def to_items(self, column_names=None, selection=None, strings=True, virtual=False):
        """Return a list of [(column_name, ndarray), ...)] pairs where the ndarray corresponds to the evaluated data

        :param column_names: list of column names, to export, when None DataFrame.get_column_names(strings=strings, virtual=virtual) is used
        :param selection: {selection}
        :param strings: argument passed to DataFrame.get_column_names when column_names is None
        :param virtual: argument passed to DataFrame.get_column_names when column_names is None
        :return: list of (name, ndarray) pairs
        """
        items = []
        for name in column_names or self.get_column_names(strings=strings, virtual=virtual):
            items.append((name, self.evaluate(name, selection=selection)))
        return items
def to_items(self, column_names=None, selection=None, strings=True, virtual=False):
        """Return a list of [(column_name, ndarray), ...)] pairs where the ndarray corresponds to the evaluated data

        :param column_names: list of column names, to export, when None DataFrame.get_column_names(strings=strings, virtual=virtual) is used
        :param selection: {selection}
        :param strings: argument passed to DataFrame.get_column_names when column_names is None
        :param virtual: argument passed to DataFrame.get_column_names when column_names is None
        :return: list of (name, ndarray) pairs
        """
        items = []
        for name in column_names or self.get_column_names(strings=strings, virtual=virtual):
            items.append((name, self.evaluate(name, selection=selection)))
        return items
def to_items ( self , column_names = None , selection = None , strings = True , virtual = False ) : items = [ ] for name in column_names or self . get_column_names ( strings = strings , virtual = virtual ) : items . append ( ( name , self . evaluate ( name , selection = selection ) ) ) return items
Return a list of [(column_name, ndarray), ...)] pairs where the ndarray corresponds to the evaluated data

        :param column_names: list of column names, to export, when None DataFrame.get_column_names(strings=strings, virtual=virtual) is used
        :param selection: {selection}
        :param strings: argument passed to DataFrame.get_column_names when column_names is None
        :param virtual: argument passed to DataFrame.get_column_names when column_names is None
        :return: list of (name, ndarray) pairs
Return a list of [ ( column_name ndarray ) ... ) ] pairs where the ndarray corresponds to the evaluated data