我正在使用以下库用修改后的数据(财务数据的指标(填充数据框https://technical-analysis-library-in-python.readthedocs.io/en/latest/
然而，库中有许多类似乎缺少某些属性；或者缺少来自另一个类的继承。
我创造了一只熊猫。系列中充满了要演示的内容。我从类AronIndicator调用方法aroon_up((，并将前面提到的系列作为输入，但我得到一个"series"对象没有属性"_check_fillna"；错误我看到ArooIndicator类中没有属性_check_fillna，但IndicatorMixin中有。我曾尝试通过IndicatorMixin类运行Series，但它指出该类不接受任何参数。
有人能向我解释一下我做错了什么吗？
图书馆
class IndicatorMixin:
"""Util mixin indicator class"""
_fillna = False
def _check_fillna(self, series: pd.Series, value: int = 0) -> pd.Series:
"""Check if fillna flag is True.
Args:
series(pandas.Series): calculated indicator series.
value(int): value to fill gaps; if -1 fill values using 'backfill' mode.
Returns:
pandas.Series: New feature generated.
"""
if self._fillna:
series_output = series.copy(deep=False)
series_output = series_output.replace([np.inf, -np.inf], np.nan)
if isinstance(value, int) and value == -1:
series = series_output.fillna(method="ffill").fillna(method='bfill')
else:
series = series_output.fillna(method="ffill").fillna(value)
return series
@staticmethod
def _true_range(
high: pd.Series, low: pd.Series, prev_close: pd.Series
) -> pd.Series:
tr1 = high - low
tr2 = (high - prev_close).abs()
tr3 = (low - prev_close).abs()
true_range = pd.DataFrame(data={"tr1": tr1, "tr2": tr2, "tr3": tr3}).max(axis=1)
return true_range
class AroonIndicator(IndicatorMixin):
"""Aroon Indicator
Identify when trends are likely to change direction.
Aroon Up = ((N - Days Since N-day High) / N) x 100
Aroon Down = ((N - Days Since N-day Low) / N) x 100
Aroon Indicator = Aroon Up - Aroon Down
https://www.investopedia.com/terms/a/aroon.asp
Args:
close(pandas.Series): dataset 'Close' column.
window(int): n period.
fillna(bool): if True, fill nan values.
"""
def __init__(self, close: pd.Series, window: int = 25, fillna: bool = False):
self._close = close
self._window = window
self._fillna = fillna
# self._check_fillna = checkfillna
self._run()
self._check_fillna(IndicatorMixin._check_fillna())
def _run(self):
min_periods = 0 if self._fillna else self._window
rolling_close = self._close.rolling(
self._window, min_periods=min_periods)
self._aroon_up = rolling_close.apply(
lambda x: float(np.argmax(x) + 1) / self._window * 100, raw=True
)
def aroon_up(self) -> pd.Series:
"""Aroon Up Channel
Returns:
pandas.Series: New feature generated.
"""
aroon_up_series = self._check_fillna(self._aroon_up, value=0)
return pd.Series(aroon_up_series, name=f"aroon_up_{self._window}")
我的程序
# Create an empty DataFrame
table = pd.DataFrame()
# Create a serie of ones
list = np.ones((100))
sr = pd.Series(list)
# fill the empty Dataframe with the indicator of the Series
'try 1:'
table['numbers'] = AroonIndicator.aroon_up(sr)
'try 2:'
table['numbers'] = AroonIndicator.aroon_up(IndicatorMixin(sr))
# print the table
print(table)
Aroon函数以panda Series的形式返回值，但您正试图将结果分配给已初始化为DataFrame的"table"变量。
此外，当您可以传递给函数的唯一参数是"self"时，在调用该函数时不包含参数。
最后，不要在变量名中使用"list"之类的保留字。
尝试：
import pandas as pd
import numpy as np
list_values = pd.Series(np.ones(100))
sr = AroonIndicator(list_values)
sr = sr.aroon_up()
print(sr)