PivotTransformation Properties TIBCO Spotfire 7.6 API Reference

The PivotTransformation type exposes the following members.

Properties

  Name Description
Public property CategoryColumns
Category columns values are used for grouping data into result columns. There will be an aggregated result data column for each distinct combined value of the Category columns.
Public property CategorySeparator
The category separator to be used when combining category values for value column names.
Public property IdentityColumns
Identity columns are passed through and identify each row of the result data.
Public property LoadReport
Gets the PartialDataLoadReport that can be used to report errors during connection.
(Inherited from DataTransformation.)
Public property Name
Gets the display name of the transformation.
(Inherited from DataTransformation.)
Public property ResultNamingExpression
Naming expression for the aggregated result data columns. This naming expression is a string containing placeholder to be replaced with values during Pivot as follows:
%M is replaced with the aggregation method name (empty string for None).
%V is replaced with the value column name.
%C is replaced with a concatenated list of category values separated by Category separator.
Public property SortRules
Rules for how result columns should be sorted. See SortRule.
Public property TransferColumns
TransferColumns are aggregated over the identity columns and stored into result transfer columns. See ColumnAggregation.
Public property TransferNamingExpression
Naming expression for the aggregated transfer result columns. This naming expression is a string containing placeholder to be replaced with values during Pivot as follows:
%A is replaced with the aggregation method name (empty string for None).
%T is replaced with the transfer value column name.
Public property TypeId
Gets the type identifier for the data source.
(Inherited from DataTransformation.)
Public property ValueColumns
Each value column data is aggregated over identity columns and category columns and stored into the result data columns. See ColumnAggregation.
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