Object/Class

com.audienceproject.crossbow

DataFrame

Related Docs: class DataFrame | package crossbow

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object DataFrame

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def empty(): DataFrame

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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. def fromColumns(columns: IndexedSeq[Seq[Any]], schema: Schema): DataFrame

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    Construct a new DataFrame from a list of columns and a schema.

    Construct a new DataFrame from a list of columns and a schema.

    columns

    the columns of the new DataFrame

    schema

    the Schema of the new DataFrame, where each entry matches with the data in the 'columns' list

    returns

    new DataFrame

  11. def fromSeq[T](data: Seq[T], columnNames: String*)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): DataFrame

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    Construct a new DataFrame from a sequence of rows.

    Construct a new DataFrame from a sequence of rows.

    T

    the type of a row, if this is a Product type each element will become a separate column

    data

    the sequence of rows which will form the new DataFrame

    returns

    new DataFrame

  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. def unionAll(dataFrames: Seq[DataFrame]): DataFrame

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    Unions all into a single DataFrame.

    Unions all into a single DataFrame. All DataFrames must have the same schema.

    dataFrames

    list of DataFrame to union

    returns

    new DataFrame

  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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