[hoffmanroni]

sorry got it now, thanks, pls disregard

[hoffmanroni]

Seems to be ok now. I’m not sure what happened but when I tried a few days ago it was missing but now its there, all good thanks.

[hoffmanroni]

FYI if anyone is interested I was able to get this working now

py script

import pandas as pd from ta.utils 
import dropna from ta.volatility 
import BollingerBands 
def returnBB(df, window=20, window_dev=2): 
    indicator_bb = BollingerBands(close=df["close"], window=20, window_dev=2) 
    # Add Bollinger Bands features 
    df['bb_bbm'] = indicator_bb.bollinger_mavg() 
    df['bb_bbh'] = indicator_bb.bollinger_hband() 
    df['bb_bbl'] = indicator_bb.bollinger_lband() 
    # Add Bollinger Band high indicator 
    df['bb_bbhi'] = indicator_bb.bollinger_hband_indicator() 
    # Add Bollinger Band low indicator 
    df['bb_bbli'] = indicator_bb.bollinger_lband_indicator() 
return df

and then q script

//load above .p script l bb.p

//make returnBB py func callable in q

func:.p.get`returnBB

//conv t to dataframe, pass to the py func and then conv back to qtable .ml.df2tab[func[.ml.tab2df[t]]]