Entity Definition Container Classes
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Represent a single column within a DataFrame entity. Outside the Python model (e.g. VDL, Tableau), the column will be represented as a separate entity whose name combines the names of the DataFrame and the Column, concatenated by an underscore, i.e. MyDataFrame_MyColumnName
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Initializes Column.
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The configuration of a DataFrame entity. Use the helper function xpressinsight.types.DataFrame to declare a DataFrame entity in an app, rather than instantiating xpressinsight.DataFrame directly.
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Initializes DataFrame.
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Abstract base class of all Insight entities, including composed entities like DataFrames.
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The configuration of an index entity. Use the helper function xpressinsight.types.Index to declare an index entity in an app, rather than instantiating xpressinsight.Index directly.
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The constructor.
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The configuration of a parameter entity. Parameters can be used to configure an Xpress Insight app. When parameters are declared, their name, data type, and default value must be specified. Parameters are typically read-only. Use the helper function xpressinsight.types.Param to declare a parameter entity in an app, rather than instantiating xpressinsight.Param directly.
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Initializes Param with the data type or a default value (in which case data type is inferred).
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The configuration of a scalar entity. Rather than instantiating xpressinsight.Scalar directly, you should use the helper function xpressinsight.types.Scalar or xpressinsight.data.Scalar to declare a scalar entity in an app or scenario data container, as appropriate.
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The constructor.
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The configuration of a Series entity, a declaration of a pandas Series data structure. Use the helper function xpressinsight.types.Series to declare a Series entity in an app, rather than instantiating xpressinsight.Series directly.
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Initializes Series.
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