gistfile1.txt

class S1AreaFractionTop_he(Lichen):

    """Cut between the 0.05th and the 99.9th percentile of the population in the parameter space Z vs S1AFT
    Note: https://xe1t-wiki.lngs.infn.it/doku.php?id=xenon:xenon1t:arianna:s1_aft_highenergy
       Contact: arianna.rocchetti@physik.uni-freiburg.de Arianna Rocchetti.
       Cut defined above cs1>200. 
    """
    version = 1

    def _process(df):
        print("Warning: Cut defined above cs1>200. ")
        def f1(x):
            f1 = -280.1*x**2 + 463.3 * x - 148.2 
            return f1
        def f2(x):
            f2 = -984.9*x**2 + 668.3* x - 114.8
            return f2
        df['f1_x'] = f1(df.x)
        df['f2_x'] = f2(df.x)
        df =df[df.y > df.f1_x ]
        df =df[df.y < df.f2_x ]
        return df
        
        
I return the dataframe that passes the cuts. I would like to get the same dataframe with another variable for each row, bool, that is it passes the cut it’s True, if not, False.
example: 
df['f1_x'] = f1(df.x)
df['f2_x'] = f2(df.x)

if ((df.y > df.f1_x) & (df.y < df.f2_x )):
            df['cut_bool'] = True
        else:
            df['cut_bool'] = False
return df