def is_uniform(self,verbose=True):
        """
        Check to make sure phenotype calls, or scored calls are consistent across all images / samples
        """
        uni = pd.Series(self['phenotype_calls'].apply(lambda x: json.dumps(x)).unique()).\
            apply(lambda x: json.loads(x)).apply(lambda x: tuple(sorted(x.keys()))).unique()
        if len(uni) > 1: 
            if verbose: sys.stderr.write("WARNING: phenotypes differ across the dataframe \n"+str(uni)+"\n")
            return False
        uni = pd.Series(self['scored_calls'].apply(lambda x: json.dumps(x)).unique()).\
            apply(lambda x: json.loads(x)).apply(lambda x: tuple(sorted(x.keys()))).unique()
        if len(uni) > 1: 
            if verbose: sys.stderr.write("WARNING: scored_calls differ across the dataframe \n"+str(uni)+"\n")
            return False
        return True