(self)
return pd.DataFrame(
            [
                [name, self.scraps[name].data, "record", self.filename]
                for name in sorted(self.scraps.keys())
                if self.scraps[name].data is not None
            ],
            columns=["name", "value", "type", "filename"],
        )
pandas dataframe: dataframe of cell scraps
pandas dataframe: dataframe of cell scraps
pandas dataframe : dataframe of cell scraps
def papermill_record_dataframe(self):
        """pandas dataframe: dataframe of cell scraps"""
        # Meant for backwards compatibility to papermill's dataframe method
        return pd.DataFrame(
            [
                [name, self.scraps[name].data, "record", self.filename]
                for name in sorted(self.scraps.keys())
                if self.scraps[name].data is not None
            ],
            columns=["name", "value", "type", "filename"],
        )
def papermill_record_dataframe ( self ) : # Meant for backwards compatibility to papermill's dataframe method return pd . DataFrame ( [ [ name , self . scraps [ name ] . data , "record" , self . filename ] for name in sorted ( self . scraps . keys ( ) ) if self . scraps [ name ] . data is not None ] , columns = [ "name" , "value" , "type" , "filename" ] , )