Supported Types

Not all Python types are supported by Xpress Insight.

The table below describes which Python types are supported and how they map to Xpress Insight types.

Python Type	Insight Entity Type
Python bool	boolean
Python int	integer
Python float	real
Python str	string
Pandas Index	set
Pandas Series	array
Pandas DataFrame	Collection of array with a common index
Classes, dict, list, tuple	Unsupported
User-defined types	Unsupported
xpress.constraint	constraint
xpress.problem	Unsupported
xpress.var	decision_variable

Note Xpress Insight does not support nested types. Xpress Insight does not support nested types. Where a type is otherwise unsupported (such as nlctr), it can still be used in a model. Unsupported types cannot be declared as entities, because they are ignored by Xpress Insight and are not captured as input or results data.

Note Variables declared locally within a procedure or function are not visible to Xpress Insight.

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