initializers list of intialization functions for your tables and the sequence should match tablesmapdicts custom map dictionary for your data columns and the sequence should match tables optional parameters:param batch_sizedjango bulk_create batch size :param bulk_savewhether to use bulk_create or to use single save per record sheet constructor sheet([sheetnamename_columns_by_row]two dimensional data container for filteringformatting and iteration pyexcel sheet class pyexcel sheet(sheet=nonename='pyexcel sheet'name_rows_by_column=- colnames=nonepose_before=falsetranspose_after=falsetwo dimensional data container for filteringformatting and iteration name_columns_by_row=- rownames=nonetranssheet is container for two dimensional arraywhere individual cell can be any python types other than numbersvalue of these typesstringdatetime and boolean can be mixed in the array this differs from numpy' matrix where each cell are of the same number type in order to prepare two dimensional data for your computationformatting functions help convert array cells to required types formatting can be applied not only to the whole sheet but also to selected rows or columns custom conversion function can be passed to these formatting functions for exampleto remove extra spaces surrounding the content of cella custom function is required filtering functions are used to reduce the information contained in the array variables name sheet name use to change sheet name row access data row by row column access data column by column exampleimport pyexcel as content {' '[[ ]] get_book(bookdict=contentb +--- +--- [ name 'ab[ name 'bb (continues on next page support the project