def anonymize_one(self, column, delete: bool, pattern: AnonymizationPattern = None):
    if column is None:
        return Logger.log_none_type_error('column')

    Logger.log_info_table_manipulation_started(self.filename, f'Anonymize One ({column})')
    # delete column in every dataset if found
    error_count = 0
    if delete:
        for ds in self.datasets:
            out = ds.delete_column(column)
            if out < 1:
                error_count += 1
        self.remove_columnnames([column])
    else:
        # if column is not deleted: generate a value for column, random or by pattern
        if pattern is None:
            for ds in self.datasets:
                out = ds.set_columnvalue_random(column)
                if out < 1:
                    error_count += 1
        else:
            for ds in self.datasets:
                out = ds.set_columnvalue_by_pattern(column, pattern)
                if out < 1:
                    error_count += 1

    Logger.log_info_table_manipulation_finished(error_count)
    return error_count