Home
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.

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().

`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.

Syntax

ten.dist_apply(columns,fun,args)

Arguments

columns: A list of strings that represents a list of the columns that will be accessed at the sub-processes.
fun: A function object that is the function to be applied on the relevant segments. In order to retrieve column data at the sub-processes, fun has access to ten.get.
args: The argument passed to fun at the sub-processes.

Returns

A list of the return values for each call to fun. The list length will be equal to the number of segments.