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Python tabulation functions
The following section contains the 1010data-supplied functions that can be placed within a tabulation (<tabu>) in Macro Language code.

Python tabulation functions
The following section contains the 1010data-supplied functions that can be placed within a tabulation (<tabu>) in Macro Language code.
- ten.dist_apply(columns,fun,args)
  Return a list of the return values for each call to the function object. This is the Python function used to disseminate Python code to all sub-processes.
- ten.make_table(data,labels=None)
  Prepares and sets the temporary table (worksheet) as well as its labels.
- ten.get(x)
  Return column data at the sub-processes. In order for ten.dist_apply to retrieve column data at the sub-procs, the fun argument in ten.dist_apply must have access to ten.get.
- Tabulation function examples
  The following examples show how to implement various Python applications within Macro Language code with the tabulation functions ten.dist_apply(), ten.make_table(), and ten.get().

Python tabulation functions

The following section contains the 1010data-supplied functions that can be placed within a tabulation (<tabu>) in Macro Language code.

Description

The supplementary 1010 functions in this section can be used with <code language_="python"> within a <tabu>. These functions have access to apply a Python function on all segments of a table. They are in the class ten that is preloaded into the Python session.

The Python function ten.dist_apply is used to disseminate Python code to all sub-processes. The function ten.make_table is used to create a worksheet. The function ten.get is used to get data at sub-processes.

Before exiting the Python session, a value named tabu must exist in the Python session in order for the accum to create a <tabu> worksheet.