packages/vaex-core/vaex/dataframe.py
def export(self, path, column_names=None, byteorder="=", shuffle=False, selection=False, progress=None, virtual=False, sort=None, ascending=True):
        """Exports the DataFrame to a file written with arrow

        :param DataFrameLocal df: DataFrame to export
        :param str path: path for file
        :param lis[str] column_names: list of column names to export or None for all columns
        :param str byteorder: = for native, < for little endian and > for big endian (not supported for fits)
        :param bool shuffle: export rows in random order
        :param bool selection: export selection or not
        :param progress: progress callback that gets a progress fraction as argument and should return True to continue,
                or a default progress bar when progress=True
        :param: bool virtual: When True, export virtual columns
        :param str sort: expression used for sorting the output
        :param bool ascending: sort ascending (True) or descending
        :return:
        """
        if path.endswith('.arrow'):
            self.export_arrow(path, column_names, byteorder, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        elif path.endswith('.hdf5'):
            self.export_hdf5(path, column_names, byteorder, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        elif path.endswith('.fits'):
            self.export_fits(path, column_names, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        if path.endswith('.parquet'):
            self.export_parquet(path, column_names, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
def export(self, path, column_names=None, byteorder="=", shuffle=False, selection=False, progress=None, virtual=False, sort=None, ascending=True):
        """Exports the DataFrame to a file written with arrow

        :param DataFrameLocal df: DataFrame to export
        :param str path: path for file
        :param lis[str] column_names: list of column names to export or None for all columns
        :param str byteorder: = for native, < for little endian and > for big endian (not supported for fits)
        :param bool shuffle: export rows in random order
        :param bool selection: export selection or not
        :param progress: progress callback that gets a progress fraction as argument and should return True to continue,
                or a default progress bar when progress=True
        :param: bool virtual: When True, export virtual columns
        :param str sort: expression used for sorting the output
        :param bool ascending: sort ascending (True) or descending
        :return:
        """
        if path.endswith('.arrow'):
            self.export_arrow(path, column_names, byteorder, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        elif path.endswith('.hdf5'):
            self.export_hdf5(path, column_names, byteorder, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        elif path.endswith('.fits'):
            self.export_fits(path, column_names, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
        if path.endswith('.parquet'):
            self.export_parquet(path, column_names, shuffle, selection, progress=progress, virtual=virtual, sort=sort, ascending=ascending)
def export ( self , path , column_names = None , byteorder = "=" , shuffle = False , selection = False , progress = None , virtual = False , sort = None , ascending = True ) : if path . endswith ( '.arrow' ) : self . export_arrow ( path , column_names , byteorder , shuffle , selection , progress = progress , virtual = virtual , sort = sort , ascending = ascending ) elif path . endswith ( '.hdf5' ) : self . export_hdf5 ( path , column_names , byteorder , shuffle , selection , progress = progress , virtual = virtual , sort = sort , ascending = ascending ) elif path . endswith ( '.fits' ) : self . export_fits ( path , column_names , shuffle , selection , progress = progress , virtual = virtual , sort = sort , ascending = ascending ) if path . endswith ( '.parquet' ) : self . export_parquet ( path , column_names , shuffle , selection , progress = progress , virtual = virtual , sort = sort , ascending = ascending )
Exports the DataFrame to a file written with arrow

        :param DataFrameLocal df: DataFrame to export
        :param str path: path for file
        :param lis[str] column_names: list of column names to export or None for all columns
        :param str byteorder: = for native, < for little endian and > for big endian (not supported for fits)
        :param bool shuffle: export rows in random order
        :param bool selection: export selection or not
        :param progress: progress callback that gets a progress fraction as argument and should return True to continue,
                or a default progress bar when progress=True
        :param: bool virtual: When True, export virtual columns
        :param str sort: expression used for sorting the output
        :param bool ascending: sort ascending (True) or descending
        :return:
Exports the DataFrame to a file written with arrow