本文整理匯總了Python中talib.DX屬性的典型用法代碼示例。如果您正苦於以下問題：Python talib.DX屬性的具體用法？Python talib.DX怎麽用？Python talib.DX使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類talib的用法示例。
在下文中一共展示了talib.DX屬性的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: add_DX
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def add_DX(self, timeperiod=14,
type='line', color='secondary', **kwargs):
"""Directional Movement Index."""
if not (self.has_high and self.has_low and self.has_close):
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'DX({})'.format(str(timeperiod))
self.sec[name] = dict(type=type, color=color)
self.ind[name] = talib.DX(self.df[self.hi].values,
self.df[self.lo].values,
self.df[self.cl].values,
timeperiod) 示例2: dx
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def dx(candles: np.ndarray, period=14, sequential=False) -> Union[float, np.ndarray]:
"""
DX - Directional Movement Index
:param candles: np.ndarray
:param period: int - default: 14
:param sequential: bool - default=False
:return: float | np.ndarray
"""
if not sequential and len(candles) > 240:
candles = candles[-240:]
res = talib.DX(candles[:, 3], candles[:, 4], candles[:, 2], timeperiod=period)
return res if sequential else res[-1] 示例3: DX
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def DX(DataFrame, N=14):
res = talib.DX(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)
return pd.DataFrame({'DX': res}, index=DataFrame.index)
# SAR - Parabolic SAR 示例4: dx
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def dx(self, sym, frequency, *args, **kwargs):
if not self.kbars_ready(sym, frequency):
return []
highs = self.high(sym, frequency)
lows = self.low(sym, frequency)
closes = self.close(sym, frequency)
v = ta.DX(highs, lows, closes, *args, **kwargs)
return v 示例5: __str__
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def __str__(self):
return 'DX(symbol=%s, period=%s)' %(self.symbol, self.period) 示例6: results
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def results(self, data_frame):
try:
directional_index = talib.DX(data_frame['%s_High' %self.symbol].values,
data_frame['%s_Low' %self.symbol].values,
data_frame['%s_Close' %self.symbol].values,
timeperiod=self.period)
data_frame[self.value] = directional_index
except KeyError:
data_frame[self.value] = np.nan 示例7: DX
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def DX(frame, n=14, high_col='high', low_col='low', close_col='close'):
return _frame_to_series(frame, [high_col, low_col, close_col], talib.DX, n) 示例8: DX
# 需要導入模塊: import talib [as 別名]
# 或者: from talib import DX [as 別名]
def DX(data, **kwargs):
_check_talib_presence()
_, phigh, plow, pclose, _ = _extract_ohlc(data)
return talib.DX(phigh, plow, pclose, **kwargs)