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docs/StardustDocs/topics/extensionPropertiesApi.md

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When [`DataFrame`](DataFrame.md) is used within Jupyter/Kotlin Notebook or Datalore with the Kotlin Kernel,
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something special happens:
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After every cell execution, all new global variables of type DataFrame are analyzed and replaced
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After every cell execution, all new global variables of type DataFrame are analyzed and replaced
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with a typed [`DataFrame`](DataFrame.md) wrapper along with auto-generated extension properties for data access.
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For instance, say we run:
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<!---END-->
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In normal Kotlin code, we would now have a variable of type [`AnyFrame` (=`DataFrame<*>`)](DataFrame.md) that doesn't have any
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TODO make df <dataFrame>
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In normal Kotlin code, we would now have a variable of type [`AnyFrame` (=`DataFrame<*>`)](DataFrame.md) that doesn't
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have any
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extension properties to access its columns. We would either have to define them manually or use the
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[`@DataSchema`](schemas.md) annotation to [generate them](schemasGradle.md#configuration).
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The `titanic.csv` file could be found [here](https://github.com/Kotlin/dataframe/blob/master/data/titanic.csv).
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Extension properties can be generated in IntelliJ IDEA using the [Kotlin Dataframe Gradle plugin](schemasGradle.md#configuration).
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Extension properties can be generated in IntelliJ IDEA using
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the [Kotlin Dataframe Gradle plugin](schemasGradle.md#configuration).
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<warning>
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In notebooks generated properties won't appear and be updated until the cell has been executed.

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