pe get_sheet(file_name="your_file csv"start_row= row_limit= your_file csv+---+----+---- +---+----+---- +---+----+---- +---+----+----and you could as well do the same for columnspe get_sheet(file_name="your_file csv"start_column= column_limit= your_file csv+----+---- +----+---- +----+---- +----+---- +----+---- +----+---- +----+----obviousyou could do both at the same timepe get_sheet(file_name="your_file csv"start_row= row_limit= start_column= column_limit= your_file csv+----+---- +----+---- +----+---- +----+----the pagination support is available across all pyexcel plugins noteno column pagination support for query sets as data source formatting while transcoding big data file if you are transcoding big data setconventional formatting method would not help unless on-demand free ram is available howeverthere is way to minimize the memory footprint of pyexcel while the formatting is performed let' continue from previous example suppose we want to transcode "your_file csvto "your_file xlsbut increase each element by what we can do is to define row renderer function as the following support the project