packages/vaex-core/vaex/dataframe.py
def to_arrow_table(self, column_names=None, selection=None, strings=True, virtual=False):
        """Returns an arrow Table object containing the arrays corresponding 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: pyarrow.Table object
        """
        from vaex_arrow.convert import arrow_table_from_vaex_df
        return arrow_table_from_vaex_df(self, column_names, selection, strings, virtual)
def to_arrow_table(self, column_names=None, selection=None, strings=True, virtual=False):
        from vaex_arrow.convert import arrow_table_from_vaex_df
        return arrow_table_from_vaex_df(self, column_names, selection, strings, virtual)
def to_arrow_table ( self , column_names = None , selection = None , strings = True , virtual = False ) : from vaex_arrow . convert import arrow_table_from_vaex_df return arrow_table_from_vaex_df ( self , column_names , selection , strings , virtual )
Returns an arrow Table object containing the arrays corresponding 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: pyarrow.Table object
Returns an arrow Table object containing the arrays corresponding to the evaluated data