def get_historical_data_as_dict(cls, start='2013-09-01', end=None):
if not end:
end = get_datetime()
data = cls._get_historical_data(start, end)
prices = data['bpi']
prices = {k: Decimal(str(v)) for (k,v) in prices.iteritems()}
return prices
def get_historical_data_as_dict(cls, start='2013-09-01', end=None):
if not end:
end = get_datetime()
data = cls._get_historical_data(start, end)
prices = data['bpi']
prices = {k: Decimal(str(v)) for (k, v) in prices.items()}
return prices
def get_historical_data_as_dict(cls, start='2013-09-01', end=None):
if not end:
end = get_datetime()
data = cls._get_historical_data(start, end)
prices = data['bpi']
# prices = {k: Decimal(str(v)) for (k,v) in prices.items()}
prices = OrderedDict(sorted(prices.items(), key=lambda t: t[0]))
return prices
def get_historical_data_as_list(cls, start='2013-09-01', end=None):
if not end:
end = get_datetime()
data = cls._get_historical_data(start, end)
dates = data['bpi']
ret = [
{'date': k, 'price': Decimal(str(v))} for (k,v) in dates.iteritems()
]
ret.sort()
return ret
def get_historical_data_as_list(cls, start='2013-09-01', end=None):
if not end:
end = get_datetime()
data = cls._get_historical_data(start, end)
dates = data['bpi']
ret = [
{'date': k, 'price': Decimal(str(v))} for (k,v) in dates.iteritems()
]
ret.sort()
return ret