试图将通用振荡器（技术指标）从easylanguage转换为python

Question

我正在尝试将此代码转换为python。

bandedge= 20
whitenoise= (Close - Close[2])/2

if barindex>bandedge then
 // super smoother filter
 a1= Exp(-1.414 * 3.14159 / bandedge)
 b1= 2*a1 * Cos(1.414*180 /bandedge)
 c2= b1
 c3= -a1 * a1
 c1= 1 - c2 - c3
 filt= c1 * (whitenoise + whitenoise[1])/2 + c2*filt[1] + c3*filt[1]

 filt1 = filt

 if ABS(filt1)>pk[1] then
  pk = ABS(filt1)
 else
  pk = 0.991 * pk[1]
 endif

 if pk=0 then
  denom = -1
 else
  denom = pk
 endif

 if denom = -1 then
  result = result[1]
 else
  result = filt1/pk
 endif
endif

RETURN result COLOURED(66,66,255) as "Universal Oscillator", 0 as "0"

我从这些链接中获取了参考文献：

http://traders.com/Documentation/FEEDbk_docs/2015/01/TradersTips.html

https://www.tradingview.com/script/ieFYbVdC-Ehlers-Universal-Oscillator-LazyBear/

https://www.prorealcode.com/prorealtime-indicators/universal-oscillator-john-ehlers/

我正在使用熊猫，并且我的代码运行没有错误，但是我没有从交易视图中获得相同的结果。

import pandas as pd

def euo(df):
        df['close'] = [ float(x) for x in df['close']]
        df['whitenoise'] = [(row['close'] - df['close'].iloc[index-2])/2 for index,row in df.iterrows()]
        bandedge = 20
        a1= 2.718*(-1.414 * 3.14159 / bandedge)
        c2= 2.0*a1 * cos(1.414*180 / bandedge)
        c3= -a1 * a1
        c1= 1 - c2 - c3
        df['filt']= [c1*((row['whitenoise'] + df['whitenoise'].iloc[index-1])/2) for index,row in df.iterrows()]
        df['filter']= [row['filt']+c2*df['filt'].iloc[index-1]+c3*df['filt'].iloc[index-2] for index,row in df.iterrows()]
        df['pk0'] = [abs(row['filter']) for index,row in df.iterrows()]
        df['pk'] = [row['pk0'] if row['pk0'] > df['pk0'].iloc[index-1] else 0.991*df['pk0'].iloc[index-1] for index,row in df.iterrows()]
        df['denom'] = [-1 if row['pk'] == 0 else row['pk'] for index,row in df.iterrows()]
        df['res'] = [row['filter']/row['pk'] for index,row in df.iterrows()]
        df['uniosc'] = [df['res'].iloc[index-1] if row['denom'] == -1 else row['res'] for index,row in df.iterrows()]

有人可以帮我吗？