Class/Object

ai.deepsense.deeplang.doperables.dataframe

DataFrame

Related Docs: object DataFrame | package dataframe

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case class DataFrame extends DOperable with DataFrameColumnsGetter with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, DataFrameColumnsGetter, DOperable, HasInferenceResult, AnyRef, Any
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Inherited
  1. DataFrame
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. DataFrameColumnsGetter
  7. DOperable
  8. HasInferenceResult
  9. AnyRef
  10. Any
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Visibility
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Instance Constructors

  1. new DataFrame()

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  9. def getColumnName(singleColumnSelection: SingleColumnSelection): String

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    Returns name of column based on selection.

    Returns name of column based on selection. Throws ColumnDoesNotExistException if out-of-range index or non-existing column name is selected.

    Definition Classes
    DataFrameColumnsGetter
  10. def getColumnNames(multipleColumnSelection: MultipleColumnSelection): Seq[String]

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    Names of columns selected by provided selections.

    Names of columns selected by provided selections. Order of returned columns is the same as in schema. If a column will occur in many selections, it won't be duplicated in result. Throws ColumnsDoNotExistException if out-of-range indexes or non-existing column names are selected.

    Definition Classes
    DataFrameColumnsGetter
  11. def inferenceResult: Option[DataFrameInferenceResult]

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    Definition Classes
    DataFrameHasInferenceResult
  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. def report: Report

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    Definition Classes
    DataFrameDOperable
  17. val schema: Option[StructType]

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    Schema of the DataFrame.

    Schema of the DataFrame. Usually it is schema of sparkDataFrame, but for inference, DataFrame may be not set but schema is known.

  18. val sparkDataFrame: org.apache.spark.sql.DataFrame

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    Spark representation of data.

    Spark representation of data. User of this class has to assure that sparkDataFrame data fulfills its internal schema.

  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. def withColumns(context: ExecutionContext, newColumns: Traversable[Column]): DataFrame

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    Creates new DataFrame with new columns added.

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from DataFrameColumnsGetter

Inherited from DOperable

Inherited from HasInferenceResult

Inherited from AnyRef

Inherited from Any

Ungrouped