestamp]:
quote[timestamp] = quote[timestamp].isoformat()
for datefield in QUOTE_DATE_COLS:
if datefield in quote and quote[datefield]:
quote[datefield] = quote[datefield].isoformat()
print(pp.pprint(quote))
except NotImplementedError as err:
print("getQuote failed: {}".format(err))
# getQuote with SEVERAL symbols
# =============================
print("\n{0} Quotes".format(many_symbols))
print("=====================================")
try:
if 'results' in results_dict:
results_list = results_dict['results']
df = pd.DataFrame(results_list)
df.index = [df['symbol'], df['tradeTimestamp']]
del df['symbol']
del df['tradeTimestamp']
import requests_cache
session = requests_cache.CachedSession(cache_name='cache',
backend='sqlite', expire_after=dt.timedelta(days=1))
# getQuote with ONE symbol
# ========================
symbol = "^EURUSD"
quote = barchart.getQuote(symbol,
apikey=barchart.API_KEY,
session=session)
print(quote) # quote is a dict
'''
--------------------------------------------------------------------------------
PYMC
--------------------------------------------------------------------------------
'''
lib.plot_invgamma(a=12, b=1)
# Bayesian normal regression example
# requests_cache is optional
# use it to have a cache mechanism
# a session parameter can be pass to functions
# =============================================
import datetime
import requests_cache
session = requests_cache.CachedSession(cache_name='cache',
backend='sqlite', expire_after=datetime.timedelta(days=1))
#session = None # pass a None session to avoid caching queries
# getQuote with ONE symbol
# ========================
symbol = "^EURUSD"
quote = getQuote(symbol, session=session)
print(quote) # quote is a dict
# getQuote with SEVERAL symbols
# =============================
symbols = ["ZC*1", "IBM", "GOOGL" , "^EURUSD"]
quotes = getQuote(symbols, session=session)
print(quotes) # quotes is a Pandas DataFrame
#print(quotes.dtypes)
#print(type(quotes['serverTimestamp'][0])) # should be a pandas.tslib.Timestamp
CONFIG.output_pandas = False
quotes = getQuote(symbols, session=session)
print(quotes) # quotes is a Pandas DataFrame
CONFIG.output_pandas = True
