Simply pass the column names of which you want to find the outliers from. YOU NEED TO HAVE THE DATAFRAME NAMED "DF".

outlier_indices.py

def get_outlier_indices(columns_list):
    indices = []
    for column in columns_list:
        feature = df[column]
        Q1, Q3 = feature.quantile([0.25, 0.75]).values
        IQR = Q3 - Q1
        lower = Q1 - (1.5 * IQR)
        upper = Q3 + (1.5 * IQR)
        
        inds = list(df[(df[column] < lower) | (df[column] > upper)].index.values)
        indices.extend(inds)
    return set(indices)