Initializing help system before first use

# 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
Polars Series | set (values treated as unique and unordered)
Polars DataFrame | Collection of arrays with a common index
Classes, dict, list, tuple | Unsupported
User-defined types | Unsupported
xpress.constraint | constraint
xpress.problem | Unsupported
xpress.var | decision_variable

Note: Polars is not automatically installed with xpressinsight. If you want to use Polars types, you must install the `polars` package in your Python environment.
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.
Parent Topic The Scenario Schema

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