本文整理汇总了Python中talib.CDLDOJI属性的典型用法代码示例。如果您正苦于以下问题：Python talib.CDLDOJI属性的具体用法？Python talib.CDLDOJI怎么用？Python talib.CDLDOJI使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类talib的用法示例。
在下文中一共展示了talib.CDLDOJI属性的5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: CDLDOJI
# 需要导入模块: import talib [as 别名]
# 或者: from talib import CDLDOJI [as 别名]
def CDLDOJI(DataFrame):
res = talib.CDLDOJI(DataFrame.open.values, DataFrame.high.values,
DataFrame.low.values, DataFrame.close.values)
return pd.DataFrame({'CDLDOJI': res}, index=DataFrame.index) 示例2: doji
# 需要导入模块: import talib [as 别名]
# 或者: from talib import CDLDOJI [as 别名]
def doji(self, sym, frequency):
if not self.kbars_ready(sym, frequency):
return []
opens = self.open(sym, frequency)
highs = self.high(sym, frequency)
lows = self.low(sym, frequency)
closes = self.close(sym, frequency)
cdl = ta.CDLDOJI(opens, highs, lows, closes)
return cdl 示例3: CDLDOJI
# 需要导入模块: import talib [as 别名]
# 或者: from talib import CDLDOJI [as 别名]
def CDLDOJI(frame, open_col='open', high_col='high', low_col='low', close_col='close'):
return _frame_to_series(frame, [open_col, high_col, low_col, close_col], talib.CDLDOJI) 示例4: test_cdl_doji
# 需要导入模块: import talib [as 别名]
# 或者: from talib import CDLDOJI [as 别名]
def test_cdl_doji(self):
result = pandas_ta.cdl_doji(self.open, self.high, self.low, self.close)
self.assertIsInstance(result, Series)
self.assertEqual(result.name, "CDL_DOJI_10_0.1")
try:
expected = tal.CDLDOJI(self.open, self.high, self.low, self.close)
pdt.assert_series_equal(result, expected, check_names=False)
except AssertionError as ae:
try:
corr = pandas_ta.utils.df_error_analysis(result, expected, col=CORRELATION)
self.assertGreater(corr, CORRELATION_THRESHOLD)
except Exception as ex:
error_analysis(result, CORRELATION, ex) 示例5: CDLDOJI
# 需要导入模块: import talib [as 别名]
# 或者: from talib import CDLDOJI [as 别名]
def CDLDOJI(data, **kwargs):
_check_talib_presence()
popen, phigh, plow, pclose, _ = _extract_ohlc(data)
return talib.CDLDOJI(popen, phigh, plow, pclose, **kwargs)