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